Document qbVQpMVXJg9vpkQO50aqDKRG
TOXIC SUBSTANCES JOURNAL
VOL. 4. No. 4
SPRING, 1983
CONTENTS
From the Editor - Formaldehyde - To Ban Or Not To Ban 247 George S. Dominguez
Laws lor the Regulation of Carcinogens; Identifying and 251 Estimating the Risks That the Laws Seek to Reduce Dr. Michael Gough
The Legal Development of a Viable Remedy For 277 Toxic Pollution Victims Kenneth G. Bartlett
Establishing Regulatory Priorities 290 John T. Barr
Fifth Circuit Court of Appeals Decision On Consumer Product 302 Safety Commission (CPSCI Urea Formaldehyde
Foam Insulation (UFFII
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EDITORIAL BOARD - TOXIC SUBSTANCES JOURNAL George S. Dominguez, Senior Editor
Dr. A Karim Ahmed
Senior Staff Scientist Natural Resources Defense
Council
Taylor W. Hanavan
Of Counsel-Environmental Matters Connolly, Bove 4c Lodge
Kenneth Bartlett, Esq. Counsel Solomon and Stanton
Dr. John D. Behun Corporate Manager of Toxic Substances Control Mobil Oil Corporation
Dr. J. Clarence Davies Executive Vice President The Conservation Foundation
Dr, Fred D. Hoerger Director, Regulatory and Legislative Issues Health and Environmental Sciences The Dow Chemical Company
George W. Ingle Director, Association Liaison Chemical Manufacturers Association
George S. Dominguez President Springborn Regulatory Services, Inc.
Ronald A. Lang
Executive Director Synthetic Organic Chemical
Manufacturers Association
Dr. Seymour L. Friess
Managing Director Drill, Friess, Hays, Loomis and Shaffer, Inc.
Robert Polack Vice President &. General
Counsel Reilly Tar & Chemical Corporation
Dr. Charles Ganz
President and Technical Director EN-CAS Analytical Laboratories
Sarah Shapley
Industrial Liaison Office of Toxic Substances Environmental Protection Agency
Dr. Sam Gusman
Senior Associate The Conservation Foundation
Chase College of Law
Edward H. Ziegler, Jr. Professor of Law Northern Kentucky University
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Establishing Regulatory Priorities
John T. Barr*
Abstract
PAST EFFORTS TO IMPROVE the effectiveness of regulatory activities have met opposition from two directions: the criticism of the details of administrative procedures recommended for use, and the conflicting goals of various constituencies. Congress has failed to establish consistent national priorities or goals for regulatory action, but has provided specific mandates which often are conflict ing in their purpose. The regulator must in many cases make a decision whether to regulate or not, and if so, to what degree, despite these obstructions. There is a need therefore for a method by which the potential universe of regulatory candidates can be divided into manageable groups according to the need for control. The strengths and weaknesses of various past efforts to establish regulatory priorities are discussed, and the broad outline of a procedure is described; which will assist in assigning the needed priorities to reasonably sized groups of candidates, both within agencies and on a national basis.
Introduction
It is not helpful to a regulator simply to reiterate the difficulties and shortcomings of the existing methods for estimating either the relative or the absolute risk posed by a candidate substance. There are times when political pressures, statutory mandates, or occasion ally, the finding that a substance is more hazardous than was thought previously, require that a regulatory decision must be made. The responsible regulator wishes to make this decision in the
*Mr. Barr is Manager, Regulatory Response, Air Products and Chemicals, Inc., Allentown, PA.
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BIBLIOGRAPHY
1. Baurer, "Love Canal: Common Law Approaches to Modern Tragedy", 11 Ervt'l L. 133 (1980).
2. Bruno, 'The Development of a Strict Liability Cause of Action for Personal Injuries Resulting From Hazardous Waste", 16 New. Eng, L. Rev. 543 (1980-81).
3. Feinberg, "Denial of a Remedy: Former Residents of Hazardous Waste Sites and New York's Statute of Limitation," 8 Colum. J. Envt'l L. 162 (1982).
4. Fischer, "Availability of Private Remedies for Acid Rain Damage," 9 Ecology L. Q. 429 (1981).
5. Fulton, "Hazardous Waste: Third Party Compensation for Contingencies Arising From Inactive and Abandoned Hazardous Waste Disposal Sites," 33 S.C.L. Rev. 543 (1982).
6. Ginsberg and Weiss, "Common Law Liability for Toxic Torts: A Phantom Remedy, 9 Hofstra L.J. 59 (1981).
7. Hinds, "Liability Under Federal Law for Hazardous Waste Injuries," 6 Harv. Envt'l L. Rev. 1 (1982).
8. Hornabach, 'Toxic Torts - Is Strict Liability Really the Fair and Just Way to Compensate the Victims?", 16 U. Rich. L. Rev. 305 (1982).
9. Meyer, "Compensating Hazardous Waste Victims? RCRA Insurance and a Not So 'Super' Fund Act," 11 finvt't L. 689 (1981).
10. McGovern, 'Toxic Substances Litigation in the Fourth Circuit," 16 U. Rich L. Rev. 247 (1982).
11. Parnell, "Manufacturers of Toxic Substances: Toct Liability and Punitive Damages", 17 Forum 947 (1982).
12. Soble, "A Proposal for the Administrative Compensation of Victims of Toxic Substance Pollution: A Model Act," 14 Harv. J. on Legislation 683 (June, 1977).
13. Sokolow, "Hazardous Waste Liability and Compensation: Old Solutions, New Solutions, No Solutions," 14 Conn. L. Rev. No. 2 387 (1982).
14. Stanley, "Establishing Liability for the Damages from Hazardous Wastes; An Alternative Route for Love Canal Plaintiffs," 31 Cath. U.L. Rev. 273 (1982).
15. Vohl, "Unearthing Defendants in Toxic Waste Litigation: Problems of Liability and Identification," L9 S.D.L. Rev. 891 (1982).
16. "An Analysis of Common Law and Statutory Remedies for Hazardous Waste Injuries," 12 Rutgers L. J. 117 (1980).
17. "Hazardous Wastes: Preserving the Nuisance Remedy," 33 Stan. L. Rev. 675 (1981).
L8. "Private Nuisance Approach to Hazardous Waste Disposal Sites," 7 Ohio N.U.L. Rev. 86 (1980).
19. "Pursuing a Cause of Action in Hazardous Waste Pollution Cases," 29 Buffalo L. Rev. 533 (1980).
20. "Injuries and Damages from Hazardous Waste - Analysis and Improvement of Legal Remedies, A Report to Congress in Compliance with Sec. 301(e) of the Comprehensive Environmental Response, Compensation and Liability Act of 1980," U.S, Government Printing Office (September, 1982) Parts 1 and 2. Serial No. 97-12.
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context of the spectrum of risks presented by other potential candidates, and therefore needs a means of comparing the risks of this substance with that of others on the agenda.
Many procedures for making this comparison have been proposed
and tried. The National Cancer Program conducted its bioassay studies for many years on a priority schedule which was derived from an evaluation of the importance of a particular chemical by a panel of experts who considered, among other criteria, the extent of exposure and the probable hazard of the substance. A numerical value representing this evaluation was used to place the substance in the testing schedule. A very similar ad hoc value judgment is used by the Interagency Testing Committee (ITC) to discharge its man date under Section 4 (e) of the Toxic Substances Control Act. 1 Public comment and input also are utilized in this screening
program. The Environmental Protection Agency (EPA) engaged contrac
tors to survey the universe of airborne organic pollutants for candidates. 2 This resulted in a priority list of 43 substances 3 chosen primarily because of exposure estimates, from which in dividual chemicals have been selected for regulatory consideration under a proposed airborne carcinogen policy 4 after a prelminary evaluation of the carcinogenic risk of that chemical. 5
The Occupational Safety and Health Administration (OSHA) established criteria for screening the current literature 6 for potential carcinogens and produced a candidate list 7 from which it also is to choose a priority list for regulatory consideration.
None of these methods has met with great success. The EPA has expended tremendous effort in literature surveys and other studies in order to determine if the substances on the ITC list requires
further testing, and at one time had fallen years behind the statutory schedule for making this decision. 8 The philosophy of the proposed carcinogen policy failed to withstand scientific scrutiny the first time that it was tested. 9 OSHA had the foundation of its program destroyed by the Supreme Court decision in the benzene case, 10 and has halted further regulatory action in this area while reconsidering the policy. L1
The National Research Council Report
The Committee on Environmental Decision Making of the National Research Council (NRC) evaluated the rulemaking process es of the EPA, and recommended 12 a more goal-oriented and quantitative approach than that which was found at the Agency. An effort to implement this recommendation resulted in a contract between the EPA and the NRC to study the feasibility of applying that approach to the,Pesticide Program.
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The NRC Committee which was charged with this task quickly came to the realization that the EPA was faced with an insurmount
able task in attempting to quantify the risk to humans or the environment of some 500-plus active ingredients which are utilized
in over 35,000 formulations. Even had there been adequate data for these risk estimates, the logistics were overwhelming for the preparation of the preliminary risk estimates, even without any consideration of alternatives or benefits. 13
The NRC Report contains many other sound, reasonable, and undoubtedly useful recommendations. There is no question that the call for a greater familiarity of the staff with pesticide manufac ture and use will be helpful in regulatory evaluation. The recom mendation for the presentation of the results of risk estimates, as
both the most probable and the reasonable upper bound values, is sound. The realization that society as a whole pays the cost and reaps the benefits of regulations is fundamental, but often over
looked. The establishment of external review panels with the appropriate expertise for evaluating both risks and benefits is reasonable. Implementation of these proposals should improve the efficiency of the pesticide program greatly, and serious considera tion should be given to the applicability of similar programs in the other agency offices.
However, the keystone of the Report is the ordering of the task into a manageable array by determining the relative toxicity and exposure of the active ingredients. It is this segment which will be discussed below, particularly its applicability to chronic hazards in
general, and carcinogenicity in particular. The problem for the regulatory agencies has been increased by
the mixed signals they have received from Congress. For example, the Delaney Clause forbids any consideration of potential benefits
from the use of a substance suspected of being an animal carcino gen, and of the costs of foregoing the use of that substance to
society, while the Toxic Substances Control Act and the Federal Insecticide, Fungicide and Rodenticide Act require the use of costbenefit analysis, and the Clean Air Act is silent on the subject. A rational ordering of national priorities can come only as the result of Congressional direction, but in the meantime the regulatory agencies are bound to follow their current mandates. Efforts along the lines suggested by the NRC Report will be of great value in organizing this effort.
Some Major Regulatory Problems
The need for establishing priorities to handle a large universe of potential candidates has long been recognized by the EPA. It faces this problem in every office of its structure, toxic substances,
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hazardous wastes, airborne pollutants, water contaminants, and so on. It has resisted a case-by-case evaluation of the hazard of a particular substance, and because of administrative convenience has looked at production levels, ll* number of persons exposed, 3 ability to detect 15 or some other surrogate for potential risk to the environment, rather than the characteristics of the substance itself. It is here that the NRC proposal, in recommending a case-by-case evaluation of the need for regulation after a priority list has been developed, is unique, and potentially most valuable.
However, the task is only made more manageable, and not necessarily any simpler, by taking this approach. As the NRC Report points out, the data base will not become more reliable, nor the
interspecies extrapolation more rational, by the application of a particular mechanism for their consideration. We still are unable to extrapolate risks for animals with any precision much beyond the observed dose range, despite the availability of extremely large data
bases 16 and much additional information is necessary before any approximation of human risk from animal data is possible.
The determination of relative risk even within the animal data base will be a complex problem because of interspecies, strain, colony, and interlaboratory differences. One proposal, for example, has been that a specific point on the dose response curve, such as 50% tumor production (T50), be taken as the comparative datum. 17 Even this simple assessment is fraught with problems. As the potency of the substance varies in comparison to its acute toxicity, the T50 point assumes various positions relative to the Maximum Tolerable Dose (MTD), and thus may be more or less affected by the animal life span. At the same time the pharmacokinetics may be varying as various metabolic pathways approach saturation. Using a
lower tumor yield as the datum will reduce the severity of these effects, and will move the comparison point closer to the dose of interest, but the basic problem remains.
Similarly, there is the question of whether all "excess tumors" should be considered, or only fatal tumors, or only tumors of certain organs which are thought to be relevant to both the test animal and humans. These effects also often are variable as dose level changes.
Similar problems exist in the consideration of whether the design of the original experiment was suitable for this type of evaluation, or whether it is proper to compare data in this manner for a broad variety of classes of compounds with perhaps different mechanisms of carcinogenesis or dose response curves. These problems exist, in fact, for almost any other particular feature of the data base.
Resolution of these problems can be obtained by careful evalua tion of all of the available scientific data for each substance, and in some cases, development of additional facts. Resources are not
available, and political pressure often does not allow the necessary time to do this properly for all candidate substances simultaneously.
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Separation of the candidate list into categories according to the degree of apparent need for control is necessary to make the task possible.
A key feature of the NRC Committee recommendation is that the substances should be considered for regulation in the order
determined by the relative toxicities, not that they be regulated in that order. The report then goes on to describe some of the factors
which are to be developed by the experts in preparing the data for this consideration by Agency management. These include evaluation of the relative toxicity of the major pesticides from animal data, estimating human risks where reliable epidemiological or other
relevant data are available, and determining probable exposure from the most likely uses of the pesticides over its probable economic
life, and under various regulatory options. Benefits of use are to be estimated and reviewed by an external panel separate from that which reviewed the scientific data. All of this effort is combined
into a presentation for Agency management to use in making a decision as to the need for, and possible extent of, regulation of that substance.
The Separation of Scientific and Political Phases
This is the second major feature of the NRC recommendation, the explicit separation of the scientific and sociopolitical phases of regulation. The NRC proposal is aimed at preparing the decision package for agency management consideration, and not at the final decision itself, and turns its efforts toward assuring that the best possible scientific data base is provided for determining whether or not to proceed.
Fast Agency efforts have failed in part because of insistence that the final decision to regulate be included in the preparation of the preliminary package, thus forcing an intermingling of scientific and sociopolitical considerations at a premature point. This also led to a temptation to present only those scientific data which support ed the preformed decision.
