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Impact Analysis of Temperature and Humidity Conditions on Electrochemical Sensor Response in Ambient Air Quality Monitoring

机译：温度和湿度条件对环境空气质量监测中电化学传感器响应的影响分析

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The increasing applications of low-cost air sensors promises more convenient and cost-effective systems for air monitoring in many places and under many conditions. However, the data quality from such systems has not been fully characterized and may not meet user expectations in research and regulatory uses, or for use in citizen science. In our study, electrochemical sensors (Alphasense B4 series) for carbon monoxide (CO), nitric oxide (NO), nitrogen dioxide (NO2), and oxidants (Ox) were evaluated under controlled laboratory conditions to identify the influencing factors and quantify their relation with sensor outputs. Based on the laboratory tests, we developed different correction methods to compensate for the impact of ambient conditions. Further, the sensors were assembled into a monitoring system and tested in ambient conditions in Hong Kong side-by-side with regulatory reference monitors, and data from these tests were used to evaluate the performance of the models, to refine them, and validate their applicability in variable ambient conditions in the field. The more comprehensive correction models demonstrated enhanced performance when compared with uncorrected data. One over-arching observation of this study is that the low-cost sensors may promise excellent sensitivity and performance, but it is essential for users to understand and account for several key factors that may strongly affect the nature of sensor data. In this paper, we also evaluated factors of multi-month stability, temperature, and humidity, and considered the interaction of oxidant gases NO2 and ozone on a newly introduced oxidant sensor.
机译：低成本空气传感器的日益增长的应用有望在许多地方和许多条件下为空气监测提供更方便和更具成本效益的系统。但是，此类系统的数据质量尚未得到充分表征，可能无法满足用户在研究和监管用途或在公民科学中的期望。在我们的研究中，对一氧化碳（CO），一氧化氮（NO），二氧化氮（NO2）和氧化剂（Ox）的电化学传感器（Alphasense B4系列）进行了评估，以识别影响因素并量化它们之间的关系带传感器输出。根据实验室测试，我们开发了不同的校正方法来补偿环境条件的影响。此外，这些传感器被组装到一个监控系统中，并在香港的环境条件下与监管参考监控器并排进行测试，这些测试的数据被用于评估模型的性能，完善模型并验证其性能。在现场可变环境条件下的适用性。与未校正的数据相比，更全面的校正模型显示出增强的性能。这项研究的一个主要结论是，低成本传感器可能具有出色的灵敏度和性能，但对于用户而言，理解并解释可能会严重影响传感器数据性质的几个关键因素至关重要。在本文中，我们还评估了多个月稳定性，温度和湿度的因素，并考虑了新推出的氧化剂传感器上氧化剂气体NO2和臭氧之间的相互作用。

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