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

基本信息

批准号：
10683214
负责人：
Joseph Timothy Dvonch
金额：
$ 54.6万
依托单位：
MICHIGAN STATE UNIVERSITY
依托单位国家：
美国
项目类别：
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/10683214
关键词：
Aerosols Air Air Pollutants Air Pollution Airborne Particulate Matter Biological Carbon Cessation of life Chemicals Classification Communities Community Health Systems Complex Data Data Set Development Devices Diameter Elements 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 Elements Trace metal Ultrafine air monitoring assessment application atmospheric aerosols community health study cost cost effective design effective intervention evaluation/testing field study fine particles health data health disparity populations 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

项目摘要

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).