Wearable Microsystem for Continuous Personalized Aerosol Exposure Assessment

用于连续个性化气溶胶暴露评估的可穿戴微系统

• 批准号: 10316689
• 负责人: Joseph Timothy Dvonch
• 金额: $ 59.86万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-21 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10316689
• 关键词: Aerosols; Air; Air Pollutants; Air Pollution; Airborne Particulate Matter; Biological; Caliber; Carbon; Cessation of life; Chemicals; Classification; Communities; Community Health; Community Health Systems; Complex; Data; Data Set; Development; Devices; Environment; Environmental Health; Evaluation; Exposure to; Fractionation; Goals; Grant; Health; Heterogeneity; Humidity; Individual; Infrastructure; Intervention; Life Style; Link; Liquid substance; Location; Measures; Methods; Microfluidic Microchips; Microfluidics; Modeling; Monitor; Nature; Particulate; Particulate Matter; Phase; Pollution; Public Health; Public Health Applications Research; Real-Time Systems; Reporting; Research; Resolution; Risk; Sampling; Spatial Distribution; Surface; System; Techniques; Technology; Temperature; Time; Trace metal; Ultrafine; air monitoring; atmospheric aerosols; base; community health study; cost; cost effective; design; effective intervention; field study; fine particles; health data; health management; improved; innovation; microsystems; miniaturize; mortality; novel; particle; particle counter; pathogen; pollutant; portability; public health intervention; software development; spatiotemporal; temporal measurement; tool; ultrafine particle; urban area; wearable device; wearable sensor technology; Aerosols; Air; Air Pollutants; Air Pollution; Airborne Particulate Matter; Biological; Caliber; Carbon; Cessation of life; Chemicals; Classification; Communities; Community Health; Community Health Systems; Complex; Data; Data Set; Development; Devices; Environment; Environmental Health; Evaluation; Exposure to; Fractionation; Goals; Grant; Health; Heterogeneity; Humidity; Individual; Infrastructure; Intervention; Life Style; Link; Liquid substance; Location; Measures; Methods; Microfluidic Microchips; Microfluidics; Modeling; Monitor; Nature; Particulate; Particulate Matter; Phase; Pollution; Public Health; Public Health Applications Research; Real-Time Systems; Reporting; Research; Resolution; Risk; Sampling; Spatial Distribution; Surface; System; Techniques; Technology; Temperature; Time; Trace metal; Ultrafine; air monitoring; atmospheric aerosols; base; community health study; cost; cost effective; design; effective intervention; field study; fine particles; health data; health management; improved; innovation; microsystems; miniaturize; mortality; novel; particle; particle counter; pathogen; pollutant; portability; public health intervention; software development; spatiotemporal; temporal measurement; tool; ultrafine particle; urban area; wearable device; wearable sensor technology

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).

项目摘要 /摘要 暴露于空气污染始终在全球疾病和死亡的主要原因中排名 这可以归因于空降特定物质（PM）污染。缺乏有效的干预措施应到期 在很大程度上是我们无法正确地表征和量化空间和临时的空气污染物 代表个人暴露的决议。大多数现有用于监视空气污染的工具无能力 准确测量对多种污染物的暴露或污染物化学成分的变异性 在个人微环境中，一天中的时间，个人生活方式等。我们团队的长期目标是 为实时，连续，多污染物，空气质量监测建立基础设施，并以非常高的空间监测 以及临时解决方案，从而实现了开创性的环境健康研究，从而有效， 个性化的，暴露分析和干预措施，最终减少对空气污染物的接触并改善 总体公共卫生。在这项工作的第1阶段，我们开发了可穿戴技术的连续气态 在正在进行的赠款下进行空气污染物监测。在此，我们提出了2阶段的可穿戴设备开发 连续空降特定监控的技术。此续订应用的目的是 开发一个可穿戴系统，可以实时量化两个级数的尺寸分级PM 流体动力直径（〜2.5µm至50nm），并对PM的健康关键元素成分进行分类 和元素碳。这个具有成本效益的系统可以通过用户网络分发，收集现实 在环境中移动时的时间数据，在广泛的空间分布中，具有高空间和临时性 解决。此外，随着时间的推移将这些数据标记为环境（温度，湿度等）和物理 （位置，活动等）参数，我们的系统将允许空前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 等级。该项目的具体目的是：1）开发和表征实时的小型化系统 PM捕获和尺寸分馏（通过开发小型成分来捕获 空气中的PM在液体中，然后是微流体成分，将PM分为五个尺寸箱）； 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（通过在每个尺寸箱内计数颗粒，然后是电化学 痕量金属和元素碳成分的分类）； 3）评估新的PM监测系统 用于现实世界环境中的社区健康研究（通过现场测试和评估来完成 PM质量和化学成分的固定联邦参考方法，然后进行社区曝光 评估研究以表征空气污染物跨越不同的空间和暂时异质性 底特律市区内的健康燃烧和风险社区）。