Wearable Nanosensor Array for Real-Time Monitoring of Diesel and Gasoline Exhaust

用于实时监测柴油和汽油尾气的可穿戴纳米传感器阵列

基本信息

批准号：
7847826
负责人：
ASHOK MULCHANDANI
金额：
$ 11.1万
依托单位：
UNIVERSITY OF CALIFORNIA RIVERSIDE
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-06-01 至 2010-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7847826
关键词：
Acrolein Air Arsenic Benzene Breathing Burn injury Butadiene Carbon Dioxide Carbon Monoxide Carbon Nanotubes Characteristics Chemicals Chromium Collaborations Communication Complex Mixtures Data Data Collection Detection Device Designs Devices Diesel Exhaust Disease Disulfides Electrodes Electroplating Engine Exhaust Exposure to Formaldehyde Gases Gasoline Genetic Predisposition to Disease Goals Humidity Hydrocarbons Hydrogen Hydrogen Sulfide Individual Life Link Lung diseases Malignant Neoplasms Manganese Measurement Measures Mercury Metals Monitor Nanostructures Naphthalene Naphthalenes Nickel Nitrogen Dioxide Nitrous Oxide Noise Operative Surgical Procedures Pattern Performance Polymers Printing Process Radiation Research Research Personnel Route Scheme Series Side Signal Transduction Soot Source Staging Sulfur Dioxide System Techniques Teflon Temperature Testing Time Toluene Transistors Validation Variant Wireless Technology Zinc Oxide air contaminant analog computerized data processing data acquisition digital exhaust flexibility hazard improved information gathering light weight meetings metal oxide multidisciplinary nanosensors particle pollutant polyaniline polypyrrole polythiophene portability programs prototype response sensor stannic oxide vapor

项目摘要

DESCRIPTION (provided by applicant): Diesel and gasoline exhaust, produced when an engine burns fuel, is a complex mixture of gases and fine particles. Recent studies have linked respiratory diseases and cancer to exposure to gasoline and diesel exhaust. These diseases, however, are also attributed to genetic susceptibility. Establishing a direct linkage of these diseases to diesel and/or gasoline exhaust requires reliable and reproducible quantitative measure of exposure. The overall aim of the proposed collaborative research is to create, evaluate and validate an autonomous/self-contained wearable, approximately 4" by 4", sensor array for the real-time monitoring of exposure through inhalation to the gaseous components of internal combustion engine exhaust. The fully integrated light weight sensor that can be worn as badge similar to y-radiation counter will comprise an array of conductometric and amperometric sensors, and low-power fully integrated microelectronics for power management, data collection, and signal processing and wireless communications. Arrays of independent sensors can offer much more analytical information on personal exposure and thus hold a great potential for selective and accurate monitoring of low concentrations of mobile source air toxics and other relevant pollutants in real-time. The conductometric and amperometric platforms have strengths that are complementary to each other and are extremely 1C compatible. Advanced data processing will be used for generating distinct response patterns and detecting the individual compounds in gaseous mixtures. Such judicious integration of two powerful detection schemes along with an intelligent data processing should dramatically increase the gathered information on personal exposure to offer remarkable reliability along with broad scope, while meeting the portability requirements of decentralized detection systems. Our multidisciplinary expertise, extensive preliminary data and successful past collaboration lay the groundwork for the proposed activity. The overall goal will be realized by 1) developing, optimizing, characterizing and testing conductometric nanosensor array, 2) developing, optimizing, characterizing and testing microfabricated amperometric sensor array 3) developing integrated microelectronics for optimal power management, data collection and signal processing and remote communication, 4) integrating conductometric and amperometric sensor arrays in a single platform with incorporated microelectronics and 5) testing and validating the wearable sensor array by monitoring in real-time diesel and gasoline exhausts under realistic exposure conditions.

描述（由申请人提供）：当发动机燃烧燃料时，柴油和汽油排气是气体和细颗粒的复杂混合物。最近的研究将呼吸道疾病和癌症与暴露于汽油和柴油排气联系起来。但是，这些疾病也归因于遗传敏感性。建立这些疾病与柴油和/或汽油排气的直接联系需要可靠且可重复的暴露量度。拟议的协作研究的总体目的是创建，评估和验证自动/独立的可穿戴设备，大约4“ x 4”，即通过吸入内燃烧引擎气体组件实时监测暴露的传感器阵列排气。可以用作类似于Y辐射计数器的徽章的完全集成的轻质传感器将包含一系列的电导测量学传感器，以及用于电源管理，数据收集以及信号处理以及无线通信的低功率完全集成的微电源。独立传感器阵列可以提供有关个人暴露的更多分析信息，因此具有巨大的潜力，可以实时选择和准确监测低浓度的移动源空气毒物和其他相关污染物。电导率和安培平台具有相互互补的强度，并且非常1C兼容。先进的数据处理将用于生成不同的响应模式并检测气态混合物中的各个化合物。这种明智地整合两个强大的检测方案以及智能数据处理，应大大增加有关个人暴露的收集信息，以提供显着的可靠性以及广泛的范围，同时满足分散的检测系统的可移植性要求。我们的多学科专业知识，广泛的初步数据和成功的合作为拟议活动奠定了基础。总体目标将通过1）实现1）开发，优化，表征和测试电导率纳米传感器阵列，2）开发，优化，表征和测试微生体的安培传感器阵列3）开发用于最佳功率管理，数据收集和信号处理的集成微电源通信，4）在单个平台中集成电导率和安培传感器阵列，其中包含的微电子和5）测试和验证可穿戴的传感器阵列，通过在现实的暴露条件下进行实时柴油和汽油排气器进行监视。