A regulatory decision should be the result of at least three classes of consideration. First, a substance becomes a candidate because of statutory requirements, political pressure, or data sug gesting reasons for concern. The proponent of the regulation then will prepare a data package containing the relevant facts, and the interpretation of those facts as they apply to the candidate. This leads to the ability to prepare the first level of recommendation, and sometimes the matter will stop there, or be deferred until more urgent needs are met.
Thus, if the facts point toward an immediate need for regulation, the scientific data base should be reviewed by an independent body
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of scientists competent in the appropriate fields to determine the soundness and completeness of the data, and for an estimation of the actual risk to humans at the anticipated exposures. If a reliable human risk cannot be obtained, then a risk relative to other
important substances should be estimated. A conclusion that there is a significant risk leads to the third level of consideration.
Management must then consider the risk estimate in light of all other social factors, the costs of the regulation, the benefits of the candidate, and all other consequences of the decision to regulate or not regulate. One major factor for consideration is the proportion of resources of the Agency and of the nation which should be allotted
to this problem; how great the danger is in comparison to other perceived dangers. Thus, the same concept of priority assignment which assisted in choosing which potential candidates to study will be helpful also in choosing which to regulate after an appropriate
screening process.
Consequences of the Failure to Establish Priorities
It appears that much of the congestion within Agency decision
channels has come from an excess of possible candidates at all
levels, with no clear guidance mechanism to assist in an orderly
categorization. In some instances this has led to an effort to control
simultaneously not only all pesticide^, as the National Academy of
Sciences (NAS) study discusses, but also all potential water pollut
ants 18 or all suspect carcinogens,
or all volatile organic
substances, 19 without adequate determination of the need for
regulation of the individual members of these classes. Strong opposition to this excessively broad approach has delayed considera
tion of any single substances, because Agency resources were
absorbed in defending the original approach rather than in develop
ing the required data bases. Thus, the need for a method to set
priorities is clear, both in intramural programs and on a national
basis.
Other Suggestions for Establishing Priorities
Few writers have addressed the question of priority setting, seeming to prefer instead to discuss the degree of control which is to be applied rather than the order in which it is applied. One reason for this may be due to the very great difference of perception which various persons have for different forms of risk. 20 If we are unable to agree on which things are risky, we are not likely to agree on how
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to abate the risks, or on when the risk has been reduced to a satisfactory level. Thus, activist groups such as the Environmental Defense Fund 21 accepts nothing less than a drive toward zero emissions and zero risk from whatever substance is in the process of being regulated. The President's Commission for a National Agenda for the Eighties expressed the opinion that environmental regulation should have a "high priority", but gave little direction except to express the feeling that marketplace forces, among other factors, should determine the weight of that priority. 22 Sir Richard Doll recently restated his belief that epidemiology is a powerful tool for identifying areas that require attention. 23 Useful efforts have been made in this direction by workers at the National Institute of Health, Higginson, 25 and many others. Crouch and Wilson have proposed a system which goes beyond the NRC scope of pesticides, and which they say can be used to estimate the human risk of any suspect carcinogen. 26 A risk estimator is developed from the potency of the substance and the expected dose, and used to establish priorities. The method depends heavily on a number of assumptions as to the shape of the dose response curves and interspecies equalities, and is subject to other criticism such as ultraconservatism, 27 but may offer some assistance at making a first broad sweep at a large population of candidates. All of these suggestions have been general in nature, and none is of great assistance to a particular regulatory problem.
One of the few proposals for assigning priorities which has been developed in enough detail to be useful to the regulators is that by Blair, who has suggested 2B that the elephantine mass of potential candidates be digested one bite at a time. His proposal makes use of some of the steps already tried by various groups, but sets them in a coherent policy that leads to a useful final product. The major steps in his proposal are as follows:
1. Determine the universe of interest. For Blair this was the testing needs of the substances in the TSCA inventory, and was the class of pesticides in the NAS study.
2. Choose the relevant components of that universe. For the TSCA list, he proposed starting with the largest volume substances, plus those chosen by an expert panel from the remainder because of some specific reason for concern. NAS suggests usage as the criterion.
3. Separate those on which adequate data are available. This would be primarily those which have been regulated recently, or which have been in widespread use long enough to demonstrate relative safety.
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4. Summarize the available information on the remaining sub stances. He suggested a scoring system similar to that now used by the ITC. 1 NAS proposed a potency index.
5. Establish an exposure score. Both environmental and occupa tional exposures would be rated by several factors. The NAS grouped these together in one usage index.
6. Determine critical missing data on those substances for which steps 4 and 5 were incomplete.
7. Refine the scoring as the data base becomes more complete, to give a final ordering of the degree of concern for the group. The scores of each step can be combined into a weighed composite final value.
It may well become apparent during this effort that some substances provide a high degree of concern early in the process, and should be singled out for more detailed study, while others may be eliminated. Many of the substances, however, will go through the entire process, and will form a potential candidate pool. The list will be ranked in order of decreasing concern from those candidates which warrant immediate consideration to those for which the risk is trivial or non-existent. It will be necessary at this stage for the Agency to assess the estimated relative risks in this ranking in comparison to the risks of ordinary life, and in view of the resources of the Agency. This will allow the selection of the most pressing candidates for further immediate consideration for regulation. A factor which should be included in this consideration is the ability of the Agency to obtain meaningful abatement of risk under its statutory authority.
Squire recently has proposed 29,30 a method for ranking the potential concern for human risk from animal carcinogen test data which would be useful at this last step. This method weighs the scientific data for six factors and assigns the resulting scores to five classes which carry a graduated urgency for regulation. He deliber ately omits any consideration of human data until this ranking step is complete, and thus furnishes another means of establishing the priority by which evaluation proceeds on an orderly step-by-step basis. Those compounds which yield the highest priority by his process would be the first to be considered at the next step by the incorporation of any available human or pharmacokinetic data. This suggestion assists the regulatory agencies in selecting the most cost-effective candidates for final recommendation to agency man agement.
A decision tree is a convenient device for organizing the available information for evaluation. The Food Safety Council 3l*
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and Campbell 32 and Park and Snee 33 have illustrated the use of this feature in recent papers. This device provides a useful means of displaying the many factors which should be considered in the evaluation of a substance, and for determining whether these data
are available to the regulator. Campbell gives several examples of application to food additives which lead to reasonable decision on
the degree of regulation which may be needed. He also illustrates how it can be used to conclude that added dietary protein, which can be termed a carcinogen under a strict interpretation of the Delaney
philosophy, does not require regulation. Application of sound scientific criteria to each substance during
the evaluation process by such a method will help reduce the final candidate list to manageable size. Some of the methods used
currently by regulators simply serve to carry a list of missing data down to the bottom line without adequate consideration of whether
the unanswered questions actually are relevant. The final package for the regulator in a particular agency will
consist of a relatively small group of substances on which all of the available scientific data have been gathered and evaluated by independent experts, presented in a manner which will permit an ordering of the risks presented by each substance under the circum stances relevant to that agency, and including a summary of the
actions being taken by other agencies.
National Priorities
Differing agencies will work on different universes of sub stances, but there will be overlaps among these groups. Thus, there should be constant coordination and cooperation among the agen cies, both in data acquisition and regulator evaluation. The end result will be a relatively small and workable list of substances which will guide the agencies in their actions.
Various agencies and offices may use different weighing factors in assigning the final score. OSHA will be more concerned about the occupational exposure, EPA will be more concerned for the environ mental exposure, and FDA the intake in foods.
Each agency should reevaluate the final score of a substance after another agency has taken regulatory action on it. Often the relative score will be changed substantially because of such action, and the agencies will feel less pressure to regulate a material simply because the other agency has done so. In fact, it may well be that because one agency has acted, the other agencies can direct their attention to matters of higher priority.
The final cumulative score will be valuable not only for estab lishing priorities within the agencies, but also for determining national priorities, both for immediate action, and for the allocation
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of resources by Congress. If it should develop that the majority of the top scores were because of great environmental exposure, then
the EPA would receive relatively larger appropriates than, say, OSHA.
The application of such a process for risk scoring will be of
major assistance in developing a coherent national policy that will assure the most effective allocation of resources. Conscientious regulators which will do more good than harm. The use of such a national priority list can help assure that unnecessary effort is not being expended in relatively unproductive areas, or at the expense of a more critical need. We have no good way of establishing
national scientific priorities at this time, 34 nor even for measuring the effectiveness of our regulatory efforts on a national basis. We must develop a method for establishing a sound scientific basis for setting these priorities and measuring the progress toward our goals.
Various modifications of the procedures suggested by the NRC
and by Blair can be applied as appropriate, and the procedures undoubtedly will be modified as experience is gained in their use. It does seem important that some such procedure be applied on a national basis. Congress, the regulatory agencies, and society as a whole urgently needs guidance such as this process can provide in order to evaluate and direct our efforts in the protection of human health and the environment.
The increasing awareness that our resources are limited, on even a national scale, and that our past efforts have not been as productive or efficient as we might have wished, leads us to the conclusion that when regulatory action is taken it should be on the basis of the best available information in order to be cost-effective. To do otherwise will not only waste our resources on the regulation of politically important but toxicologically unimportant substances
while more serious hazards may be ignored, it will discourage the development of the very data which we require for effective priority-setting. 35
REFERENCES
1. Interagency Testing Committee (1977, "Preliminary List of Chemical Substances For Further Evaluation", July.
2. Environmental Protection Agency (1980), "Chemical Selection Method; An Annotated Bibliography", EPA 500/TUS-80-001, November.
3. Environmental Protection Agency (1980, "Human Exposure to Atmospheric Concentrations of Selected Chemicals," prepared by Systems Applications, Inc., under contract 68-02-3066, May 6.
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4. Environmental Protection Agency (1979), "National Emission Standards for Hazardous Air Pollutants;" "Policy and Procedures for Identifying.. Assessing, and Regulating Airborne Substances Posing a Risk of Cancer1', 44 Federal Register 5B642-58S66, October 10.
5. Albert, R.E., (1980), 'The Carcinogen Assessment Group's Method for Determining the Unit Risk Estimate for Air Pollutants", July 31.
6. Occupational Safety and Health Administration (1980), "Identification, Classification, and Regulation of potential Occupational Carcinogens", 29 CFR. 1990, published at 45FR 5002-5296, January 22 and 45FR, June 27.
7. Occupational Safety and Health Administration (1980), "List of Substances Which May Be Candidates For Further Scientific Review and Possible identification Classification, and Regulation as Potential Occupational Carcinogens," 45FR 5367253679, August 12.
8. Hernandez, J.W., Jr., Affidavit before the U.S. District Court, Southern District of New York, June 30, 1981, in the Case of Natural Resources Defense Council EPA, 79 Dov. 2411, in response to a final judgment by Judge L.W. Pierce of January 9, 1981.
9. Science Advisory Board Subcommittee on Airborne Carcinogens (1960), transcript of meeting September 4-5, Washington, D.C.
10. Industrial Union Department, AFL-CIO v. American Petroleum Inst. 448 US 607 (1980).
11. Occupational Safety and Health Administration (1981), "Withdrawal of Proposed Amendments" 46FR 19000, March 27.
12. National Research Council (1977), "Decision Making in the Environmental Protection Agency, VoL 0", Environmental Studies Board, Committee on National Resources, Washington, D.C.
13. National Research Council (1980), "Regulating Pesticides". Environmental Studies Board, Committee on National Resources, Washington, D.C.
14. Environmental Protection Agency (1980), "Pesticides and Toxic Substances; General Recordkeeping and Reporting Requirements; Preliminary Assessment Information". Proposed rule, 45FR 13464-13676, February 29.
15. Environmental Protection Agency (1980), 40 CFR 261. "Identification and Listing of Hazardous Waste, Subpart B, Sec. 261.II". Criteria for listing hazardous wastes. 45 CFR 33121, May 19.
IS. Society of Toxicology, EDO! Task Force (1981), "Reexamination of the EDqi Study". Revision of Statistics. Fund. AppL Tox. 1 124-126.
17. Peto, R, (1981). "Statistical Analysis To Tumor incidence and Time to Tumor Data". Presented at Society of Toxicology/National Center for Toxicological Research Workshop on Biological and Statistical Implications of the EDqi Study and Related Data Bases, Deer Creek State Park, Mt. Sterling, OH, September 13-
18. Environmental Protection Agency (1979), "Water Quality Criteria". 44FR 1592715984, March IS.
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19. Environmental Protection Agency (1981), "Standards for Performance for New Stationary Source; VOC Fugitive Emission Sources? Symnthetic Organic Manufacturing industry". 46FR 1136-1165, January 5.
20. Slovic, P., B. FLschoff, and Sarah Lichenstein (1980), "Facts and Fears: Understanding Perceived Risks." "In Societal Risk Assessment, How Safe is Safe Enough?" R.C. Scharing and W.A. Alkers, Jr., eds. Plenum Press New York.
21. Doniger, D.D., (1978), "The Law and Policy of Toxic Substances Control", John Hoplcins University Press, Baltimore.
22. President's Commission for a National Agenda for the Eighties (1980). "A National Agenda for the Eighties, Chapter 3", U.S. Government Printing Office, Washington, D.C.
23. Doll, R., (1981) "Relevance for Epidemiology to Policies for the Prevention of Cancer", J. Occup. Medicine 23 (9) 601*609.
24. Manson, T.J., et aL (1975) "Atlas of Cancer Mortality for U.S. Counties: 1950-1969", DHEW Publication No. (NIH) 75-780.
25. Higgison, J., (1980), "Multiplicity of Factors Involved in Cancer Patterns and Trends. In Cancer and the Environment", H.B. Demopolous and M.A. Mehlman, eds., Pathatox Publications, Park Forest South, 111.
26. Crouch, E., and R. Wilson (1981), "Regulation of Carcinogens, Risk Analysis", 1 (1) 47-57.
27. Lava, L., (1981) "Estimating the Risk of Carcinogens", ibid, pps, 59-60, and D.G. Hoel, "Carcinogenic Risk", ibid, pps. 53*64.
28. Blair, E., (1981), "A Framework of Consideration for Setting Priorities for the Testing of Chemicals". Presented at the Workshop on Control of Existing Chemicals, Berlin, Germany, June 10-12.
