Development of a Route of Exposure Model Using Silicone Wristbands as Personal Samplers

使用硅胶腕带作为个人采样器开发暴露途径模型

• 批准号: 10323407
• 负责人: Steven Gehrig O'Connell
• 金额: $ 15万
• 依托单位: MYEXPOSOME, INC.
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10323407
• 关键词: Adoption; Air; Aromatic Polycyclic Hydrocarbons; Atmosphere; Benchmarking; Biological Markers; Caffeine; Categories; Characteristics; Chemical Exposure; Chemicals; Communities; Complex; Data; Data Set; Dermal; Detection; Development; Dose; Exposure to; Flame Retardants; Food; Foundations; Health; Human; Individual; Industry; Maintenance; Methods; Modeling; Monitor; Nicotine; Organic Chemicals; Organic Chemistry; Outcome; Participant; Pesticides; Phase; Plasticizers; Polymers; Protocols documentation; Public Health; Publications; Reporting; Research; Research Personnel; Risk; Risk Assessment; Route; Sampling; Science; Silicones; Skin; Source; Surface; Technology; Testing; Time; Training; Work; absorption; base; citizen science; commercial application; cost; exposure route; innovation; novel strategies; particle; personal care products; phthalates; predictive modeling; prototype; uptake

Project Summary Silicone wristbands (SWBs) are a relatively new personal sampling approach but have been increasingly used as personal passive samplers in over 25 publications representing over 1000 participants and 100s of detected chemicals in the short time they have been available. Using SWBs is appealing because they are easy to wear, have a wide range of potential capture, and do not require training, energy or maintenance. However, the effect and magnitude of skin/sweat/contact exposure versus air exposure when reporting chemical data from SWBs is not well understood. This application will help distinguish direct contact from atmospheric exposures and help predict dominant exposure routes for individual chemicals. Helping to predict chemical uptake and likely routes of exposure among multiple chemical classes will impact public health by dramatically increasing the efficiency of mitigating strategies, risk assessment and study of the exposome and how it impacts human health outcomes. Traditional methods of capturing personal exposures typically represents a single route of exposure and captures a specific chemical or set of chemicals. In contrast, silicone is a polymer well suited to capture a wide range of organic chemistry and SWBs can capture compounds dermally or through direct contact in addition to atmospheric sources. The resulting data from SWBs therefore represents a complex exposure profile that is often more relevant to internal dose for certain compounds. However, the additional capacity of wristbands absorbing chemicals from non-atmospheric sources is not yet easily characterized or predicted. Physicochemical parameters have been used previously to help predict atmospheric uptake for different chemicals. The proposed research will use SWB data and physicochemical parameters to build a prototype of a model that helps predict dominant routes of exposure. SWBs will be used in paired configurations (“traditional” and an “air-only” configuration) that will help compare routes of exposure and will be analyzed for over 1500 chemical compounds including pesticides, flame retardants, polycyclic aromatic hydrocarbons, phthalates, fragrances and additives in personal care products, food-related chemicals such as nicotine and caffeine, and chemicals associated with industry like plasticizers. There are two Aims to this proposal: 1) utilize multiple silicone wristband configurations in a field demonstration of atmospheric and contact absorption with a 1500 chemical screen among a maximum of 30 individuals, and 2) build a prototype of an uptake model that predicts dominant routes of exposure for chemicals based on their inherent characteristics. With two samplers for every participant, up to 60 samples will be screened for 1529 organic chemicals representing a rich dataset of personal exposures. This will serve as a good foundation to begin building robust exposure models.

项目摘要 硅胶腕带（SWBs）是一种相对较新的个人采样方法，但已越来越多地使用 作为个人被动采样器在超过25个出版物代表超过1000名参与者和100个检测到的 化学品在很短的时间内，他们已经可用。使用SWBs是有吸引力的，因为它们很容易穿， 具有广泛的潜在捕获，并且不需要训练、能量或维护。但 当报告化学数据时，皮肤/汗液/接触暴露与空气暴露的影响和程度 SWBs不太清楚。这种应用将有助于区分直接接触和大气暴露 并帮助预测个别化学品的主要暴露途径。帮助预测化学吸收， 多种化学品类别之间的可能接触途径将通过急剧增加 缓解战略的效率、风险评估和对麻烦的研究以及它如何影响人类 健康成果。 捕获个人曝光的传统方法通常代表单一曝光途径， 捕获特定的化学物质或一组化学物质。相比之下，硅树脂是非常适合于捕获宽的光的聚合物。 一系列有机化学和SWB可以通过皮肤或直接接触捕获化合物， 大气来源。因此，从SWB得到的数据代表了一个复杂的暴露曲线， 通常与某些化合物的内部剂量更相关。然而，腕带的额外容量 从非大气来源吸收化学品尚不容易表征或预测。 物理化学参数以前曾被用来帮助预测不同的大气吸收 化学品这项研究将利用主观幸福感数据和理化参数来建立一个原型， 这一模型有助于预测主要的暴露途径。SWB将用于配对配置 （“传统”和“空气”配置），这将有助于比较暴露途径，并将进行分析 超过1500种化合物，包括杀虫剂，阻燃剂，多环芳烃， 邻苯二甲酸盐，个人护理产品中的香料和添加剂，与食品有关的化学品，如尼古丁和 咖啡因和增塑剂等与工业相关的化学物质。 该建议有两个目的：1）在现场使用多个硅胶腕带配置 大气和接触吸收的演示，最多30个化学屏幕中的1500个 个人，和2）建立一个原型的吸收模型，预测主要途径的接触， 化学品基于其固有特性。每个参与者配备两个采样器，最多可采集60个样本 将筛选1529种有机化学品，代表丰富的个人暴露数据集。这将服务于 作为开始建立可靠的暴露模型的良好基础。