DERMAL ABSORPTION FROM SOILS--EVALUATION AND PREDICTION

皮肤从土壤中的吸收——评估和预测

• 批准号: 2155731
• 负责人: ANNETTE L BUNGE
• 金额: $ 30.6万
• 依托单位: COLORADO SCHOOL OF MINES
• 依托单位国家: 美国
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-07-15 至 1998-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2155731
• 关键词: benzopyrenes; chemical kinetics; chemical structure function; diffusion; dioxins; human subject; infrared spectrometry; interferometry; laboratory mouse; mass spectrometry; mathematical model; membrane permeability; model design /development; pollutant interaction; radiotracer; skin absorption; skin pharmacology; soil; soil pollution; water

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.

描述（改编自申请人的摘要）：此目的 研究是开发和实验验证预测的算法 皮肤接触化学污染后吸收的剂量 使用已知或容易确定的参数（例如暴露时间）对土壤进行检测， 辛醇-水分配、分子量、土壤粒径 分布、土壤有机质和水分含量。 基本假设是 化学品接触造成的系统性人类健康风险取决于 被吸收的化学物质的质量。 由于皮肤是主要屏障 对于许多化学品来说，吸收剂量可能明显低于 暴露剂量。 此外，大量的潜在土壤 污染物加上各种潜在的暴露情况， 使得对每种可能情况进行实验测试变得不可能。 在 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， 这项研究旨在系统地评估皮肤对 通过将数学模型与体外和体内相结合来研究土壤 实验产生吸收剂量的预测算法。