29. Squire, R.A., (1981), "Human Risk Assessment From Animal Data", in American Chemical Society Symposium Series No. ISO, S.K. BandeL, G.J. Marso, L. Goldberg, and M.L. Leng, eds., Washington, D.C.
30. Squire, R.A., (1981), "Ranking Animal Carcinogens: A Proposed Regulatory Approach", Science 214.
31. Food and Safety Council (1980), "Proposed System for Food Safety Assessment", Washington, D.C., June.
32. Campbell, T.C., (1981), "A Decision Tree Approach to the Regulation Food Chemicals Associated With irreversible Toxicity, Regulatory, Toxicology and Pharmacology" 1, 193.
33. Park, C.P., and R.D. Snee (1983), "Quantitative Risk Assessment" State-of-the Art for Carcinogenesis", American Industrial Health Council, Washington, D.C.
34. Keyworth, G., (1961), "Priorities for Science", Chem. Eng. News 59 (42) 7.
35. Hoerger, F.D., and J.W. Conder (1981), "Deficiencies of Science and Policy in Generic Cancer Regulation" by the Occupational Safety and Health Administration, N. Y. Acod. Sci. 363 21.
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Fifth Circuit Court of Appeals Decision On Consumer Product Safety Commission (CPSC)
Urea Formaldehyde Foam Insulation (UFFI)
Introduction
As indicated in the editorial of this issue of the Toxic Substances Journal, Chief Judge Clark of the Fifth Circuit Court of Appeals in an April 7, 1983 decision has vacated the CPSC ban on UFFI.
Because this is an exceedingly important decision we have decided, with the kind permission of West Publishing Co., to reproduce the entire decision as a convenience for our readers since we know that this is an extremely imporant and potentially far reaching decision.
302
AP00055132
DUSTLESS PVC
EASES PROCESSING
ESCAMBIA PVC PEARLS
A radically new PVC Polymer with outstanding processing advantages
Reprinted from the June, 1058 issue of MODERN PLASTICS
Copyright. All rights reserved.
Breskin Publications Inc., 575 Madison Avenue, Neio York 22, N.Y.
ESCAMBIA CHEMICAL
CORPORATION 261 MADISON AVENUE NEW YORK 16. N. Y.
AP00055133
Plastics Engineering
Dr. James F. Carley, Engineering Editor
Dustless PVC eases processing
By Robert S. Holdsworth,' W. Mayo Smith/ and John T. Barr'
A new family of suspension-polymerized polyvinyl chloride resins is char acterized by unusually large and uniform spherical particles (diam. = 0.2 to 0.6 mm.) and by its freedom from dust. Plasticizer absorption and flow prop erties of dry blends are excellent, as is general processibility. Electrical, physical, and visual properties are at least as good as those of established resins, To make dry blends, the new polymers should be mixed with plas ticizer while cold, then warmed, reversing the traditional procedure. Four grades in different molecular-weight classes make possible a balance between certain physical and processing characteristics. These resins are processed in. conventional equipment.
newly developed process for the polymerization of vinyl chlo ride yields large, uniform poly mer particles that are completely free of dust The appearance of these particles suggested the name PVC Pearls.1 Four grades are commercially available: Types 2250, 2225, 2200 and 2185, repre senting high, medium, low, and
Reg. U. S. Pat Off. Tne original version of this article was
presented at the 14th Antec of the So ciety of Plastics Engineers, Detroit. Jan.
1958.
tEscambia Chemical Corp., Research Center. Wilton, Conn. 'PVC Pearls is a trademark ot Escambia Chemical Corp.
very low molecular weight re spectively.
Vinyl chloride is usually poly merized as either an emulsion or a suspension in water. In emulsion polymerization, rela tively large amounts of surfaceactive agents and catalysts are used. The resulting emulsion is then spray-dried or flocculated and very fine polymer particles are obtained. Most of the poly merization additives remain oc cluded to the polymer. The pres ence of these residual catalyst fragments and surfactants in the
finished polymer is not always deleterious. However, in applica tions which require superior color, clarity, heat resistance, and electrical properties these added materials cannot be tolerated.
Most suspension polymerization formulations yield resins which contain minimum amounts of ad ditives. In this process the amount of surface-active agents is very low, and the resulting polymeric product is obtained as a suspen sion which is separated from the water by filtration or centrifuga tion. Suspension polymer usually has a broad particle size distribu tion, ranging from dust-like par
ticles of only a few microns to large particles of several hundred microns. However, since there is little extraneous matter present, the color, clarity, heat resistance, and electrical properties are good.
En the production of polyvinyl chloride (PVC) by the suspen sion process, an attempt is fre quently made to produce a small particle size because this usually gives the best processing and physical properties. However, this
Fig. 1: Photomicrographs (40X) of PVC Pearls (left) and commercial PVC resin (right) before compound ing. Differences in shape and size distribution probably account for good processibility of Pearls
AP00055134
Table 1; Particle size: PVC Pearls and conventional vinyl resins
to a point below the fusion tem perature of the resin, to speed dis
Screen analysis % retained on
PVC Pearls Type 2250
Resin A
Resin B
tribution of the plasticizer into the resin particles. The result is a blend that feels dry to the touch.
20 mesh screen 40 mesh screen 80 mesh screen
00
21 0 79 26
0 An acceptable PVC resin
should absorb the required
1 amount of plasticizer and should
3 yield a dry blend on warming.
100 mesh screen 140 mesh screen 200 mesh screen Through 200 mesh
0 54 20 The blend should be dry enough
0
17
to flow through lines or be blown 47
through a conveying system with
0 3 20 out caking or otherwise interfer
0 0 9 ing with processing.
Bulk density, Ib./cu. ft.
Relative viscosity (1% in cyclohexanone @ 25 C.)
30.2 2.45
30.6 2.37
33-2 2.44
The heating time required to produce resin-plasticizer dry blends and the flow properties of these blends were studied. The
resin and plasticizer were blended
small particle size causes objec tionable dusting during handling and results in weight losses.
PVC Pearls are made by a rad
PVC Pearls actually have a rough, pitted surface. Thus, one would expect the effective surface area to be large, because of the
in a Hobart Mixer (model N-50). A steam jacket was built onto the bowl of this mixer and the temperature of the bowl was held at 100' C. during the test. The
ically different suspension poly
microscopic irregularity of the mixer speed was 140 r.p.m. The
merization that yields large parti cles. Partly because of this, the
particles. This expectation is con firmed by absorption studies.
dry-blend time is defined as the time required to produce a dry
Pearls have been found to proc ess more easily than the other suspension, resins. The physical properties of finished Pearl com pounds are equal or superior to
those of conventional resins. Dusting is eliminated while bulk
Plasticizer absorption
A great deal of the PVC resin produced is used in applications which require a flexible material. This flexibility is achieved by the incorporation of suitable plasti
resin-plasticizer mixture while the bowl is held at this tempera
ture. A comparison of the dry-blend
times of the PVC Pearl polymer with two commercial resins re ported to have outstanding dry-
density remains virtually the same as that of conventional
cizers. The resin and plasticizer may be pre-blended at room tem
blend qualities was made and is shown in Table II, below, and Fig.
resins. Screen analyses of a PVC Pearl polymer and two widely
perature and the mixture warmed
2, left. The PVC Pearl resin is
accepted commercial PVC resins
which were probably prepared by suspension are given in Table I,
Table II: Absorption, of dioctyl phthalate plasticizer by PVC resins
above. The Pearl particles appear to
the eye to be smooth, uniform
Resin
Ports DOP per hundred resin
Dry-up time
Dry blend flout rate
spheres, but photomicrographs (Fig. 1, p. 131) show that the
PVC Pearls
Unplasticized
min.
g./sec. 9.1
PVC Pearls
30
0 8.4
PVC Pearls
50
3 6,2
Fig. 2: Time required to make dry blends from different PVC resins. A and B could not take up 100 parts of DOP without getting sticky
PVC Pearls PVC Pearls PVC Pearls PVC Pcarb PVC Pearls
70 90 100 120 150
5 4.5 11 4.4 14 4.0 35 3J5 130 3.4
A Unplasticized
7.7
A 30
1 6.7
A 50
4 32
A 70
5 23
A 90
15 2.3
A
100
>100
Will not flow
B Unplasticized
5.0
B 30
5 Will not flow
B 50
5 Will not flow
OiOCTYL PHTHALATE. Portt/100 Rafin
B
100
>100
Will not flow
AP00055135
DIOCTYL PHTHALATE Par U/100 (twin
Fig. 3: Flow of resin par ticles through test funnel drops off as dioctyl phthal ate (DOP) content rises
about equivalent to the best com mercial resins in its ability to quickly absorb 50 parts of dioctyl phthalate (DOP) per 100 parts of polymer. However, only the Pearl polymer would absorb 100 parts of DOP and yield a dry blend in this test. The Pearls are, there fore, strongly recommended where high plasticizer levels are used.
For maximum processing econ omy, a resin should not only have good plasticizer absorption but the resulting dry blends must flow readily. The flow times of resinplasticizer blends through, a 60 stainless steel funnel having a Vzin. opening were measured. In Fig. 3, above, these flow rates of DOP-Pearl dry blends are shown to be high, even, at extremely high plasticizer levels. One of the conventional resins is seen, to flow fairly well at moderate DOP levels, but the other did not flow at all, even at the low DOP level. Only the Pearl polymer produces dry blends with high, consistent
Fig. 4: In extrusion of fiatstrip from, plasticized FVC Pearls, output falls as mo lecular weight rises
flow rates over a wide range of
DOP content.
Polymeric plasticizers are fre quently used in PVC compound ing. Pearl resins are particularly
recommended for applications in which appreciable quantities of these polymeric plasticizers are required. As shown in Table III, below, the polymer will absorb up
to 100 parts of Paraplex G-50, a commercial polyester plasticizer with a molecular weight of 2200. These data also show that the flow of the dry blend made from
this polymeric plasticizer and the Pearl resin was superior to that of the blend made with con ventional resin. The Pearl poly
mer imparts excellent flow even when 80 parts of this polyester pLasticizer are used. Dry blends with conventional resins fail to
flow at these pLasticizer levels. It is interesting to note that
dry blends made with PVC Pearls and the polyester plasticizer flowbetter at low plasticizer levels than those made with DOP. How ever, considerably more DOP than Paraplex G-50 can. be absorbed without complete loss of particle flowability.
The large uniform particle size
is probably responsible for these excellent flow properties of the Pearls, since there is no fine ma-
Table III: Absorption of polyester plasticizer by PVC resins
Resin
PVC Pearls PVC Pearls PVC Pearls PVC Pearls PVC Pearls
A A A A
Part* Paraplex G-50 per hundred resin.
Unplasticized 30 50 70 100
Unplasticized 30 50 70
Dry-up time min.
1 5 40 80
I S >50
Dry blend flow rate
g.fsec. 9.1 10.0 10.0 10.0
Will nod flow 7.7 7.7 7.7
WLU not flow
Table IV: Extrusion of PVC Pearls
Pearl resin
Relative viscosity (1% in cyclohexanone @ 25 C.)
Specific viscosity ASTil D 1243-54
Extrusion rafej, p.p.h.
Screw speed = 8 r.pjn. Screw speed -- 11 r.pm. Screw speed = 14 r.pjn. Screw speed -- 16 r.pm. Screw speed = 18 r.pm.
Extruder temperatures, F.
Zone 1 Zone 2 Zone 3 Zone 4 Gate Head Die
260 320 390 410
385 420 385
2350 2.45
0.42
2225 2.25
0.37
2200 2.03
0.31
16 20 24 24 27 38 31 38 48 39 44 52 44 51 65
Compound
Pearl resin Dioctyl phthalate Epoxy plasticizer Cadmium stabilizer Stearic acid
21S5 155
027
34 46 58 63 78
100.0 45.0 5.0 3.0 0.5
AP00055136
Table V: Physical properties of PVC Pearls
Type
2250
2225
2200
Relative viscosity
2.45
(1% in cyclohexanone @ 25* C.)
Specific viscosity ASTM D 1243-54
0.42
Tensile, p.s.i.
2900
100% modulus, ps.i.
2000
Elongation, %
315
Hardness, shore A
89
Tabor abrasion loss 2000 cycles, g.
0.130
Heat resistance min. to black @ ISO" C
90
2.25
0.37
2850 2000
290 90 0.145
75
2.03
0-31
2650 1900 280
87 0.150
60
Compound
Resin Dioctyi phthaiate Barium-cadmium stabilizer Epoxy stabilizer Stearic acid
100.0 425 25 1.0 0.5
2185 1.85
0.27
2400 1850
250 86 0.170
45
terial to pack between the large particles and especially since there is less contact surface be tween particles.
Extrusion of dry blonds
PVC Pearl compounds may be extruded with standard plastics extruders, without prior milling or intensive mixing.
It is well known that variations of the blending and extrusion conditions can strongly influence the quality of PVC products. A few of the most important con siderations are described in the material below.
As already noted, the Pearls absorb plasticizer readily, and if proper precautions are not taken when small to moderate amounts of plasticizer are used, uneven distribution may result. Dry blends prepared with conven tional PVC resins are frequently made by heating the resin and plasticizer before mixing. With the Pearl polymers, this tech nique tends to overplasticize the particles which are wet first and leave the remaining Pearl parti cles with practically little or no plasticizer.
Studies in a I.8-cu.-ft. ribbon blender have shown that more uniform plasticizer distribution is obtained by first mixing the Pearls and plasticizers at room temperature, and then by warm
ing them sufficiently to obtain a dry blend.
Dry blends prepared by both of these techniques were ex truded. The dry blend prepared by mixing preheated materials yielded a strip containing hard, unplasticized particles, while the cold-mixed, post-heated dry blend yielded a strip free of these imperfections. In later studies it was found that Pearl dry blends extrude best under conditions which resemble those used for the extrusion of granulated com pounds rather than conditions usually required for fine-powder dry blends. Extrusion rates up to 25% above those for normal dry blends have been obtained in production runs with the proper extruder conditions.
Table IV, p. 133, lists the con ditions of some extrusion-rate experiments, results of which are shown in Fig. 4, p. 133. The dry blends were extruded as strips IY4 in. wide by 1/16 In. thick from a 2.5-in. NRM extruder having a L/D of 20. Grades 2250, 2225, 2200, and 2185 were run. The plots of extrusion rate versus screw speed are best represented by straight lines for these resins and conditions. There was a sig nificant drop in output as.molec
ular weight rose. The resin hav ing the highest molecular weight gave the slowest extrusion rate
at a given screw speed. The color and clarity of the extruded tapes were good.
