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

项目摘要 硅胶腕带(SWB)是一种相对较新的个人采样方法，但已被越来越多地使用 作为个人被动采样器，在超过25份出版物中，代表超过1000名参与者和100名被检测到的 化学物质在很短的时间内就可以获得。使用SWBS很有吸引力，因为它们很容易佩戴， 具有广泛的潜在捕获能力，不需要培训、精力或维护。然而， 报告化学数据时，皮肤/汗液/接触性接触与空气接触的影响和程度 人们对SWBS的理解还不够深入。这项应用将有助于区分直接接触和大气接触。 并帮助预测个别化学品的主要接触途径。帮助预测化学物质的吸收和 多个化学类别之间可能的接触途径将显著增加 缓解策略的效率、风险评估和研究暴露组及其对人类的影响 健康结果。 获取个人暴露的传统方法通常代表单一的暴露途径和 捕获特定的化学物质或一组化学物质。相比之下，硅胶是一种聚合物，非常适合捕捉广泛的 一系列的有机化学和SWB可以通过皮肤或通过直接接触捕获化合物 大气来源。因此，从SWB得到的数据代表了复杂的暴露概况，即 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还不容易确定或预测。 物理化学参数以前已经被用来帮助预测大气对不同 化学制品。拟议的研究将使用SWB数据和物理化学参数来构建一个原型 帮助预测主要接触途径的模型。SWB将在配对配置中使用 (“传统”和“纯空气”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、 个人护理产品中的邻苯二甲酸盐、香料和添加剂，与食品有关的化学品，如尼古丁和 咖啡因，以及与工业相关的化学品，如增塑剂。 这一提议有两个目的：1)在一个领域中使用多种硅胶腕带配置 通过最多30个化学屏幕中的1500个化学屏幕演示大气和接触吸收 个人，以及2)建立摄取模型的原型，该模型预测接触的主要途径 基于其固有特性的化学品。每个参与者有两个采样器，最多60个样本 将对1529种有机化学物质进行筛选，这些化学物质代表着丰富的个人接触数据集。这将会起到作用 作为开始构建健壮的暴露模型的良好基础。

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.