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Appendix D - Dossier (PDF) - Tera

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date: 20–JUL–2005<br />

5. Toxicity Substance ID: 71–43–2<br />

______________________________________________________________________________<br />

5.11 Additional Remarks<br />

Type: other: A new dose model for assessment of health risk due to<br />

contaminants in air.<br />

Remark: The problem of making quant. assessments of the risks<br />

assocd. with human exposure to toxic contaminants in the<br />

environment is a pressing one. This study demonstrates the<br />

capability of a new computational technique involving the<br />

use of fuzzy logic and neural networks to produce realistic<br />

risk assessments. The approach to this challenge tested<br />

here is to use a new model incorporating sophisticated<br />

artificial intelligence algorithms. Exposure assessment<br />

often requires that a no. of factors be evaluated, including<br />

exposure concns., intake rates, exposure times, and<br />

frequencies. These factors are incorporated into a system<br />

that can "learn" the relevant relationships based on a known<br />

data set. The results can then be applied to new data sets<br />

and thus be applied widely without the need for extensive<br />

measurements. In this anal., an example is developed for<br />

human health risk through inhalation exposure to benzene<br />

from vehicular emissions in the cities of Auckland and<br />

Christchurch, New Zealand. Risk factors considered were<br />

inhaled contaminant concn., age, body wt., and activity<br />

patterns of humans. Three major variables affecting the<br />

inhaled contaminant concn. were emissions (mainly from motor<br />

vehicles), meteorol. conditions (wind speed, temp., and atm.<br />

stability), and site factors (hilly, flat, etc.). The<br />

results are preliminary and used principally to demonstrate<br />

the technique, but they are very encouraging.<br />

Source: ExxonMobil Biomedical Sciences Inc. Annadale, New Jersey<br />

13–FEB–2002 (918)<br />

Type: other: New PBPK model applied to old occupational exposure to<br />

benzene.<br />

Remark: An intensive program of benzene monitoring using new<br />

techniques was undertaken in Western Europe in the late<br />

1960s and early 1970s. Significant exposure was found in the<br />

transport of benzene and gasoline, particularly during the<br />

loading of barges, and during the loading and operation of<br />

sea–going vessels. The ceiling threshold limit value of 25<br />

ppm recommended at that time generated problems in assessing<br />

exposure, so alternative criteria were proposed. During that<br />

period some shore–based exposures were reported, and their<br />

significance was discussed in several articles. The<br />

information gained at that time is reexamined by<br />

physiologically based pharmacokinetic (PBPK) modeling and is<br />

used to help validate an improved PBPK model, which is<br />

described and tested on results from experimental exposure<br />

in a companion article. The old field data, comprising five<br />

specific studies, confirm the relevance of modeling to<br />

assessment of occupational exposure, and demonstrate its<br />

value for interpretation of field data, which is seldom as<br />

complete, systematic, or accurate as that obtained in<br />

experimental work. The model suggests that metabolism of<br />

<strong>Appendix</strong> D: Benzene SIDS <strong>Dossier</strong><br />

– 770/957 –

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