Calendering
PVC Pearl polymers were com pounded in an internal mixer and calendered into film using a four-roll, inverted-L, 8- by 16in. calender. This film was free of gel particles or "fisheyes" and again exhibited unusually good color and clarity. It was readily heat sealed with standard radiofrequency heat-sealing equip ment, giving seals that were stronger than the film.
Physical properties
Pearl poisoners of the four dif ferent molecular weights listed in the first paragraph of this article were compounded with 42.5 parts of DOP and stabilized with a harium-cadmium-epoxy system. The physical properties of these compounds are shown in Table V, above. As expected, the highmolecular-weight resin had the maximum tensile properties, abra sion resistance, and heat re sistance. These properties fell off as the molecular weight of the resin was reduced. In choosing a resin for a given use, one must remember that while better phys ical properties are obtained at high molecular weights, the lower-molecular-weight resins have better processing character istics. The availability of four molecular-weight grades enables the user to select the resin offer ing best balance of physical prop erties and processing economics.
Torsional stiffness of these compounds was measured over a
Fig. 5 i Molecular weight had no effect on stiffnessvs.-temperature character istic of Pearl resins, though DOP content was important
AP00055137
NSJLATkOM
Fig. 6: After about six
weeks, Insulation resistance of Pearl resin wire-cover ing seems to stabilize at about 65 times U/L mini mum requirements
Table Vis PVC electrical
insulation
PVC Pearls
100.0
DOP, electrical grade
52.0
Basic lead carbonate
10.0
Clay, pigment 33
7.0
Lead stearate
05
Compound extruded on #14 copper wire
Insulation resistance = 6.5 megohms --1000 ft.
Aged 24 weeks in water @ 50 C.
range of temperature, using the test developed by Clash and Berg (ASTM D 1043-51), with the re sults shown in Fig. 5, p. 136. Bach resin was run at two plasticizer levels--30 and 50 parts of DOP. At each level of plasticizer con tent, a single curve represented the behavior of all four resins.
Thus, while the plasticizer level has a significant effect, the molec ular weight of the resin, in the range that is reported here, does not materially affect the torsional stiffness.
Electrical insulation resistance
PVC resin is widely used as electrical insulation on wire. Good electrical insulation properties, wide color range, e<ise of pro duction, and low cost are several of the factors which make vinyls attractive.
, Hie suitability of a given PVC resin for electrical applications is best determined by preparing a compound and actually using it to insulate wire. The insulation re sistance is measured while the wire is immersed in water. It is
desirable to test over an extended period of time to account for such factors as aging, shrinkage, leach ing out of plasticizer, and water absorption.
The high molecular-weight Pearl polymer was compounded in an electrical stock as shown, in Table VI, left, and this com
pound was extruded on #14 copper wire at about 300 ft./min.
in a thickness of 1/32 inch. The wire was immersed in
water at 50 C., and the insulation resistance was measured over a period of 24 weeks. The results
of this test are shown in Fig. 6, left. The insulation resistance of Pearl compound levels off after about six weeks, indicating that the compound has good aging qualities. The equilibrium in sulation resistance of 6.5 megohm-kilo-feet is considerably above the Underwriters' Labora tories requirements of 0.1 meg ohm-kilo-feet.
The Pearl resin was evaluated by a large insulated wire manu facturer. Aging studies showed that the insulation compound re tained 94% of its original elonga tion after aging seven days at 113 C., while the retention of elongation of a good electrical grade commercial polyvinyl chlo ride resin was only 88% in the same test.
The acceptable insulating pro perties of compounds based on the Pearl polymer, together with the ease of extrusion directly from dry blends, suggest the use of this resin for electrical appli
cations, especially for jacketing
outdoor wiring and for building wire.
Rigid compounds
The PVC Pearl polymers are particularly well suited for rigid applications. A low-molecularweight polymer is usually pre ferred, since little or no plasti cizer can be used and optimum processing properties are re quired. The Iow-molecularweight polymer, Type 2200, was stabilized with 3% of dibutyl tir. mercaptide and milted on a 16-in-, differential-speed mill at 177 C. stock temperature. The compound was found to band quickly and a smooth, rolling bank was ob tained. The heat stability of the compound was outstanding as compared to that of commercial polymers (see Table VII, below). The physical properties were de termined and all the resins studied were found to be equiva lent to those of competitive resins of similar molecular weights.
The low-molecular-weight PVC Pearls are recommended, for rigid applications in which normal heat distortion temperature and impact strength are required with lowtemperature processing. good color, clarity, and heat resistance.
Acknowledgments
The authors are indebted to many of their fellow workers who helped produce the information here: A. Di Nardo, J. F. Gabbett, V. R. Pallas, J. R. Grant, N. T. Flathers, R. E. Johnson.--End
Table VII: Properties of PVC rigid compounds
PVC Pearls Type 2200
Resin. C
Resin D
Relative viscosity (1% in cyclohexanone @ 25 C.)
Milled @ 177* C. time to discolor, min.
Heat distortion temperature, C. fiber stress of 66 p.s,i.
Heat distortion temperature, C. fiber stress of 264 p.s.i.
Izod impact, ft.-lb./in. of notch
2.03 90 so 75
0.82
2.14 40 80 75 0.88
1.94 30
--
74 0.70
Compound
Resin Dibutyl tin mercaptide
100.0 3.0
AP00055138
REGULATORY TOXICOLOGY AND PHARMACOLOGY I, 264-276 ( 1981 )
The Use of Risk Assessment in Regulatory Decision Making: Time for a Review1
John T. Barr,*'2 Donald H. Hughes,! and Robert C. Barnard!
9Air Products and Chemicals. Inc.. P.0. Box 538. Allentown. Pennsylvania 18105; +The Procter and Gamble Company. Ivorydale Technical Center, Cincinnati. Ohio 45217: and XCleary. Gottlieb. Steen
and Hamilton, 1250 Connecticut Avenue, N.W., Washington, D. C. 20036
Received July 10, 1981
The Interagency Regulatory Liaison Group issued a draft report entitled "Scientific Bases for Identification of Potential Carcinogens and Estimation of Risks'" in 1979 for public com ment. This draft has been implemented as policy by several major federal regulatory agencies stultifying further progress in developing adequate scientific analysis of the data base for regulating carcinogens. Excessive reliance on value judgments by Agency staff has produced
a drive toward zero risk and perfect safety which has obscured from the regulatory decision maker the true extent of the risk which may be present. This paper presents the need for separation of the scientific and political steps in risk analysis, and provides suggestions for obtaining proper validation and interpretation ofscientific data. The need for clear presentation to the public of the assumptions used in risk analyses is emphasized, as is the necessity for greater participation by the scientific community in this process. To accomplish these objectives the IRLG report should be reevaluated and revised extensively to prepare a sound scientific foundation for the use by regulatory agencies.
INTRODUCTION
The Interagency Regulatory Liaison Group (IRLG) was formed by the heads of the Consumer Product Safety Commission (CPSC), the Environmental Protec tion Agency (EPA), the Food and Drug Administration (FDA), and the Occu pational Safety and Health Administration (OSHA) in 1977 to increase the co operation between these agencies in their efforts to regulate loxic and hazardous substances, and to improve the effectiveness of their programs (1). The Food Safety and Quality Service (FSQS) joined the group in January 1979 (2). One result of this cooperative effort was the simultaneous publication (3) in July 1979 in the Journal ofthe National Cancer Institute and the Federal Register of a draft report entitled "Scientific Bases for Identification of Potential Carcinogens and Estimation of Risk: Request for Comment on Report." The Federal Register notice stated that
1 Contribution from the Scientific Committee of the American Industrial Health Council. 1 To whom correspondence should be addressed.
0273-2300/8 L/030264-13S02.00/0
Copyrtjhl 6 1961 by Academic Preu. [oc. All righli of reproduction in any form reserved.
264
USE OF RISK ASSESSMENT
265
"(a)fter reviewing comments received, the four agencies anticipate publishing a statement giving notice of whatever revisions to the document are appropriate, if
any." Unfortunately, the "phasing out" of the working group on risk assessment was announced by IRLG Chairman Allen Heim at the end of May 1979. No
provision was made for the evaluation of public comment on the IRLG Report. Chairman Heim stated that risk, assessment would be undertaken directly by senior officials from the five participating agencies (4). Thus, other than a discussion of, and an expansion on, some of the philosophies contained in this document by one of the participants in its preparation (5, 6) no further action has been taken by the
IRLG on this document since its original publication. The FSQS announced re cently (7) that it was seeking a contractor to review the comments which have been received, but the proposal request now has been withdrawn.
The Report discussed the evaluation and application of evidence for carcino genicity of substances, and described methodologies for estimation of risk to humans from that evidence. Even while public comments were being received, the Report was adopted (8) by the Regulatory Council, a larger group of regulatory agencies, and the policy position was presented again for comment and possible revision. That had the effect of broadening the influence of the draft Report greatly among
government agencies. The rationalization of current Agency policies on a multi agency basis had the effect of suppressing individual Agency initiatives in scientific evaluation and risk assessment. The policies announced as drafts became in practice the governing force in Agency decision making.
Application of the policy espoused in the IRLG document since its publication has had the appearance of unevenness. Although its representatives sat on the drafting committee, OSHA did not claim authorship of the IRLG draft paper in
its publication in the Federal Register, because of possible legal implications for the generic cancer regulation which then was in development. OSHA, however,
was cited as an author when the IRLG Report was published in the Journal of the National Cancer Institute (3). While OSHA has not officially embraced the
policy of the IRLG Report, the OSHA generic cancer regulation reflected the major science policy rationalizations in the IRLG Report (13). OSHA, however, imposed more administrative political constraints on scientific risk evaluation than did the IRLG Report. CPSC (9) and the EPA (10) have stated publicly that they rely on the policy for guidance for their regulatory decisions. It also has received
considerable publicity elsewhere (11) in the governmental circles, and thus must be looked on as an influential document.
The American Industrial Health Council (AIHC), along with many others, sub mitted extensive comments to both IRLG and the Regulatory Council in 1979, suggesting that numerous revisions were necessary to assure that the best current science was utilized in the scientific evaluation of all the available evidence, and that an independent science panel would be the most effective method to assure this. Vice President Bush, as chairman of the Task Force on Regulatory Relief, has asked that regulations or policies which result in overregulation be identified for reevaluation. In a letter to the Task Force, AIHC has called for a review of the policy embodied in the IRLG Report (12). The IRLG Report must be revised before it is suitable for adoption as an official policy. It is essential that there be a coherent federal policy for the proper utilization of science in regulatory decision making, Revision, therefore, should consider both the comments which were sub-
AP00055140
266
BARR. HUGHES. AND BARNARD
mitted in 1979 and the comments by the independent scientific community reflect ing the advances in this area which have occurred since that time,
The remainder of this discussion wiU deal with how best to assure that these goals are achieved, and is based on the comments made to IRLG and the Regulatory Council by the AIHC in 1979, and on recent developments.
THE CURRENT STATUS OF RISK ASSESSMENT IN REGULATORY AGENCIES
Interest in the use of risk assessment, both qualitative and quantitative, in reg ulatory decision-making processes has increased rapidly in recent years. It is an underlying feature in the nuclear energy field. The Food and Drug Administration (FDA) is considering (14) a procedure for allowing trivial residual concentration of potentially harmful substances in foods and drugs. The Consumer Product Safety Commission (CPSC) has used various methodologies in its decisions and published recently (9) a description of how it "uses quantified cost-benefit analyses as one of many tools in regulatory decision-making." The Occupational Safety and Health Administration (OSHA) promulgated (13) a policy on workplace exposure to po tential carcinogens which deliberately excluded the use of quantitative risk as sessment from its consideration of the degree of abatement to be required, but
recently revised (15) its policy to include a risk assessment as the result of a
Supreme Court decision on its benzene standard holding that OSHA must make a threshold finding of "significant" risk at present conditions as a prerequisite to regulatory action on a substance. Additional amendments which would have es tablished a policy to "eliminate significant risk" have been withdrawn (16) for reconsideration of the entire policy. Thus, although no regulations reflecting this reconsideration have yet been published, it seems clear that some effort at quan titation will be made by OSHA in its rule making on carcinogens.
The Environmental Protection Agency (EPA) has published (17) its policy on risk assessment procedures, and has used that methodology to estimate risks at various levels of environmental exposure for several substances (18-20). Require ments for a cost-benefit analysis of major rules by executive branch agencies were imposed by Executive Order 12291 (21), which calls for the potential benefits and the potential costs to be described for the proposed rule and for alternative ap proaches. Bills calling for similar requirements for all federal agencies have been introduced into both houses of Congress (22, 23). These actions wiU place much greater demands on the agencies to develop methods for the risk assessments which wiU be necessary before appropriate cost-benefit analyses can be made.
A general theme which has run through most of the regulatory process up to this time is based on the conclusion that currently it is impossible to demonstrate the existence of a threshold or no-effect level of exposure to chronic health hazards so it must be assumed that there is some risk at any exposure (13,17). Both OSHA and EPA have gone further to require in most cases, at least before the recent Supreme Court Benzene decision, that all exposures must then be reduced at least to the lowest limit of technical feasibility (10, 13). Further, they base their quan titative risk assessments on what they describe as "prudent and conservative as sumptions" (15,17). The usual route for arriving at the final estimate is to employ
AP00055141
USE OF RISK ASSESSMENT
267
a no-threshold linear-through-zero extrapolation (or an extrapolation model which has the same effect at low doses) from an animal bioassay on the most sensitive species, and taking the upper 95% confidence limit of the result, which is then extrapolated as the basis for evaluating the risks of human exposure (24). Additional adjustments sometimes are made for an assumed greater responsiveness in humans because of the larger surface area or other physical differences, which results usually in lower calculated allowable exposures (25).
This -"conservative" model assumes that all possible combinations of dose and length of exposure are equivalent when calculated as total dose. That oversimpli fication is not justified for all types of carcinogens, because it assumes that me tabolism and repair mechanisms are not affected by dose levels, as will be discussed
later. It also assumes that humans have the same sensitivity as the most sensitive test species used, another unwarranted conclusion.
