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

当发动机燃烧燃料时产生的柴油和汽油废气是一种复杂的气体混合物， 粒子最近的研究将呼吸道疾病和癌症与接触汽油和柴油联系起来 废气中然而，这些疾病也归因于遗传易感性。建立直接联系 这些疾病的柴油和/或汽油废气需要可靠的和可重复的定量测量 暴露。 拟议的合作研究的总体目标是创建、评估和验证一个 自主/独立的可穿戴，大约4”乘4”，传感器阵列，用于实时监测 通过吸入内燃机废气的气体成分而暴露。完全 可以作为类似于γ辐射计数器的标记佩戴的集成的轻质传感器将包括阵列 电导和电流传感器，以及低功耗完全集成的微电子器件， 管理、数据收集、信号处理和无线通信。独立数组 传感器可以提供更多关于个人暴露的分析信息，因此具有很大的潜力， 选择性和准确地监测低浓度的移动的源空气有毒物质和其他相关的 污染物实时监测电导和电流平台具有以下优点： 它们是互补的，并且非常兼容1C。先进的数据处理将用于 产生不同的响应模式并检测气体混合物中的单个化合物。等 两种强大的检测方案沿着智能数据处理的明智集成应该 显著增加收集的个人暴露信息，以提供显著的可靠性沿着 范围广，同时满足分散式检测系统的便携性要求。我们 多学科专业知识、广泛的初步数据和过去成功的合作奠定了基础 对于提议的活动。 总体目标将通过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、表征和测试微加工电流型传感器 阵列3）开发集成微电子技术，以实现最佳的电源管理、数据收集和信号传输 处理和远程通信，4）将电导和电流传感器阵列集成在一个 具有结合的微电子器件的单个平台，以及5）通过以下方式测试和验证可穿戴传感器阵列： 在实际暴露条件下实时监测柴油和汽油废气

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 1Ccompatible. 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