Wearable Microsystem for Continuous Personalized Aerosol Exposure Assessment

项目总结/摘要 暴露于空气污染一直是全球疾病和死亡的主要原因之一， 这可归因于空气中的颗粒物（PM）污染。缺乏有效的干预措施是由于 在很大程度上，我们无法正确地描述和量化空气污染物的空间和时间， 代表个人曝光的分辨率。大多数现有的监测空气污染的工具都无法 准确测量暴露于多种污染物或污染物化学成分的变化， 我们团队的长期目标是： 建立一个实时、连续、多污染物、空气质量监测的基础设施， 和时间分辨率，使突破性的环境健康研究，导致有效的， 个性化的暴露分析和干预措施，以最终减少空气污染物的暴露， 整体公共卫生。在这项工作的第一阶段，我们已经开发了可穿戴技术，用于连续的气体 空气污染物监测根据不断赠款。在此，我们提出了第二阶段的可穿戴发展， 持续监测空气中颗粒物的技术。本续期申请的目的是 开发一个可穿戴系统，可以在真实的时间，量化大小分级PM跨越两个订单， 流体动力学直径（~2.5µm至50 nm），并对PM、微量金属 和元素碳。这种成本有效的系统可以分布在用户网络上，收集真实的 时间数据，而移动的在环境中，在广泛的空间分布，具有高的空间和时间 分辨率此外，通过用环境（温度、湿度等）对该数据进行时间标记，和物理 （地点、活动等）参数，我们的系统将允许前所未有的信息丰富的数据集， 离线分析和健康影响建模，以及个人用户的个人暴露管理 水平该项目的具体目标是：1）开发和表征一个小型化的系统， PM捕获和尺寸分级（通过开发小型化组件来捕获 在液体中的空气传播的PM，随后是将PM分成五个尺寸箱的微流体部件）; 2） 开发和表征用于实时PM定量和元素成分的小型化系统 分类（通过电容器计数每个尺寸箱内的颗粒，然后通过电化学测量来完成）。 痕量金属和元素碳成分的分类）;以及3）评估新的PM监测系统 用于真实的世界环境中的社区健康研究（通过现场测试和评估完成， 固定联邦参考方法的PM质量和化学成分，其次是社区暴露 评估研究，以描述不同地区空气污染物的时空异质性 底特律市区内的健康负担和风险社区）。

Project Summary / Abstract Exposure to air pollution consistently ranks among the leading global causes of illness and death, a majority of which can be attributed to airborne particulate matter (PM) pollution. The lack of effective interventions are due in large part to our inability to properly characterize and quantify air pollutants with the spatial and temporal resolution that represents personal exposures. Most existing tools for monitoring air pollution are incapable of accurately measuring exposures to multiple pollutants or the variability of pollutant chemical composition within and across individual microenvironments, time of day, personal lifestyles, etc. The long term goal of our team is to establish an infrastructure for real-time, continuous, multi-pollutant, air quality monitoring with very high spatial and temporal resolution, enabling groundbreaking environmental health research leading to effective, personalized, exposure analytics and interventions to ultimately reduce exposures to air pollutants and improve overall public health. In Phase 1 of this effort, we have developed wearable technologies for continuous gaseous air pollutant monitoring under an ongoing grant. Herein, we propose Phase 2 development of wearable technologies for continuous airborne particulate monitoring. The objective of this renewal application is to develop a wearable system that can, in real time, quantify size-fractionated PM across two orders of hydrodynamic diameter (~2.5µm to 50nm) and classify health-critical elemental components of PM, trace metals and elemental carbon. This cost effective system could be distributed over a network of users, gathering real- time data while mobile in the environment, over a wide spatial distribution, with high spatial and temporal resolution. Moreover, by time tagging this data with environmental (temperature, humidity, etc.) and physical (location, activity, etc.) parameters, our system would permit an unprecedentedly information rich dataset for offline analysis and health impact modeling, as well as for personal exposure management at the individual user level. The Specific Aims of this project are to: 1) Develop and characterize a miniaturized system for real-time PM capture and size fractionation (accomplished by development of a miniaturized component to capture airborne PM in a liquid, followed by a microfluidic component that separates the PM into five size bins); 2) Develop and characterize a miniaturized system for real-time PM quantification and elemental component classification (accomplished by capacitively counting particles within each size bin followed by electrochemical classification of trace metal and elemental carbon components); and 3) Evaluate the new PM monitoring system for community health studies in real world environments (accomplished by field testing and evaluation against stationary federal reference methods for PM mass and chemical composition, followed by a community exposure assessment study to characterize the spatial and temporal heterogeneity of air pollutants across disparate communities of health burden and risk within the Detroit urban area).