There is some indication that the agencies realize the excessive conservatism of this approach. For example, the EPA recently stated that when oncogenic risks to workers exposed to arsenic were "estimated by standard Agency techniques--the
Agency believes that the model tends to overstate the actual risk in this case because of adjustments and assumptions made to handle uncertainty in a conservative man
ner" (26). The Agency expressed the same "caveats" for the other substances included in this rule making.
A much sounder expression of the regulatory significance of the risk overstate ment by "conservatism" is set out in FDA's reasons for permitting the continued use of lead in hair dyes. The FDA replied (27) to those who expressed concern that the published risk assessment would predict the death of one person per million users by stating that these were "worst case estimates." It went on to say that
"(u)pper limit estimates by risk using `worst case' assumptions cannot be used to predict with mathematical precision what will actually occur. Yet, because risk
estimates take into account the risk resulting from incomplete information, extreme assumptions of overuse, abuse, and overapplications, etc., (hence, `worst case es timates'), are factored in to reach a conclusion with reasonable certainty of what
will not occur."
One cause for confusion in the minds of the public has been the use by the agencies of these "conservative" risk calculations in rule making. The result is that estimates often are presented as a single figure with no discussion of the conser vatism which biased the calculations, the uncertainties involved, or of the probable limits of the calculated figure. Despite the development of many possible mathe matical models for use in risk assessment, no coordinated effort has been disclosed by regulatory bodies in which an attempt was made to test or apply these models in situations where they could be evaluated properly as to their biological validity. This has led to an unevaluated drift in the direction of "prudent" conservatism, which has been accelerated by the application of these conservative assumptions early in the scientific and mathematical evaluations of experimental results. The outcome has been an estimate in which the final decision maker cannot differentiate between facts and assumptions in the scientific evaluations. When the public has understood this situation, for example, in the case of saccharin, there has developed a significant lack of confidence in the entire risk assessment process. A critical discussion of the various mathematical models available today is beyond the scope of this paper. The Food Safety Council has compared four of the most frequently
AP00055142
268
BARR, HUGHES. AND BARNARD
used models for several substances and provided a helpful discussion of the probable applicability and shortcomings of each (28). Interested persons are referred to that report for more details. These models can be useful in estimating human risk under specified conditions when they are utilized in light of their biological significance.
The mathematical expression cannot necessarily be used to predict the mechanism by which a substance acts as a carcinogen, but the model must at least be compatible
with that mechanism. In the midst of the difficulties described above the IRLG began to develop a
summary of recommended practices for use by regulatory agencies in the identi fication of potential carcinogens and the estimation of risks from exposure to these substances. The draft report which resulted (3) does contain discussion of the criteria for some facets of the evaluation program, but it is incomplete, and so biased against distinguishing between trivial and significant risks that it must be revised extensively to make it compatible with the state of the art in this field as it is now developing.
RISK CONTROL
Effective control of risk from potential health hazards consists of three phases. The first is identification of the hazard, sometimes called qualitative risk assessment. The second is estimation of the risk for humans under some expected route of exposure, or quantitative risk assessment. The third is risk management, which involves the decisions concerning the extent to which the perceived risk should be abated and the methods to be used in doing so.
The first two of these phases are, or should be, scientific decisions involving evaluation of the relevance and validity of data and methodologies, including math ematical modeling, for quantifying the risk to man. The last phase is a socio economic decision which generally requires utilization of concepts outside the sci entific arena. It is a political decision, in the broader and nonpejorative sense of that term. This decision is one which must be made by the management of a company which faces a potential hazard to its workers, customers, or neighbors, or by the administrative level in regulatory agencies, on whom society has placed the responsibility for protecting the public (29, 30).
A major fault in the current regulatory process has been the intermingling of these three phases of risk identification and management. The final decision maker is faced with an evaluation labeled scientific which often is so clouded by a mixture of science and politics that the administrator is unable to exercise his assigned responsibilities of deciding whether the risk is trivial and should be forgotten or whether the risk is significant and should be regulated. For example, members of the EPA scientific staff have stated that they "lean over in the direction of giving weight to evidence of carcinogenicity" (31) in a deliberate effort to influence the policymakers to regulate whenever there is any evidence, no matter how slight, of a possible chronic hazard. In face of such an evaluation the regulator is driven toward regulation because the evaluation deliberately disregarded the distinction between a trivial and significant risks. In that situation the regulator cannot make a rational identification of regulatory alternatives or a sound evaluation of these possible alternatives.
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Qualitative Risk Assessment
Qualitative risk assessment, the recognition of a potential hazard, requires that some conclusion be drawn from existing data on the likelihood for risk to humans from exposure to a substance. Actual human experience often is lacking, or is too imprecise to allow a firm conclusion to be drawn from it. Therefore, there is a growing reliance on the results from tests on animals, usually rodents, or on bacteria or other lower species of life. The regulatory philosophy in the IRLG Report is that any positive indication of hazard from these tests must be taken as a signal for the need f(5r regulation of human exposure. The very large number of substances in our industrial and social environment, the uncertainties related to human rele vance, and the lime and limited resources for testing on higher species all are cited as the reasons for immediate response to a positive signal, negative results from other tests or data notwithstanding. This is the first of several conservative as sumptions which result in a drive toward zero risk and the impossible goal of perfect safety (32, 33).
Screening tests. The effect of the policy set forth in the IRLG Report is that tests designed as screening tests for use in the decision as to the need for further study have been converted instead into accepted bases for regulatory action. The National Cancer Institute often has stated that its standard bioassay test using the maximum tolerated dose and one other level is "meant to screen chemicals for cancer-causing potential, not to predict the frequency at which cancer will appear in human populations" (34). The EPA currently is evaluating the Phase I results of its GENE-TOX program for validation of the many short-term screening tests for mutagenicity and carcinogenicity (35). The general conclusion that can be drawn from the statements by both of these groups is that neither of these screening programs is appropriate for direct application to human exposures at this time. The
preliminary data from bioassays and short-term tests should not be used except possibly in an initial screening program to compare potencies or determine priorities for further studies. Certainly, all tests must be validated before their results are used in any quantitative fashion.
Validity of data. Proper application of the results of either short-term tests or animal bioassays requires consideration of many factors, among them the quality of the test procedure used, its validity for the application under consideration, the ability to replicate the results in other species or other laboratories, the expected route of exposure, and, certainly, the biological significance of the results. Inter species metabolic differences must be considered as well. The policy of the IRLG Report, as interpreted by the agencies, unfortunately leads to undue reliance on these preliminary data. EPA's Cancer Assessment Group uses both NCI bioassay results and short-term test results directly in its carcinogenic risk assessments, without proper regard for the factors listed above.
Negative results. Due weight must be given to negative results, including negative human epidemiology studies, which often can be used to establish upper bounds of potential risk, and thus to assist in the ordering of priorities of suspect substances to assure that those which pose the greatest potential risk receive attention first. Failure to accept valid negative results is another "conservative" push in the search for zero.
Synergism. Additive, or multiplicative, effects are recognized for cigarette smok-
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ing and exposure lo asbestos and alcohol, and perhaps radiation in miners. Other examples are not conclusive that the additive effect extends to all other combi
nations of biological insults. In fact, there are many examples where a substance exhibits a protective or inhibitory effect on tumor development, or on extending the life of the exposed groups (36, 37). Thus, there must be adequate consideration of the mechanism of the carcinogenic action in order to evaluate any possible synergistic effect.
Benign tumors. Still another conservative assumption is the determination that the induction or enhancement of benign tumors, or of types of tumors to which the test species has been bred to be particularly susceptible, is an indication of hazard in humans. There are sound pathological reasons why tumors arc differentiated as benign or malignant (38).
Animal tests, ft is recognized that random variations in colonies with a high spontaneous incidence of certain tumors make the recognition of significant re sponses very difficult. Genetic drift within colonies is another confounding factor, making the use of historical or external controls difficult (39). It is therefore nec essary that careful scientific scrutiny be applied to any consideration of the relevance of animal data to human hazards.
Quantitative Risk Assessment
Quantitative risk assessment usually is an even more difficult task than the identification of potential hazard because of the problems in translating animal data into human risks. There is not, at this time, any appropriate general model for quantitative extrapolation between animals and humans (28, 38). In those few cases where extensive comparisons have been made of the mechanism of carci nogenesis in both groups, the available data suggest strongly that there are several classes of carcinogens, some of which may not have no-effect levels, and some of which may well have and thus will require different extrapolation models. It is becoming increasingly clear that not only is "cancer" a large family of diseases, containing a hundred or more specific types, but the causes of cancer also fall into several categories, which require different regulatory approaches that are based on different scientific descriptions of the underlying causal mechanism.
Some of the classes into which carcinogens are recognized (40) to fall include: --complete, or direct acting carcinogens;
--procarcinogens, which require metabolic activation in the host;
--systemic carcinogens, which stimulate or suppress natural hormonal or immune systems and thus alter natural processes sufficiently to allow tumors to develop;
--bionutrients, which are themselves essential to life, but which in excess may be carcinogenic;
--cocarcinogens, which require the presence of other substances for action; --promoters, which accelerate the activity of other types of carcinogens; --solid-state carcinogens, which in the proper state of subdivision, produce tu mors at the location in the host; --physical agents, which damage cells and stimulate rapid proliferation of growth which may exceed the regulatory processes of the host; --virus-induced carcinogenic response.
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It is most improbable that all of these mechanisms can be described properly by the same mathematical model. It is equally improbable that none of them have some level below which the stimulus is insufficient to prevent detoxification or regulation by the host. For example, in the case of those procarcinogens which
require metabolic activation, there are not only differing routes and rates of me tabolism in various species at various dose levels, but there are competing deac
tivation and excretion processes. Similarly, for physical agents, there are recognized dosages below which the cell damage does not occur.
Choice ofmodels. Often the mechanism by which a particular substance operates is unknown at the time of concern for its carcinogenicity is first raised. Even if adequate data are avialable to determine a dose-response curve which fits a certain model, there is no assurance that this model will predict the mechanism by which the substance acts in humans, and more detailed studies usually are necessary to determine the classification into which the substance falls. For the same reason, it is improper to assume for regulatory purposes that the lincar-through-zero model is appropriate in all cases. It may well be a useful model for establishing priorities for further studies, but the results of such an exercise should not be used to prescribe control levels, or even to determine which substance from a list of candidates should be regulated. Careful scientific evaluation will show, wc believe, that it is useful, at best, as a preliminary screening guide without biological validation for the sub stance under test. Until such time as we are able to specify one mathematical mode! as the appropriate for a particular substance of type of tumor, the preliminary risk estimates should be made with several models in an effort to determine which one best represents the facts for that particular case.
Time lo tumor. Recent advances in computer technology have made it possible to perform much more detailed analyses of animal data. A Committee of the Society of Toxicology (SOT) undertook a detailed review of the enormous "ED0|" study of chemical carcinogenesis in mice (41) as induced by 2-acetylaminofluorene (AAF). The results were presented at the 1981 Annual Meeting of the SOT in San Diego on March 5 (42). A summary of the findings of the committee which was released at that time stated:
The major implications of these conclusions are:
(1) Our analysis of their data does not support their conclusion of a lack of a threshold effect. A linear interpretation is not supported by either the revised bladder data or. if an adjustment is made for time on study, by the original (and validated) liver data.
(2) The ED,,, study shows that a realistic risk assessment for AAF should include a com ponent of time to have biological meaning. When this is done the tumor-free period as a function of dose has a slope that is indistinguishable from zero over a considerable region including the lowest dose used in Dat study.
The time to tumor data obtained from the ED9t study interjects a third dimension of over whelming importance into the evaluation of carcinogen dose and tumor development relation ships, Time is no longer a nuisance parameter that need merely be adjusted for, but rather time can be directly incorporated into the very definition of risk assessment. This leads to a new generation of risk assessment methodology that incorporates the dose, the response, and the time to tumor data.
The IRLG Report will continue, until it is properly reevaluated, to restrict sci entific evaluation to the use of methods which were adopted in the past because
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of conservative or nonscientific considerations. A reevaluation of the report should permit new concepts to be used as they become available. Some method or methods of extrapolation must be chosen for evaluation of risks beyond the available data range, but the choice of extrapolation model must be made only after careful consideration of all relevant biological factors. Many of these arc the same factors which are considered for the qualitative estimation, but in addition, pharmacoki netics and the level, route, and extent of exposure are also important.
Potency. The potency of carcinogens is known to vary by many orders of mag nitude in both test animals and humans, and evaluation of potential risk requires
allowance for this factor. In particular, the question must be faced of when a risk becomes significant enough to warrant control beyond that available through cur rent regulations. The scientist must assist the regulator in the efficient allocation of resources by providing information on relative risk comparisons with other po tential candidates and the risks encountered in everyday life. Certainly, there are risks for which the perceived benefits are adequate for public acceptance, such as in the case of saccharin, and for which further control other than adequate warning
is unnecessary. Presentation of results. The numerical results of risk estimation should be pre
sented as a most probable value under specified conditions of expected exposure, including both time and extent, and the range which this value may have under
specified statistical limits. Both upper and lower confidence limits should be re ported, as should all assumptions or value judgements which were used in reaching the final range. The regulator then has the necessary information evaluating the significance of the risk and for choosing the appropriate levels of controls and abatement methods. The Office of Science and Technology Policy has presented a detailed discussion of why this is a necessary and proper procedure in the reg ulatory process (43), emphasizing "the importance of well-organized scientific in quiry, objective review of evidence regarding carcinogenicity, and detailed char acterization of potential risk to humans" as the essential preliminary step before regulatory decisions can be made.
Application of results. In making regulatory choices, the regulator can use risk assessment in various ways. One of these is, as mentioned above, comparative risk assessment, which can be a valuable tool for helping the public develop a proper perspective on a proposed rule. A comparison of the estimated risks from the substance under consideration with the other risks involved in everyday life, both voluntary or involuntary, will aid in evaluating both the need for a regulation and the degree of regulation which is necessary to control unreasonable risks.
