Industrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.
Sensors (Basel). 2024 Jun 12;24(12):3808. doi: 10.3390/s24123808.
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.
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 COVID-19 疫情后需要通风。此外,监测危险化学剂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。空气质量测量由具有高精度但昂贵设备的公共机构进行,这些设备需要由高素质人员进行定期校准和维护,以确保其正常运行。这些作为参考站使用的设备空间分辨率较低,因为由于成本高,它们通常位于要研究的城市或地区的少数几个固定地点。但是,它们的时间分辨率也较低,每小时提供的样本很少。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,已经开发出了一种基于 MEMS 气体传感器的个人设备(智能手表)。为了验证原型的性能,我们采用了以下方法: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,结果表明检测限较低;其次,进行了多项实验来测试对甲苯、二甲苯和乙苯等气体的区分能力。数据分析的主成分分析表明,所测量的气体之间具有良好的分离和区分能力。