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Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

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SRA 2013 Annual Meeting <strong>Abstracts</strong><br />

T2-K.3 Holman, E*; Francis, R; Gray, G; U.S. Environmental<br />

Protection Agency (author 1), George Washington University<br />

(authors 1-3); eholman@gwmail.gwu.edu<br />

Comparing Science Policy Choices in Chemical <strong>Risk</strong><br />

Assessments Across Organizations<br />

Environmental and public health organizations including the<br />

World Health Organization (WHO) and the U.S. Environmental<br />

Protection Agency (USEPA) develop human health risk values<br />

(HHRV) that set ‘safe’ levels of exposure to non-carcinogens.<br />

This analysis evaluates specific science policy choices made in<br />

the context of setting HHRV and differences in these decisions<br />

observed across organizations. These choices include the<br />

selection of principal study, critical effect, the point of<br />

departure (POD) approach and numerical estimate, and the use<br />

of uncertainty factors (UF). By systematically evaluating each<br />

choice while recognizing connections among choices, the goal<br />

is to elucidate the most common sources of agreement and<br />

disagreement across organizations. In setting the UF,<br />

organizations typically use default 10X values, reduced values<br />

(often 3X), or chemical-specific adjustment factors. A common<br />

reason <strong>for</strong> using a reduced UF with a LOAEL POD is that the<br />

observed critical effect is considered minimally adverse. If<br />

chronic studies indicate that subchronic POD are more<br />

sensitive, a full 10X UF may not be required <strong>for</strong> a subchronic<br />

principal study. While older assessments often use default<br />

values, the use of PBPK modeling and human study data is<br />

becoming increasingly common, resulting in reduced UFs to<br />

account <strong>for</strong> interspecies and intraspecies extrapolations. To<br />

account <strong>for</strong> database deficiencies, organizations may invoke a<br />

database UF <strong>for</strong> concerns such as the lack of a specific study<br />

type or potential carcinogenicity. This analysis also examines<br />

cases where given the same or similar toxicological data, one or<br />

more organizations set an HHRV but other organizations do<br />

not. Included in the analysis are HHRV from the following<br />

organizations: USEPA, WHO, Health Canada, RIVM<br />

(Netherlands), and the U.S. Agency <strong>for</strong> Toxic Substances and<br />

Disease Registry. (The opinions are those of the authors and do<br />

not necessarily reflect policies of USEPA or the U.S.<br />

government.)<br />

P.126 Holser, RA; Russell Research Center;<br />

Ronald.Holser@ars.usda.gov<br />

Microbial contamination in poultry chillers estimated by<br />

Monte Carlo simulations<br />

The risk of contamination exists in meat processing facilities<br />

where bacteria that are normally associated with the animal are<br />

transferred to the product. If the product is not stored, handled,<br />

or cooked properly the results range from mild food poisoning<br />

to potential life threatening health conditions. One strategy to<br />

manage risk during production is the practice of Hazard<br />

<strong>Analysis</strong> and Critical Control Points (HACCP). In keeping with<br />

the principles of HACCP a key processing step to control<br />

bacterial growth occurs at the chiller. The risk of microbial<br />

contamination during poultry processing is influenced by the<br />

operating characteristics of the chiller. The per<strong>for</strong>mance of air<br />

chillers and immersion chillers were compared in terms of<br />

pre-chill and post-chill contamination using Monte Carlo<br />

simulations. Three parameters were used to model the<br />

cross-contamination that occurs during chiller operation. The<br />

model used one parameter to estimate the likelihood of contact<br />

and a second parameter to estimate the likelihood of<br />

contamination resulting from that contact. A third parameter<br />

was included to represent the influence of antimicrobial<br />

treatments to reduce bacterial populations. Results were<br />

calculated <strong>for</strong> 30%, 50%, and 80% levels of contamination in<br />

pre-chill carcasses. Air chilling showed increased risk of<br />

contamination in post-chill carcasses. Immersion chilling with<br />

50 mg/L chlorine or 5% trisodium phosphate added to the<br />

chiller water as antimicrobial treatments reduced<br />

contamination to negligible levels in post-chill carcasses.<br />

Simulations of combination air/immersion chiller systems<br />

showed reductions of microbial contamination but not to the<br />

extent of immersion chillers. This is attributed to the reduced<br />

exposure time to antimicrobial treatments. These results show<br />

the relation between chiller operation and the potential to<br />

mitigate risk of microbial contamination during poultry<br />

processing.<br />

T2-B.1 Honeycutt, ME*; Haney, JT; State Government;<br />

michael.honeycutt@tceq.texas.gov<br />

IRIS improvements: meeting the needs of Texas<br />

With a large land area, population, and concentration of<br />

industry, Texas has a need <strong>for</strong> scientifically-defensible and<br />

meaningful Toxicity Values (TV; e.g. RfD, RfC, Cancer Slope<br />

Factors) to prioritize scarce resources. Relying on conservative<br />

defaults in response to ever-present uncertainty as opposed to<br />

data can result in assessments yielding safe values less than<br />

background in certain media. While EPA states that IRIS<br />

chemical assessments are not risk assessments, the risk<br />

assessment implications of an IRIS TV are far reaching (e.g.,<br />

implying background arsenic soil, fish, rice, and groundwater<br />

levels exceed acceptable risk levels). Toxicologically-predictive<br />

TVs are important to properly prioritize the 3,700+ remediation<br />

sites in Texas so that agency actions and limited funds can be<br />

focused on the sites which realistically pose the greatest public<br />

health threat and thereby achieve the greatest real health risk<br />

reduction. If a great multitude of sites exceed target risk or<br />

hazard limits due to overly conservative TVs, then it is difficult<br />

to properly prioritize sites <strong>for</strong> action to achieve the greatest<br />

public health benefit. EPA has flexibility <strong>for</strong> post-Baseline <strong>Risk</strong><br />

Assessment risk management decisions when calculated media<br />

risk-/hazard-based comparison values are exceeded at a site<br />

where TCEQ does not. For the Texas <strong>Risk</strong> Reduction Program<br />

(TRRP) rule, individual-chemical and cumulative risk and<br />

hazard limits which trigger action have been included in the<br />

rule a priori, which while straight <strong>for</strong>ward does not offer risk<br />

management flexibility. For example, the individual-chemical<br />

excess risk limit which triggers action <strong>for</strong> a chemical in surface<br />

soil is 1E-05. This often triggers action under TRRP when EPA<br />

would often have the flexibility at an individual-chemical risk<br />

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