DERMAL ABSORPTION FROM SOILS--EVALUATION AND PREDICTION

描述（改编自申请人的摘要）： 研究是开发和实验验证预测算法， 皮肤接触化学污染物后的吸收剂量 土壤使用已知的，或容易确定的参数，如暴露时间， 辛醇-水分配，分子量，土壤粒径 分布、土壤有机质和水分含量。 基本的假设是 化学品接触对人体健康的系统性风险取决于 被吸收的化学物质的质量。 因为皮肤是一个主要的屏障 对许多化学品来说，吸收剂量可能远远小于 暴露剂量 此外，大量潜在的土壤 污染物加上各种各样的潜在暴露情况， 使得对每一种可能的情况进行实验测试变得不可能。 在 相反，使用经验证的预测算法将有助于 估计接触受污染土壤后的皮肤吸收。 因此，在本发明中， 这项研究建议系统地评估皮肤吸收， 土壤的数学模型，结合体外和体内 实验以产生用于吸收剂量的预测算法。

DESCRIPTION (adapted from the applicant's abstract): The objective of this research is to develop and experimentally validate algorithms which predict the absorbed dose following dermal exposure to chemically contaminated soils using known, or easily determined parameters such as exposure time, octanol-water partitioning, molecular weight, soil particle size distribution, and soil organic and water content. The basic assumption is that systemic human health risk from chemical exposure is dependent upon the mass of chemical which is absorbed. Since the skin is a major barrier to many chemicals, the absorbed dose may be significantly less than the exposed dose. Additionally, the large number of potential soil contaminants coupled with a wide variety of potential exposure scenarios, makes the experimental testing of every possible case impossible. In contrast, the use of a validated predictive algorithm would be useful to estimate dermal absorption following exposure to contaminated soils. Thus, this research proposes to systematically evaluate dermal absorption from soils by combining mathematical models with in vitro and in vivo experiments to produce predictive algorithms for the absorbed dose.