DERMAL ABSORPTION FROM SOILS--EVALUATION AND PREDICTION

描述(改编自申请人的摘要)：本报告的目的 研究是开发和实验验证预测预测的算法 皮肤暴露于化学污染后的吸收剂量 土壤使用已知的或容易确定的参数，例如暴露时间， 辛醇-水分配、相对分子质量、土壤粒度 分布，以及土壤有机质和水分含量。基本假设是 化学物质暴露带来的系统性人类健康风险取决于 被吸收的化学物质的质量。因为皮肤是主要的障碍 对于许多化学品来说，吸收剂量可能显著低于 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景， 使得对所有可能的情况进行实验测试都是不可能的。在……里面 相比之下，使用经过验证的预测算法将有助于 估计暴露于受污染土壤后的皮肤吸收。因此， 这项研究建议系统地评估皮肤吸收从 数学模型与体外和体内相结合的土壤 实验以产生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.