Articles | Volume 18, issue 8
https://doi.org/10.5194/amt-18-1771-2025
https://doi.org/10.5194/amt-18-1771-2025
Research article
 | 
24 Apr 2025
Research article |  | 24 Apr 2025

Performance validation and calibration conditions for novel dynamic baseline tracking air sensors in long-term field monitoring

Han Mei, Peng Wei, Meisam Ahmadi Ghadikolaei, Nirmal Kumar Gali, Ya Wang, and Zhi Ning

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Cited articles

Ariyaratne, R., Elangasinghe, M. A., Zamora, M. L., Karunaratne, D. G. G. P., Manipura, A., Jinadasa, K. B. S. N., and Abayalath, K. H. N.: Understanding the effect of temperature and relative humidity on sensor sensitivities in field environments and improving the calibration models of multiple electrochemical carbon monoxide (CO) sensors in a tropical environment, Sensor. Actuat. B-Chem., 390, 133935, https://doi.org/10.1016/j.snb.2023.133935, 2023. 
Bisignano, A., Carotenuto, F., Zaldei, A., and Giovannini, L.: Field calibration of a low-cost sensors network to assess traffic-related air pollution along the Brenner highway, Atmos. Environ., 275, 119008, https://doi.org/10.1016/j.atmosenv.2022.119008, 2022. 
Castell, N., Dauge, F. R., Schneider, P., Vogt, M., Lerner, U., Fishbain, B., Broday, D., and Bartonova, A.: Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?, Environ. Int., 99, 293–302, https://doi.org/10.1016/j.envint.2016.12.007, 2017. 
Collier-Oxandale, A., Feenstra, B., Papapostolou, V., Zhang, H., Kuang, M., Der Boghossian, B., and Polidori, A.: Field and laboratory performance evaluations of 28 gas-phase air quality sensors by the AQ-SPEC program, Atmos. Environ., 220, 117092, https://doi.org/10.1016/j.atmosenv.2019.117092, 2020. 
Cross, E. S., Williams, L. R., Lewis, D. K., Magoon, G. R., Onasch, T. B., Kaminsky, M. L., Worsnop, D. R., and Jayne, J. T.: Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements, Atmos. Meas. Tech., 10, 3575–3588, https://doi.org/10.5194/amt-10-3575-2017, 2017. 
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Long-term field testing across diverse climatic environments is conducted to identify the optimized calibration conditions for NO2, NO, CO and O3 electrochemical sensors. The results uncovered three factors that influence calibration performance: calibration period, concentration range and time averaging. We developed a comprehensive framework for the best sensor calibration practices, which serves as a valuable reference for calibrating various sensor types used in air quality monitoring.
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