NERL Research Abstract

EPA's National Exposure Research Laboratory
GPRA Goal 3 - Safe Food
APM # 661

Significant Research Findings

First-Generation Multimedia, Multipathway
Exposure Models

Scientific The Food Quality Protection Act (FQPA) of 1996 requires EPA to consider
Problem and aggregate human exposure to a pesticide, especially for infants and children,
Policy Issues when setting regulatory limits on its usage. Aggregate exposure is the total

exposure of humans to the pesticide from all uses and through various pathways
and environmental media. These include dietary ingestion of pesticide residues
in food and water, inhalation of air containing pesticides, dermal contact with
surfaces containing pesticides (indoors and residential lawns), and non-dietary
ingestion of pesticide residues from hand- or object-to-mouth activities.
Estimation of the population's exposure from dietary ingestion and inhalation is
difficult because of the lack of information on human activity patterns and food
consumption, limited knowledge of contaminant levels in food, and challenges
in determining breathing rates for different levels of human activity. Dermal
and non-dietary exposure pathways are challenging to quantify because many
factors that are difficult to measure (such as the frequency of contact with
contaminated surfaces, the subsequent transfer from those surfaces, and the
frequency of putting fingers and objects into one's mouth) influence exposure.
These issues result in both variability of exposures to individuals within a
population and uncertainty in exposure estimates. Hence, a probabilistic model
that predicts the range and distribution of personal exposures and doses within
a population as well as the uncertainty in the model estimates was developed.
The model is called the Stochastic Human Exposure and Dose Simulation
Model for Pesticides, or SHEDS-Pesticides.

Research The primary objective of this research is to develop a computerized model for
Approach conducting assessments of aggregate pesticide exposure and dose. As an
example, the model is demonstrated by an assessment for the insecticide
chlorpyrifos. Chlorpyrifos has been widely used in homes and on food crops,
and is associated with multiple media and pathways of human exposure.
The aggregate SHEDS-Pesticides model is being developed in stages. The first
was development of the residential SHEDS-Pesticides model that focused on
children's exposure and absorption via dermal contact with and non-dietary

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ingestion of surface residues in and around the home. Distributions of
exposure, mass of 3,5,6 -trichloro-2-pyridinol TCP (a urinary metabolite of
chlorpyrifos) in blood, and the amount of TCP eliminated in urine were
modeled for different residential uses of chlorpyrifos, different times after
application, and different age groups of children that might be exposed. The
second stage has involved combining the Residential-SHEDS results with a
probabilistic, multimedia, multipathway exposure model and chlorpyrifos
assessment developed as part of the National Human Exposure Assessment
Survey (NHEXAS). Pathways included in the NHEXAS model were inhalation
of indoor and outdoor air, dietary ingestion, non-dietary ingestion of dust, and
non-dietary ingestion of soil. This assessment simulated distributions of daily
aggregate and pathway-specific chlorpyrifos absorbed into the body for the
general population of Arizona and for children aged 3 to 12 years residing in
Minneapolis-St. Paul, MN. Combining these two modeling assessments
yielded initial estimates of aggregate exposure and absorbed dose for short and
longer term post application time periods.

Results and Results from the Residential-SHEDS modeling study indicate that dermal
Implications absorption was the major contributor to dose for time periods soon after

application (less than a week or month). Younger children (0-4 years old) had
higher exposures and doses than older children (5-9 years old) because of
differences in assumed activity patterns. Contact with smooth surfaces caused
higher exposure than contact with textured surfaces such as carpets because of
greater transfer efficiency to skin from smooth surfaces. Model results of
metabolite in urine are of the same levels as published data from other studies,
suggesting that the model estimates are realistic.

The NHEXAS chlorpyrifos model results suggest that for longer times after
application, the major route of chlorpyrifos intake is food ingestion, followed
by dust ingestion and indoor air inhalation. High variability in modeled
absorbed doses primarily reflects differences in activities of the children and
differences in the concentrations contacted by individuals during their daily
activities. When the NHEXAS Arizona and Minneapolis-St. Paul data become
available, they can be compared to the modeled distributions. When
considering all the time periods after application within a year, inhalation and
dietary ingestion routes dominated for the average population, and dermal and
non-dietary ingestion routes dominated for the higher exposed persons,
corresponding to recent pesticide applications. The estimates for the most
highly exposed were found to be very sensitive to pesticide usage information
(i.e., assumed probability of a broadcast versus a crack and crevice application).
Preliminary analyses reveal that uncertainty in model results stems from lack of
data for critical factors, including: information on pesticide usage; the pattern
and frequency of touching surfaces; hand- and object-to mouth activity patterns;
environmental concentrations and pesticide residue concentrations at different

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post-application times, and; factors related to intake and uptake into the human
body after exposure. The development of this first-generation aggregate model,
with many built-in assumptions, is still at an early stage. Nevertheless, these
preliminary results help researchers to better understand the events and factors
that lead to pesticide exposure. As development progresses, the model will
help refine identification of areas of greatest uncertainty that need more
research.