Another application is for cost-effectiveness analyses, which often is a more appropriate procedure to use in evaluating a proposed regulation than is a costbenefit analysis. A cost-effectiveness analysis will provide the public with infor mation on the incremental cost and benefits of alternative degrees of protection and regulatory severity, thus allowing the choice of that course of action which provides the desired degree of protection at the lowest cost to society. In many cases this will eliminate the need to monetize the various hazards which are being abated, and allow a direct comparison of the desirability of each segment of the rule.
Peer review. An underlying requirement for each of these steps is that the data
base be sound, and that the best possible scientific judgment be exercised in its evaluation. It has been recognized by the AIHC and others that it will be necessary
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to involve a broad spectrum of scientific expertise in this effort in order to assure that a sound scientific judgment is made. To this end, a proposal has been made by the AIHC for an independent science panel which would, within the context of a national chronic health hazards policy, serve all of the regulatory agencies in the evaluation of the scientific data relating to chronic health hazards (44), and would eliminate the need for policy decisions constraining science, as proposed by the IRLG.
It would be difficult to overemphasize the need for adequate data verification and peer review in all phases of the risk assessment procedure. Beginning with the initial study which first raises the questions of a potential hazard, through to the actual risk estimate calculations, all steps in this process should be conducted with
not only opportunity for comment by the public, but also with a deliberate effort to obtain adequate review by acknowledged experts in the relevant fields. The IRLG
Task Force not only failed to recognize the importance of peer review in the data evaluation process, but also failed to utilize it in the preparation of their report
(45). The greater the uncertainty regarding the facts or the concept involved, the greater is the need for careful scrutiny by qualified persons. It would seem that the concept of an independent science panel for interagency review of the scientific issues is the most effective means of accomplishing this result. It is vital that alt steps be based on a sound and current scientific foundation to provide government
agencies with a solid basis for deciding what control is necessary to provide adequate and reasonable protection. This will also assist in the separation of the scientific
and regulatory functions. When the final decision makers are assured that they have the best scientific data which are available, they will be better equipped to perform the necessary socioeconomic judgment for which they have the responsi bility, and can feel assured that their actions are based on a reasonable and sound foundation. The EPA Science Advisory Board Subcommittee on Airborne Carcin
ogens recognized this need, and urged that the IRLG Document be reviewed by independent scientists (31). This same group disputed its value as a scientific
guideline. Public participation. In addition, the public will have a much better understand
ing of the degree of protection which it is being given, the costs of that protection, and a clearer concept of the processes by which the decision was reached. A properly informed public is the best protection against potential hazards in the environment, and public participation must be encouraged at all stages of the regulatory process.
Public awareness of and concern for the role of science in cost-benefit analysis has increased tremendously in recent months. Several journals and professional societies dedicated primarily to the subject of risk analysis have been started in the
past few months. A recent literature review in Toxic Substances Journal (46) contained several hundred articles, most of them published in the last few years. Particularly illustrative of the public interest are the many perceptive responses (47) to a recent article in Regulation (48) dealing with the ethical and economic features of cost-benefit analyses, of which risk assessment is a vital part. These correspondents emphasize that society is better served by an informed and consid ered scientific judgment than by the application of personal value judgments.
It is reasonable to expect that risk assessment can be developed into a much more precise and reliable tool than it now is. One step in that development will be to obtain experience in its use, thus pointing out more clearly the areas where
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improvement is needed. Unrealistic expectations should not be raised for this pro cedure until adequate means have been developed for providing the necessary data base for its application. Wc must, for example, produce validated experimental data more suitable for use in making quantitative assessments. And, at the same time, more research effort should be put into understanding the mechanisms of carcinogenesis, developing the methods for interspecies comparison and for more effective human epidemiology, and better bioassay protocol design and analysis. These are key areas, and require much more development.
Finally, it will be necessary for the scientific community to accept its responsi bility as especially well-informed and capable citizens to participate in the regu latory processes as both critics and contributors. There are many uncertainties which never can be eliminated before a decision must be made to regulate or not, or if so, to what degree. The quantitative risk assessment often is a distillation of many of these uncertainties, but there remains the need to view the whole of the data. Only when the regulator can feel secure in the validity of the data can appropriate risk management decisions be made. It is, therefore, vital that those best able to participate in the evaluation process do so freely and willingly.
SUMMARY
Every regulation is the result of a decision by someone that the results will be worthy of the effort. The need is for a sound process by which such decisions are made. Therefore, it is necessary that we develop a coherent federal policy for the control of chronic health hazards. The current level of public interest and our rapidly developing analytical ability will force many decisions on the regulatory bodies which cannot be made in an effective manner without an adequate frame work on which to base those decisions. Thus, a true interagency approach is nec essary. This approach must assure the decision makers that the best scientific knowledge has been utilized in developing the data base from which action is taken. All available data must be evaluated carefully for significance. An independent scientific panel appears to be the most effective means of assuring this thorough scrutiny.
The current status of the IRLG draft Report as an informally adopted policy of the regulatory agencies blocks the application of sound science by these agencies in their activities for controlling substances which are potential chronic health hazards. The regulatory policies in this area should be reconsidered carefully, and a necessary step in this reconsideration is a revision of the IRLG draft Report. The AlHC has called for this reconsideration in a letter to the President's Task Force on Regulatory Relief, and has stated its willingness (12) to assist the IRLG in that effort. The process should begin immediately.
ACKNOWLEDGMENTS
Grateful acknowledgement for assistance is due to the members of the AICH Science Committee, and especially to those who participated in the preparation of the original comments to the IRLG and the Regulatory Council in 1979.
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REFERENCES
1. Environmental Protection Agency (1977). Regulation of toxjc and hazardous substances. Fed. Reg.
42, 54856-54857. Oct. II.
2. Interagency Regulatory Liaison Group (1979). Supplementary agreement. Fed. Reg. 44, 34648. June 15.
3. Consumer Product Safety Commission. Environmental Protection Agency. Food and Drug Admin istration, Food Safety and Quality Service (1979). Scientific bases for identification of potential carcinogens and estimation of risks: Requests far comments on report. Fed. Reg. 44, 3985939879. July 6; and J. Nat. Cancer Inst. 63, 241-268.
4. Risk Assessment Work Group phased out of 1RLG Program (1979). Toxic Mater. News 6, May 23.
5. Saffiotti, U. (1980). Identification and definition of chemical carcinogens. Review of criteria and research needs. J. Toxicol Environ. Health 6, 1029-1057.
6. Saffiotti, U. (1980). The problem of extrapolating from observed carcinogenic effects to estimates of risk for exposed populations. J. Toxicol. Environ. Health 6, 1309-1326.
7. Department of Agriculture (1981). Inquiry USDA/FSQS RFP-FSQS-I9-W-8I. Reported in Toxic Mater. News 8, (7). 54. Feb. 18; and Food Chem. News 23, (10), 9, May 18.
8. Regulatory Council (1979). Statement on regulation of chemical carcinogens: Policy and request for public comment. Fed. Reg. 44, 60038-60049. Oct. 17.
9. Consumer Product Safety Commission (1980). Proposed Methodology for Commission Findings under Section 9(c) of the Consumer Product Safety Act. Fed. Reg. 45, 85772-85777, Dec. 30.
10. Environmental Protection Agency (1979). National emission standards for identifying assessing and regulating airborne substances posing a risk of cancer. Fed. Reg. 44, 58642-58670. Oct. 10.
11. Toxic Substances Strategy Committee (1980). Toxic Chemicals and Public Protection. A Report
to the President, Chap. VII. Superintendent of Documents. U. S. Gov. Printing Office, Wash ington. D. C,, May.
12. Lang, R. A. (1981). Letter to the Honorable George Bush, Chairman of the Task Force on Reg
ulatory Relief, May I. 13. Occupational Sefety and Health Administration (1980). identification, classification and regulation
of potential occupational carcinogens. Fed. Reg. 45, 5002-5296, January 22, as corrected at p. ] 5527, March 11, and pp. 43403-43407, June 27. 14. Food and Drug Administration (1979). Chemical Compounds in food-producing animals. Fed. Reg. 44, 17070-17114, Mar. 20. 15. Occupational Safety and Health Administration (1981). Identification, classification and regulation of potential occupational carcinogens: Conforming deletions. Fed. Reg. 46, 4889-4893, Jan. 19. 16. Occupational Safely and Health Administration (1931). Identification, classification and regulation
of potential occupational carcinogens: Withdrawal of proposed amendment. Fed. Reg. 46, 19000, Mar. 27. 17. Environmental Protection Agency (1979). Water Quality Criteria, Appendix C. Fed. Reg. 44,
15926-15980. Mar. 15. 18. Environmental Protection Agency (1980). Water Quality Criteria Documents: Availability. Fed.
Reg. 45, 79318-79379, Nov. 28. 19. Environmental Protection Agency (1980). Benzene emissions from maleic anhydride plants. Fed.
Reg. 45, 26660-26684, Apr. 18; Benzene emissions from ethyl benzene/styrene plants, Fed. Reg.
45, 83448-83463, Dec. 18: Benzene emissions from benzene storage vessels, Fed. Reg. 45, 8395283967, Dec. 19; Benzene fugitive emissions. Fed. Reg. 46, pages 1165-- i 193, Jan. 5. 20. Environmental Protection Agency (1981). Incinerator standards for owners and operators of haz ardous waste management facilities. Fed. Reg. 46, 7666-7690, Jan. 23. 21. Reagan, R. (1981). Federal Regulation. Executive Order 12291. Fed. Reg. 46, 13193--13198, Feb.
19.
22. Danielson. G. E. (1981). The Regulatory Procedure Act of 1981, H. R. 746. 97th Congress. 23. Laxalt. P. (1981). Regulatory Reform Act, S. 1080. 97th Congress. Draft bill introduced
May 4. 24. Gaylor, D. W,, and Kodell, R. L. (1980). Linear interpolation algorithm for low dose risk
assessment of toxic substances. J. Environ. Pathol. Toxicol. 4, 305-312. 25. Rall. D. P. (1977). Species differences in carcinogenesis in testing. In Origins of Human Cancer
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(H. H. Hiatt. J. D. Watson, and J. A. Winsten, eds.), pp. 1383-1390. Cold Spring Harbor Laboratory. Cold Spring Harbor N. Y. 26. Environmental Protection Agency (1981). Creosote, pentachlorophenol.and the inorganic arsenicals; Preliminary notice of determination concluding the rebuttable presumption against registration of the wood preservative uses of pesticide products: Notice of availability of position document
2/3. Fed. Reg- 46, 13020-13036, Feb. 19. 27. Food and Drug Administration (1981). Removal of stay of regulation for the listing of lead acetate
as a color additive in cosmetics that color the hair on the scafp. Fed. Reg. 46, 15500-15504, Mar. 6. 28. Food Safety Council (1980). Proposed system for food safety assessment- Final Report of the Scientific Committee, Washington, D. C., Jure. 29. American Industrial Health Council, Inc. (1980). AIHC Proposal for a Science Panel. Mar. 26. 30. President's Commission for a National Agenda for the Eighties (1980). A National Agenda for the Eighties, Chap. 5. Superintendent of Documents, U. S. Govt. Printing Office, Washington. D. C. 31. Environmental Protection Agency Science Advisory Board, Subcommittee on Airborne Carcinogens
(1980). Transcript of Meeting, Sept. 4-5, Washington, D. C., pp. 23, 147, and 157-159 of Sept. 5 meeting. 32. BazELON, D. L. (1980). The judiciary: What role in health improvement's. Address before the Annual Meeting of the Institute of Medicine, Washington, D. C-, October 15. Occup. Health Safety Lett.. October 22, pp. 3-5.
33. Miller, S. A. (1981). The search for zero. Torre Subst. J. 2, (4), 254-263. 34. National Cancer Institute (1978). Report an Carcinogenesis Bioassay of1,2-Dibromoethane (EDB)
(Bethesda, Md., Nov. 14), p. 9, and other bioassay reports.
35. Waters. M. D.. and AULETTA A. (1981). TheGENE-TOX Program: Genetic activity evaluation. J. Chem. Inf. Comput. Sci. 21, (1), 35-38.
36. WatTENBERG, L. W. (1978). Inhibition of chemical carcinogenesis. J. Nat. Cancer [nst. 60,11-18. 37. PETO, R.. et at. (1981). Can dietary beta carotene materially reduce human cancer rates? Nature
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Carcinogenic Risk of Chemicals to Humans, preamble to Vol. 24. WHO, Lyon, Sept. 39. Grasso. P,, and Hardy, J. (1975). Strain Difference in Natural Incidence and Response to
Carcinogens. In Mouse Hepatic Neoplasia (W. H. Butler and P. M. Newberne, eds.). Elsevier, Amsterdam. 40. DemOPOULas, H. B., and MEMLMAN, M- A. (edr.) (1980). Cancer and the Environment. Pathotox, Pub., Park Forest South, 111. 41. Staffa, i. A., and MehlmaN. M. A. (eds.) (1979). Innovations in Cancer Risk Assessment (ED0l)
Siudy. Pathotox Pub., Park Forest South. III. 42. Society of Toxicology (1981). Symposium: A review of the EDoi study. Annual Meeting, San Diego,
Calif.. March 5. Fundam. Appl. Toxicol., in press. 43. Office of Science and Technology Policy (1979). Identification, characterization and control of
potential human carcinogens: A framework for federal decision-making. Executive Office of the President, Feb. U and J. Nat. Cancer Inst. 64, (1), 169-176 (1980). 44. American Industrial Health Council (1980). AIHC Proposal for a Science Panel, Mar. 26. 45. cPConnor. C. A. (1980). The Interagency Regulatory Liason Group and chemical carcinogenesis. Toxic Subst. J. (2), 165-174. 46. KREWSKl, D., ANO Brown, C. (1981). Carcinogenic risk assessment: A guide to the literature. Toxic Subst. J. 3, (l), 84-104.
47. Regulation (1981). Defending cost-benefit analyses, replies to Steven Kelman. Regulation 5, (2). 39-44, Mar./Apr.
48. Kelman, S. (1981). Cost-benefit analysis--An ethical critique. Regulation 5, (1), 33-40, Jan./ Feb.
,, -f 1
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EMISSld^(gpNTROL:
Stripping VCM from PVC Resins
Here's a progress report on a stripping technique that can be used in the pro duction of resins by the suspension process.
tG. J. Mantel!, J. T. Barr, ond R. K. S. Chan,vAir Products & Chemicals, Inc., Allentown, Pa.
