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: 10491288
• 负责人: Joseph Timothy Dvonch
• 金额: $ 55.69万
• 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/10491288
• 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; microelectronics; microsystems; miniaturize; miniaturized device; 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 暴露在空气污染中一直是全球疾病和死亡的主要原因之一，大多数 这可以归因于空气中的颗粒物(PM)污染。缺乏有效的干预措施是应该的 这在很大程度上是因为我们无法正确地描述和量化空气污染物的时空 代表个人曝光的解决方案。大多数现有的监测空气污染的工具都无法 准确测量接触多种污染物或以下污染物化学成分的可变性 以及个人微环境、一天中的时间、个人生活方式等。我们团队的长期目标是 建立实时、连续、多污染物、空间高度集中的空气质量监测基础设施 和时间分辨率，使突破性的环境健康研究能够带来有效、 个性化的暴露分析和干预措施，最终减少暴露在空气污染物中并改善 整体公共卫生。在这项工作的第一阶段，我们开发了可穿戴技术，用于连续气体 根据一项正在进行的拨款进行空气污染物监测。在此，我们提出了可穿戴设备的第二阶段开发 空气颗粒物连续监测技术。是次续期申请的目的是 开发一种可穿戴系统，该系统可以实时量化两个订单中不同大小的PM 流体力学直径(约2.5微米至50纳米)并对PM、痕量金属的健康关键元素成分进行分类 和元素碳。这个经济实惠的系统可以分布在一个用户网络上，收集真实的 时间数据虽然在环境中移动，但空间分布广泛，具有很高的空间和时间 决议。此外，通过使用环境(温度、湿度等)对这些数据进行时间标记和身体上的 (地点、活动等)参数，我们的系统将允许一个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。本项目的具体目标是：1)开发和表征一个小型化的实时系统 PM捕获和粒度分级(通过开发用于捕获的微型组件来实现 液体中的空气PM，然后是将PM分成五个大小的垃圾箱的微流体组件)；2) 微型化PM实时定量及元素分析系统的研制与表征 分类(通过对每个尺寸箱内的颗粒进行电容计数，然后进行电化学分类 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 用于现实世界环境中的社区健康研究(通过现场测试和评估 PM质量和化学成分的固定联邦参考方法，然后是社区暴露 描述不同地区空气污染物时空异质性的评估研究 底特律市区内的健康负担和风险社区)。