A multi-analyte device for air quality monitoring

描述(申请人提供)：空气质素影响我们每个人的健康和福祉，特别是患有慢性呼吸系统疾病的人。急性接触致死水平的危险材料每年会导致数百万起事故，而不被注意的长期接触较低水平的化学物质会影响更多的人。已经开发了各种技术来监测空气质量，但没有一种技术能够在用户友好的情况下检测多种化学物质 和实惠的方式。该项目将专注于创建一种用于监测个人环境暴露的集成多分析设备。目标分析对象包括臭氧、二氧化氮、二氧化硫和甲醛，这些污染物被环境保护局、世界卫生组织和职业安全与健康管理局确定为室内和室外的主要污染物。如果成功开发和验证这种设备，将对保护工人、减少环境疾病触发因素和预防呼吸道疾病产生深远影响。该项目将汇集TF Health Co.和亚利桑那州立大学生物设计研究所生物电子和生物传感器中心在化学传感器开发和商业化方面的优势。在第一阶段，团队将1)开发基于分层传感材料的传感元件，2)优化传感元件以实现对高湿度和高温的耐受，3)开发自适应采样算法以实现连续监测能力。在第二阶段，我们将1)将传感元件与数字电路、光电检测室、采样系统和软件集成在一起，2)使用标准分析设备进行严格的分析验证，3)在室内和室外环境下进行中试现场测试。

DESCRIPTION (provided by applicant): Air quality affects the health and well-being of each of us, especially those with chronic respiratory diseases. Acute exposure to fatal levels of hazard materials causes millions of accidents every year, and unnoticed long- term exposure to lower levels of chemicals affect far more people. Various technologies have been developed to monitor air quality, but none of them is capable of detecting multiple chemicals in a user-friendly and affordable manner. This project will focus on creating an integrated multi-analyte device for monitoring personal environmental exposure. The target analytes include ozone, nitrogen dioxide, sulfur dioxide, and formaldehyde, which are identified as major indoor and outdoor pollutants by Environmental Protection Agency, World Health Organization, and Occupational Safety and Health Administration. Such a device, if successfully developed and validated, will have a profound impact on the protection of workers, reduction of environmental disease triggers, and prevention of respiratory diseases. The project will bring together strengthens in chemical sensor development and commercialization from TF Health Co., and Center for Bioelectronics and Biosensors, the Biodesign Institute, at Arizona State University. In phase I, the team will 1) develop sensing elements based on hierarchical sensing materials, 2) optimize the sensing elements to achieve high humidity and temperature tolerance, and 3) develop an adaptive sampling algorithm to achieve continuous monitoring capability. In phase II, we will 1) integrate the sensing elements together with digital circuits, optoelectronic detection chamber, sampling system, and software, 2) perform rigorous analytical validation with standard analytical equipment, and 3) perform pilot field tests under both indoor and outdoor settings.