PDF(Pubmed)
Abstract：
In recent years, there has been a growing interest in developing portable and personal devices for measuring air quality and surrounding pollutants, partly due to the need for ventilation in the aftermath of COVID-19 situation. Moreover, the monitoring of hazardous chemical agents is a focus for ensuring compliance with safety standards and is an indispensable component in safeguarding human welfare. Air quality measurement is conducted by public institutions with high precision but costly equipment, which requires constant calibration and maintenance by highly qualified personnel for its proper operation. Such devices, used as reference stations, have a low spatial resolution since, due to their high cost, they are usually located in a few fixed places in the city or region to be studied. However, they also have a low temporal resolution, providing few samples per hour. To overcome these drawbacks and to provide people with personalized and up-to-date air quality information, a personal device (smartwatch) based on MEMS gas sensors has been developed. The methodology followed to validate the performance of the prototype was as follows: firstly, the detection capability was tested by measuring carbon dioxide and methane at different concentrations, resulting in low detection limits; secondly, several experiments were performed to test the discrimination capability against gases such as toluene, xylene, and ethylbenzene. principal component analysis of the data showed good separation and discrimination between the gases measured.
摘要：
近年来,人们对开发用于测量空气质量和周围污染物的便携式和个人设备越来越感兴趣，部分原因是在COVID-19病例发生后需要通风。此外，危险化学制剂的监测是确保遵守安全标准的重点，也是保障人类福祉不可或缺的组成部分。空气质量测量由公共机构使用高精度但设备昂贵的设备进行，这需要由高素质的人员不断校准和维护其正常运行。这样的设备，用作参考站，具有较低的空间分辨率，由于他们的高成本，他们通常位于城市或地区的几个固定地点。然而,它们的时间分辨率也很低，每小时提供少量样品。为了克服这些缺点，并为人们提供个性化和最新的空气质量信息，已经开发了基于MEMS气体传感器的个人设备(智能手表)。验证原型性能的方法如下：首先，通过测量不同浓度的二氧化碳和甲烷来测试检测能力，导致低检测限；其次，进行了几个实验来测试对甲苯等气体的辨别能力，二甲苯,和乙苯.数据的主成分分析显示，测得的气体之间具有良好的分离和区分性。