Vinyl chloride monomer (VCM) can be stripped from polyvinyl chloride (PVC) resins in aqueous slurries and from dry powder resins. This article reports on the steps that can be used for this purpose in producing resin by
the suspension process. Our work is continuing, and
many conclusions presented here are preliminary. A simplified How diagram for a typical suspension
plant is shown in Figure 1. VCM and initiator are dis persed in water b*' means of agitation and suspending
agents, and then polymerized at an appropriate tempera ture to give the desired resin molecular weight. The reaction cycle is terminated when the rate becomes un economical to maintain, or earlier if enhanced porosity is desired. Conversion is normally between 83 and 90.
Most of the umeacted monomer is recovered and recy cled to the process, but the last few tenths of a percent
historically have been left in the slurry because they art difficult to remove. It is this residual monomer that if
5-4 -Scpf-smt^r l f'r'S
CHEMICAL ENGINEERING PROGRESS (Vo!.71,N ?
AP00055152
of Temperaturos. Prfssur# and VCM in fcenn w*th Tm#.
of time during plant stripping.
* ' . *>v -*^-1
now of primary concern. Monomer is usually recovered by vacuum stripping of
tbe reaction slurry, either in the polymerization reactor or is a special stripping vessel. The monomer so obtained
Is compressed and condensed for refuse. After stripping, tbe polymer slurry is transferred to
open equipment, and any remaining free monomer even tually enters the environment. Tbe amount and location of this release depends on the amount of residual mono mer, the physical nature of the polymer particles, and processing conditions to which the resin is exposed.
Blends of several batches of polymer are mixed in slurry tanka and pumped to centrifuges for partial de watering. Drying is done in either cocurrent rotary kiln driers or fluid bed driers. Dried resin is collected and conveyed pneumatically to storage or packaging. Resin
may be transferred several times and stored for a few days to a few weeks before it finally reaches the fabrica tor and is blended with necessary additives and processed into finished goods. During each of these stages there is further loss of monomer, dependent upon time, tempera ture, partial pressure of monomer over the resin, and properties of resin particles.
Monomer losses during manufacture and stripping
Figure 2 shows a typical curve relating lasses of mono mer in resins, water, and vapor phases as a function of time during a plant stripping operation. Slurry tempera ture during this run was 170'F. (77*C.) and pressure was 8 Ib./sq.in.abs. The data in Figure 2 were obtained from a plant slurry batch of a Type B resin (described in Table 1) taken to about 85% conversion and transferred to an evacuated stripper. During transfer, the pressure in the stripper rose to about 40 lb./sq.in.gauge in about
* *
Table-1* PVC hamopelymarand copolymar resin types used in this study.
Resin
> . ,; Composition ----
- Description-
IPTU* Range
% Accessible Porosity**
Inherent Vlsceeity , . dl./gm.-Ji
A .......................PVC.
' ... ...General Purpose *
...19^-21 ___ 10-1?
- tow- Porosity S ___ _________ PVC...................... ...General Purpose
....... 26-28 ....... 17-18
1
Medium Porosity c .......................PVC......._............ ...Specialty NPericelhfor__ -..30-12 ..---- 25-26
1 lD
E-l
Membrane High Porosity
.... --
... -- ..
-- ....... T6--20 ...
22
E-2 ....... Propylene Copolymer........
--
...16-20 ...
...0.46-0JOX ...0.70-0.76-
`Irreversible plasticizer take up (IPTU) by Method in Corleton andMischucfc. (J) **By mercury porodmeter according to Chon and Beale. (2)
; ih 3i `Jr i
CHEMICAL ENGINEERING PROGRESS (Vol. 71. No. 9)
September 1975 55
AP00055153
ture on VCM lessen Type 8 resin.
- Figure 5. Laboratory vs. plant slurry stripping of Type B resin and tempera ture effects.
two minutes. With the pump capacity and steam input
available, a period of approximately 15 min. was re
quited to reach specified temperature and vacuum. Un
der these conditions, about 50 parts/million o monomer
remains in this medium porosity resin at the end of one
hour total resident time in the stripper.
Table 2 lists the processing steps and approximate
average losses of VCM at each step. VCM concentra
tions are relatively high compared with data obtained
under improved operating conditions. Our data show that
the greatest absolute loss of monomer downstream of the
stripper occurs in the blending step. A further 60% loss is
also shown in the drying step; with a more porous resin,
this can be as high as 80%. Losses at each step vary with
conditions. In the example shown, only 5% of the mono
mer present in resin after stripping remained when
tested at the customer's plant.
Three consecutive stages in the stripping process
have been defined.
'j.
Figure 3 and Table 3 show changes in monomer con
tent, pressure, and temperature that occur in these stages
when a batch of 6lurry is dropped from a reactor into an
evacuated stripper.
As noted earlier, there is a very rapid increase in pres
sure, generally to about 40 lb./sq.in.gauge in the first few
minutes, followed by a slower fall to the operating pres sure. Operating temperature is reached at about the same
time. This is defined as Stage I and generally results in
a monomer reduction from approximately 13% in the
solid to about 2 to 4% depending upon conditions of the
drop. About 80 to 85% of unreacted VCM is removed
here. In Stage II residual monomer has dropped to about
500 parts/million. Stage III is where residual monomer
is below 500 parts/million and where rates of VCM re
moval are at their lowest values. Table 3 summarises
approximate monomer losses during the three stripping'
stages.
f
Monomer stripping studies covered in this paper geo-
Table 2. Approximate monomer losses after stripping in manufacture of resin Type A.
. VCM Content
End Step,
Percent
Process Step
parts/million
Loss in Step
leaving Stripper... ............. 2,000............ Slrry Blending .... ............. 800............
_
Centrifuging.......... .............. 720............ ........... 10
Drying..................... .
............60 40
Shipping..................
........... 50
' Table 3. Losses of monomer in three stages! of stripping of batch from slurry of
I 10,000 lb. monomer charge.* .... .Stages tl Ilf
VCM (parts/million) in Resin: -
Initial................. .180,000...... ..30,000...... .......500
Final................... . 30,000...... .. 500...... Pounds lost**.......... . 1,275...... . 251......
1
4
Approximate conversion - 85%. **Approximate weight ratios of monomer in vapor, liquid
and solid phases are 1: TOOtlOOO during stripping. ,,
56 September 1975
CHEMICAL ENGINEERING PROGRESS (Vo!.71,N-^
AP00055154
`rally begin at Stage II. About 15% of unreacted mono mer is removed in this stage.
Within limits of agitation ranges normally available, the degree of agitation did not effect stripping rate. We must assume, therefore, that turnover rates in the slurry
're adequate to produce optimum stripping in our plaint jUipment.
Other factors, however, do have influence on the strip ping process. Batches that have been polymerised passed the optimum cut-off point result in lowered resin porosity and slower stripping. In addition, slurry batches which have been cooled in the reactor for scheduling reasons not only require longer time for heating to stripping temperatures, but also appear to give slower stripping rates.
One generalization discussed later is that low molecu lar-weight resins polymerized at higher temperatures are generally less porous and require longer stripping times than higher molecular-weight resins manufactured with similar recipes at lower temperature.
How the experimental work was carried out
Resins, equipment, and the experimental procedures used in this work are described below.
Resins. Five resin types used in this study. Table 1. Resins A and B are general purpose resins made in rec ipes which contain a conventional colloid stabilizer.' Resin C, produced in laboratory or plant reactors in the absence of the conventional polymeric colloid stabilizer,
does not contain a pericellular membrane. Resin C is measurably more porous than A and B, and the primary particle structure can be easily identified using a scan ning electron microscope. Other resin3 listed in Table 1 are copolymer resins containing either vinyl acetate or pro pylene.
Laboratory studies. Resins A, B, and C, used in the laboratory stripping experiments, were prepared in a 3-1/4 gat reactor using commercial recipes. Resin slur ries after polymerization were cooled, vented, and Btored in 1 gat, wide-mouth, glass jars. Aliquot portions were taken at intervals over a period of weeks. No significant losses of monomer occurred in the Bolid phase during this period.
Table 4. Temperatures of slurry and vapor for resin Type B in plant stripping study
Sampling Point*
Time, Min.
High Temperature Run
Slurry Temp.
Vapor Temp.
'F. F.
Low Temperature Rue
Slurry Temp. 'F.
VaperTemp-J cF* ...=*1
.............. 136............ ................. 136.............. .............. 132....................______130 --i .............. 170............ ..... ,...........170________ ...........152............. .......... 150 `1 ____ ___ 168............ ..................172.............. .............. 15T............. . .......... 152 A
________ 168............ ..................172.............. ............... 150................... ...........154 H .............170............ ..................172............................. 150................... .......... 156 i
*$ee Figure 4.
BlSMICAL ENGINEERING PROGRESS (Vol. 7KN0.9)
September 1975
57
Figure 8. Effect of porosity on VCM re* movai in plant stripping.
Laboratory stripping was conducted in a one-liter, three-necked, glass flask fitted with a Friedrichs con denser. Stirring was supplied by a magnetic stir bar. The slurry mixture from the master batch and added water were mixed, heated rapidly by immersion into a pre heated 5 gat. oil bath. The overall water/resin ratio was approximately 2:1. Compressed nitrogen at 5 lb./sq.m, or steam at atmospheric pressure were used in sparging experiments. The water/polymer mixture was sampled before stripping to determine VCM content in resin. At completion of each stripping experiment, a second sam ple was removed to determine VCM content of resin and in some cases, resin porosity.
Plant studies. A 10,000 gal. stripper, equipped with vacuum and high pressure steam, was used in plant strip ping. It was fitted with an agitator just above the steam inlet port near the bottom of the stripper. The procedure for dropping t he charge from reactor to stripper was de scribed earlier. Initial samples for analysis at zero time were taken when the pressure rise in the stripper
TMPERATUA, C
Figure 9. Laboratory stripping of resin Types A, B, and C at atmospheric pres sure (VCM: 43,900, 47,000, and 23,400 parts/miiiion, respectively), stripping time 15 min.
had reached its maximum value before failing. Analytical samples were removed using a "sampler"
of special design located at the bottom of the stripping vessels. This attachment allowed separate collection of slurry and water phases under conditions where no mono mer losses occurred.
Analytical procedures. Analysis for VCM in PVC solid was conducted using a solution of the resin in tetrahydrofuran and a gas chromatograph. Impurities in the solvent were removed previously by a passage through a column of basic alumina with or without acitvated car bon. Gas chromatographs were fitted with flame ioniza tion detectors and used nitrogen or helium as carrier gas. Column packing was either Porapak Q or Chromasorb W.
Concentrations of monomer in solid and liquid phases
Table S. Temperatures of slurry and vapor far resin Types A and B in plant stripping.*
Somplrng Point*
Time, Min.
Slurry Temperature, *F.
Resin A
' Resin B
Vapor Temperature, *F.
Resin A
Resin 8
1...................
............... 133......... ....................... 136................
................ 136
2............. .
............... 167......... ....................... 170................ ............... 170............... ...............170
3.................... .............. 30............. ............... 167......... ............. $....... 168................ ............... 172............... .
...172
4................... .............. 45............ ...............170.......... .......................168.............. ............... 174................. .............. 172
5...................
............... 170......... . .
170
175
172
6................... .............. 75............. ............... 170.........
............... 175.................
7................................... 100.............. ............... 170.........
............... 175.................................--
*See Figure 8.
CHEMICAL ENGINEERING PROGRESSi''ol.7i.No-?l[
AP00055156
rVCM ~2mim im ]_)_J J J. U<-J-A~L iu. L.
FLUX VCM' oC (CONDUCTANCE) (DRIVING FORCE)
: ^ ( 'S KSt_) (Cs XL \
SL.
(FtU
Figure 10, Effect of
resin porosity on residual VCM.
are expressed in parts/million by weight. Concentrations in the gaa phase are expressed in mole fraction.
Variables which affect stripping process
The stripping operation is the most effective and safest step for removal ofunreacted VCM from PVC resin. The following reports on laboratory and manufacturing plant work designed to establish important process variables and their quantitative effects.
Time, temperature, and pressure. As noted earlier. Figure 2, there is a loss of monomer at a continually decreasing rate with time during a typical plant strip ping operating during Stages II and III. Time is an im portant variable; and under any given set of conditions, the more extended the stripping the lower is the residual monomer in resin and aqueous phases. In the following ections, primary emphasis is given to removal of mono mer from the solid resin phase.
Figure 4 is a semi-log plot of residual monomer in a Type B resin as a function of time at two temperatures in a plant stripping study. Slurry and vapor tempera tures for the two runs appear in Table 4. From these data, a 20*F, (Il'C.) increase in slurry temperature produced an increase in rate of removal in Stage II of pproximately two times at the 2,000 to 3,000 parts/ million VCM level and an increase of three times at 200 *nd 300 parts/million in Stage III.
Laboratory scouting experiments were carried out with the medium porosity resin Type B to determine influ ence of temperature on stripping rate in Stages II and "I- The master batch slurry contained about 35,000 Pnrts/ million in polymer solids.
Figure 5 is a semi-log plot of data obtained in the te[nperature range of 50 to 77*C. (122 to 170*F.). In a 15
LV
\KL} f*t
\
pvo\
,,v> *,
Ht.V- / '. ..r:^
Figure IK Model for slurry stripping..;'1 C,, XLI Pyca are concentrations or partial
pressure of VCM. KtVf Kft are mas^ transfer coefficients. HLY, Hn are Henry -1 Law constants. As, At are areas at S/t- ' and L/V interfaces.
minute stripping period, an increase of 25*C. (45*F.)
decreases residual VCM in the resin by almost two orders of magnitude. Note that at a temperature of approxi mately 170*F. (77*C.), residual monomer content in this medium was about 200 parts/ million after 15 minutes of vacuum stripping.
Temperature has a profound effect on removal of VCM in Stages II and III. For comparison, plant data for a Type B resin are also plotted in Figure 5. At 77*C-, rates of VCM removal from the two systems are fairly close.
Tabi* 6. Effect of particle porosity on residual level of VCM in resins stripped in .
laboratory ot 100aC., atmospheric pressure, 15 min.
