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：
7337716
负责人：
ASHOK MULCHANDANI
金额：
$ 56.71万
依托单位：
UNIVERSITY OF CALIFORNIA RIVERSIDE
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-08-15 至 2011-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7337716
关键词：
Acrolein Air Arsenic Benzene Breathing Burn injury Butadiene Carbon Dioxide Carbon Monoxide Carbon Nanotubes Characteristics Chemicals Chromium Collaborations Communication Compatible Complex Mixtures Condition 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 hazard improved information gathering light weight 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）：发动机燃烧燃料时产生的柴油和汽油废气是气体和细颗粒的复杂混合物。最近的研究表明，呼吸系统疾病和癌症与接触汽油和柴油废气有关。然而，这些疾病也归因于遗传易感性。建立这些疾病与柴油和/或汽油排放的直接联系需要可靠且可重复的暴露定量测量。拟议合作研究的总体目标是创建、评估和验证自主/自给式可穿戴设备（大约 4 英寸 x 4 英寸）传感器阵列，用于实时监测吸入内燃机气体成分的暴露情况排气。这种完全集成的轻型传感器可以像 y 辐射计数器一样作为徽章佩戴，将包括一系列电导和电流传感器，以及用于电源管理、数据收集、信号处理和无线通信的低功耗完全集成微电子器件。独立传感器阵列可以提供更多有关个人暴露的分析信息，因此在实时选择性和准确监测低浓度移动源空气毒物和其他相关污染物方面具有巨大潜力。电导法和电流法平台具有互补的优势，并且具有极高的 1C 兼容性。先进的数据处理将用于生成不同的响应模式并检测气体混合物中的单个化合物。两种强大的检测方案与智能数据处理的明智集成应该会显着增加收集的个人暴露信息，以提供卓越的可靠性和广泛的范围，同时满足分散检测系统的可移植性要求。我们的多学科专业知识、广泛的初步数据和过去成功的合作为拟议的活动奠定了基础。总体目标将通过以下方式实现：1) 开发、优化、表征和测试电导纳米传感器阵列，2) 开发、优化、表征和测试微型电流传感器阵列，3) 开发集成微电子技术，以实现最佳电源管理、数据收集和信号处理以及远程控制。通信，4）将电导和电流传感器阵列集成在一个集成微电子的单一平台中，5）通过在真实暴露条件下监测实时柴油和汽油尾气来测试和验证可穿戴传感器阵列。