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