A B c;
Porosity, IPTU* ......... 20........ 26.....'.
VCM (parts/million) m Resin
Initially
....... .43,900 ........47,000 ........23,400
After stripping......... 450 ........ 60........ 15
% Original VCM
remaining ........... 1.05...... 0.13......... 0.06
irreversible plasticizer take-up procedure (7).
CHEMICAL ENGINEERING PROGRESS (Vol. 71, No. 9)
September 1975
59
}
AP00055157
Figure 12. Stripping of
VCM from dry PVC resins.
Figure 13. Stripping VCM from solid resin Type -1 resin (VCM: 305 parts/ million).
considering significant differences in procedures, equip ment, and times to reach stripping temperature.
Advantages found in use of
vacuum and steam
Influences of stripping pressure and steam sparging in laboratory stripping studies are shown in Figure 6. Percentage monomer losses from resin is plotted as a
function of temperature at a fixed stripping time of 15
minutes. There is a distinct advantage in using vacuum
and a further advantage for vacuum plus steam as op posed to operating at atmospheric pressure.
Remarkable increases in rate of VCM removal are noted at approximately 203*F- (95"C.) under atmo spheric stripping conditions and at approximately 158'F. (70*C.) in vacuum stripping with steam. We associate these rate increases with the onset of "pseudo-boiling'or nucleation of a high liquid/vapor interface. The
Table 7. Influence of stripping temperature and pressure on particle porosity in \ laboratory stripping studies Type B resin.
Resin*
\
Stripping Conditions,
15 min.
in. Hg.
Temp.'C.
Vacuum
Resin VCM Content After Stripping
IPTU***
Control....................................-- . J.................................. -- ...............................................45.000**..............................................26
a...................................... 50.................................... Atm..........................................18,900 .......................................... 24
b................................. . 60.................. .................Atm.......... t............................ 14,000 .......................................... 27
c...................................... 75.................................... Atm........................................... 4,700
d...................................... 100.............................
Atm...............................
40
e...................................... 53.................................... 14 .................,...................... 7,400 .......................................... 2?
f...................................... 62.................................... 14 ................. .\..................... 4,100 .......................................... 30
g...................................... 68.................................... 14
1,000
h............. ..................
77............................. 14
100
Resin in oil experiments filtered by suction and dried at 40*C. (104'F.) in o vacuum oven. Original VCM content of master batch slurry. Irreversible plasticizer take up (7)
29 28
30 31
6.0 September 1975
CHEMICAL ENGINEERING PROGRESS {Vol. 71, I*0-9'
AP00055158
nportance ot' this interface to promote rapid stripping . discussed below. Surface area for evaporation. Type B resin was
poed under atmospheric conditions in laboratory ipment using nitrogen sparging to determine influence
t a gaseous phase in slurry stripping. Figure 7 shows 'nat a nitrogen sweep slightly above the surface is withuC effect. The accelerating effect of nitrogen sparging
oto the liquid is temperature-dependent and is greater is stripping temperature is increased. Apparently the iquid-vapor barrier for VCM removal under these labo-
-3to:^' conditions becomes more important as the rate of emoval from the solid phase is accelerated.
Particle structure. Particle micro-9txucture has an im portant influence on rate of VCM removal during stripoiQE. Figure 8 is a graphical plot of VCM removal from general purpose non-porous resin A and general purpose nedium porosity resin B in plant strippers. Table 5 sum marizes slurry and vapor temperature data for these two
runs. Data show that the more porous resin B loses mono mer at a rate of about 1.5 to 1.8 times faster than resin A
at VCM levels between 200 and 2,000 parts/million.
Laboratory studies established influence of resio po rosity on stripping rates under atmospheric conditions. Figure 9 and Table 6 summarize results using master batch slurries containing resins Type Ar B, and C stripped at temperatures between 60*C. (140*F.) and 100'C. (212*F.) for 15 minutes. We noted an abrupt in crease m rate at a temperature close to but measurably below the boiling point of water.
Figure 10 is a plot relating resin porosities of A, B, and C to residual VCM content after 15 coin, of stripping at IQO'C. For purpose of comparison, data from resins Type A and B plant runs, Figure 8, are plotted also in Figure 10. Response of stripping rate to resin porosity is remarkably similar in these laboratory and plant strip-
ngs. An increase of one unit of irreversible plasticizer -ke up (IPTU) in the range of resin porosity measured, increases stripping rate by about 15% in Stage III.
An unexpected effect on resio porosity was produced by rapid stripping in Stages II and III in laboratory work. Table 7 summarizes stripping: conditions and re sultant particle porosities as measured by the procedure afCarlecon and Mishuck (2). Rapid removal of monomer from a PVC slurry containing 4.5% residual VCM in Type B resin markedly increased plasticizer absorption bom a value of about 26 to values as high as 31. This phenomenon may be related to the process of producing "bloner" resins where liquid vinyl chloride monomer is removed from resin at low conversion forming a highly porous structure, sometimes referred to as the "pcp. rom" effect.
| Mathematical modal found useful
\ A model for removal of VCM from a PVC particle ; suspended in an aqueous medium in contact with a vapor
{phase is shown in Figure 11. From this model, equations
relating rates of removal from the three phases as a hinccion of operating variables and polymer properties *ere developed. The model assumes that there are four barriers for removal of monomer from a suspended parti-
in an aqueous medium. There are two boundary lay* above and below the solid/liquld and liquid/vapor interfaces. Among these, the vapor side boundary layer *bove the liquid/vapor interface is believed to be of no
^rtat importance and for practical purposes can be dis carded.
Calculations using a correlation from Brian, et
*-3) show convincingly that the liquid side boundary
| Ch*EM!CAL ENGINEERING PROGRESS (Vol. 71, No. 9)
resistance at the solid/liquid interface is also negligible. This leaves two boundary layers as important: one on the solid side of the solid/liquid interface and one at the liquid side of the liquid/vapor interface.
PVC particles have a micro-porous structure, as dis cussed in the literature (7, 4, 5, 6). Particle diameters in our model relate to primary particles or aggregates of them shown in Figure 11 rather than the diameter of the
particle measured by typical screen analysis. Concentrations of VCM in solid, liquid, and vapor
phases are expressed in terms of concentration or VCM
partial pressure. Their relationships during a typical scripping operation are shown in Figure 2 for a particular stripping experiment. These are expressed in the model
as Cs, XL, and Pvcm. respectively. Mass transfer coef ficients of VCM at the barriers for the remaining two important boundary layers are given as Kst and Kiy. Tbe model envisions a driving force that is measured as a deviation of VCM concentration from equilibrium in two adjacent phases. It Unnecessary, therefore, to mea sure Henry's Law constants for solutions of VCM at equilibrium in tbe liquid, solid, and vapor phases.
From a consideration of the model, mass balance equa tions relating rates of losses in solid, liquid, and vapor phases, have been formulated in terms of mass transfer coefficients, pumping capacity, stripper dimensions, the amount of slurry charged, and the vapor pressure of wa ter at tbe temperature of stripping. We are currently in the process of determining the mass transfer coefficients by a computer assisted curve fitting procedure.
In addition, we are determining Henry's Law constants
and MLy at a variety of temperatures. Experimental values obtained for a Stage HI slurry at 170*F. (77`C.) are as fallows:
Far solid/ liquid interface:
Hsr - & = 0.O8
For vapor/liquid interface:
HLV
VCM
-
(1.00
0.05)
X
ii dyne-cm.
10
g. mole
0.024 0.001 lb./sq.m./ppm.
This liquid/vapor Henry's Law constant is nearly identical with the value obtained using Berens's VCM water solubility data (6) and a vapor pressure of 10,200
Table 8. Influence of temperature in plant drying of Type A Resin.
Inlet Air Temperature,
*F.
VCM Residual
in Resin
Drier Inlet**
Drier Exit**
% VCM Remaining
280........... .... 850.... ......200....
260........... .... 850.... ......350....
220...........
......500....
*Rotory drier with copocity of 5,500 Ib./hr; residence time 15 min.; air exit temperature approximately 150'F.
*'Averoge of several samples.
September 1975 61
mm.Hg. at 76'C.; HLV - 9.71 x 101U dyne-cm./g. mole. The soiid/liquid constant is somewhat lower than the 76*C. value calculated from Beren's liquid vapor and solid/vapor data, using the relation, H5L - HSV/HLV\
hsl * o.io.
Monomer is stripped from solid resins too
WheD freshly manufactured PVC resins are "stripped" in a small fluid bed type drier, rates of monomer removal in general resemble rates obtained on monomer slurry stripping. Figure 12 is a plot of residual monomer con tent obtained with resin Type B and resin Type E-2 as a function of time in fluid bed stripping. Percentage losses from both resins were essentially identical over a 24 hr. period. Under these conditions, approximately 50% of contained residual monomer was removed in 2 to 3 hr.
at115*F. Very rapid removal of residual monomer from resins
is achieved by mixing in an intensive mixer under vac uum at temperatures between 130* and 200`F. (55* and 93*C.). Figure 13 is a plot of residual monomer content of a propylene copolymer resin Type E-l at various tem peratures for 9 minutes in an intensive mixer. At ap proximately 170*F. (76*C.), 50% of the original monomer
content was removed and at200*F. it was 90^. Extensive studies, in our laboratories, and in others as
well, show that in typical compounding operations of this type rapid and nearly complete monomer removal can be achieved at high temperatures with no resin discoloration and no loss of thermal stability.
Influence of drying temperature in a commercial ro tary drier in manufacture of Type A resin is summarised in Table 9. As expected, increasing the air inlet tempera ture in the range of 220 to 280'F. (105* to 138*C.) bad a marked effect on the residual monomer content
Results
Reduction of monomer content in both aqueous and powder stripping work, Figures 2 and 12, show continuing rate losses with time. The curves are similar to those re ported by Berens (7) for PVC powders at 90*C. He inter preted reduced monomer losses with time to arise from a lowering of monomer diffusion rates inside particles as monomer content is reduced and in later stages to the presence of glassy particles. Since our glassy particle contents were in the range of0% to 2%, we do not believe that glassy particles played a dominant role in our work.
We note no discontinuity in Figure 13 for VCM loss in the region of the second order transition temperature of PVC, 160* to 175`F. Hopfenberg and Stannett report a number of examples where, no discontinuities in diffu sion coefficients were noted,in the region of the glass transition temperature far a number of polymers and a number of penetrating gases (&).
Rate controlling processes for VCM in Stages I, II and III of aqueous slurry stripping'appear to differ. In Stage I, extremely large amounts of monomer are lost in very short periods of time. It is likely that this process occurs . by direct formation of bubbles at the solid , liquid inter face which move directly to the slurry liquid/vapor inter face. Stage II rates are influenced markedly by tempera ture, by boiling or nitrogen sparging and by resin porosity.
Present work on our model will establish quantita
tively the relative importance of the two important bar riers atthe solid/Jiquid and Jiquid/vapor interfaces. Our work suggests that both are playing a role. It is clear, however, that a boiling or rapid degassing condition in Stage II is necessary to promote optimum rate of VCM
removal. We associate increases tn monomer remove rates in atmospheric stripping at 90* to 95'C. in Figure* and 9 with the start of bubble nucleation. Stage Ijj stripping rates appear to be more dependent upon ui* solid/liquid interface and on diffusion rales inside re^particles.
The very rapid losses of VCM in Stage I, and rapitj increases in rates at about 90*C. in atmospheric strip, ping, suggests that pseudo-boiling or degassing occurs below the normal boiling point of water. How bubbles form and how they are influenced by primary particle diameter, pore size, and pore distribution remain to be established.
Acknowledgment
We wish to express our appreciation to the many peo
ple in the Analytical Dept, of Air Products and Chemi
cals, Inc., and to many members of the industry who
have so generously contributed their knowledge toward
the solution of a problem affecting the health and
safety of our employees and theirs. It is in this saar
spirit that we have elected to share our preliminary find
ings with others in this progress report. We are continuing
our work and will report additional findings as they be
come available.
-
f
Literature cited
(1M4V1. CarletM), L. T., and E. Mishurk, J. AppL Polymer SeiaAra. 8, 1.225-1.241
2. Chid. fl. K.S.. and 1. Beal*. Polymer J., 3 |S| 690-697 (1972).
3 Brisn, P. L. 7.. H. B. Hiln, ind T. K. Sberwooi.AlChE J.. 15 (Si T2T-7XJ
(1969).
4. Class, J. E. and J. W. Field*. J. Appl Poiymrr Sriene*. IB, 2.269 0972'. 5. R.. and A. Baansmayr*. Htuur Ptailtom Modeme*. J3 171 3 i 1S"11.
6. Reran*. A. R., ACS Potyner Reprint*, IB til. 197 (19741. 7. Berrn*. A. R.. ACSPotymtr Rtpnnu, 19 (21. 2031)97).
8. Haprcnbarg, H. H . and V. StanscR. "Phviic* af Glauy Polymfrt." Oup. 9
R, x. H*w*rd. ad.. JaKn Wilay 4 Son*, New York (19731.
G. J. Mantel! did groduote work ir> <bein>cal engineering at McGill ond Oueen'i Univs.. Canada, and earned his Ph.D. in roraonic chemistry from New York Um*. For th* post eight years he hos been w,N Air Products and Chemicols, Inc., where he H now director of research ond developmentI for the Plastics Div, of the Chemical G'Ot/p.l
J. T. Botr received his bochelo*') the*"istry from Arkonsos College, hn moster'i from the (Jniv, of Arkansas ond *0) do"* ** post-grodvote work ot Temple Um* o"d Murray State College. He is prea^''r lfch-l
nical manager, Manufacturing Cnamicok
. Group, Air Products and Chemical) Inc.
w WmBm
R. K. S. Chan earned hrs 8.5 E hm
Cheng Kong llniv, in To*won, on ; n 0
physical chemistry from bolh me vt'* V'*'1
of New York at Syracuse, and Syrocu*
Ur*iv. Chon hos been an instrut'o' o* phf1
icol chemistry of Chung Ch> College M001
Kong, ond hos been o pov'
re
seorch associate at the Urn* s'
His reseorch octivilies ><-.<iPa oolym*
choraclerizotion, kinetics of homo- ond co-polyme-uo'-o", n
the application of solid mechanics and rheology to 1
*
polymers.
62 September 1975
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