This research project directly supports ORD's research to improve the scientific
foundation of human health risk assessment under the GPRA Goal 8.2.1,
Annual Performance Measure (APM) 661 (Develop first generation multimedia
and multipathway exposure models for infants, children, and the general
populations). It will help the program offices improve the risk assessment and
risk management processes by providing more realistic exposure assessment
methods than currently used screening level methods. The SHEDS-Pesticides
model will help users test hypotheses and formulate appropriate designs for
exposure measurement studies. This work also directly addresses GPRA Goal
3.2.4 (Safe Food, Research to Support New Regulatory Requirements under
FQPA), APM 680 (First Generation Multimedia, Multipathway Exposure
Model for Infants and Young Children and the ID of Critical Exposure
Pathways and Factors). The probabilistic modeling approach used by SHEDS-
Pesticides can aid the determination of whether for a given pesticide "there is a
reasonable certainty that no harm will result from aggregate exposures to the
pesticide's chemical residue from all anticipated dietary sources as well as all
exposures from other sources for which there are reliable information," as
required by FQPA. SHEDS will help to improve quantification of infants and
children's exposure and dose to pesticides and provide a framework for
identifying and prioritizing measurement needs under FQPA.

Research

Collaboration

and

Publications

The SHEDS-Pesticides modeling project was conducted primarily by a team of
NERL staff scientists. EPA's Office of Pesticide Programs cooperated and
provided technical input. Contractor assistance in writing computer programs
was provided by ManTech Environmental Technology, Inc. and independent
consultant Dr. Jianping Xue. Professor Robert Buck, University of Michigan,
provided contractor assistance in developing model inputs based on available
data. This research has been presented in several international and national
conference presentations, and in the manuscripts that follow.

Zartarian, V.G., Ozkaynak, H., Burke, J.M., Zufall, M.J., Rigas, M.L., Furtaw, E.J., Jr. A
modeling framework for estimating children's residential exposure and dose to
chlorpyrifos via dermal residue contact and nondietary ingestion. Environmental
Health Perspectives 108: 505-514, 2000.

Buck, R.J., Ozkaynak, H., Xue, J., Zartarian, V.G., Hammerstrom, K. Modeled estimates of

chlorpyrifos exposure and dose for the Minnesota and Arizona NHEXAS populations.
Journal of Exposure Analysis and Environmental Epidemiology. Submitted.

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Future	The first-generation multimedia, multipathway exposure models described here

Research are part 0f a |arger on-going effort to develop models that improve our

understanding of the pathways and factors that contribute to pollutant exposure
and dose, especially to infants and children. The aggregate SHEDS-Pesticides
model is being modified to include daily time profiles of exposure, absorbed
dose, and eliminated dose via the inhalation, dermal, dietary, and non-dietary
ingestion routes for discrete time periods post-application. Research will be
conducted to extend these daily cross-sectional profiles to longitudinal profiles
(e.g., monthly or annual profiles) that account more accurately for accumulation
of pesticides in the body. Work is also being conducted to refine the dose
aspects of the model using the dose estimating exposure model being developed
in NERL. That research will help SHEDS-Pesticides to better simulate the
body's uptake, metabolism, and elimination of pesticides. Additional exposure
pathways such as contact with residues on pets and track-in of pesticides into
the home on shoes and clothing will also be included in SHEDS-Pesticides, and
new measurements data will be used to refine the model inputs and evaluate the
model outputs. In addition, a user-friendly interface is being developed for the
aggregate SHEDS-Pesticides model.

Questions regarding NERL's human exposure and dose modeling research can

be directed to:

Haluk Ozkaynak, Ph.D.

U.S. Environmental Protection Agency

National Exposure Research Laboratory (MD-56)

Research Triangle Park, NC 27711

Phone: (919)541-5172

E-mail: ozkaynak.haluk@epa.gov

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