Identifying and addressing long-term Alphasense OPC-N3 sensor degradation

Abstract. Low-cost optical particle counters are increasingly used for long-term particulate matter (PM) monitoring, but their long-term performance remains poorly understood. This study evaluates the field performance of six Alphasense OPC-N3 sensors colocated with Federal Equivalent Method (FEM) instruments in Salt Lake City, Utah, over deployment periods ranging from 5 to 24 months. It develops seasonal PM10 correction models. However, the performance of the correction models for the three longest-deployed sensors exhibits progressive degradation after approximately 10–12 months, with correction model slopes increasing by up to sevenfold. In contrast, colocated Plantower PMS5003T sensors show no comparable long-term degradation in PM2.5 measurements. Comparison of OPC-N3s deployed for more than 12 months in the field with those for less than 3 months in the field reveals substantial differences in PM10 response, with old-versus-new comparisons yielding an average slope of 0.18, compared with 0.72 for old-versus-old and new-versus-new comparisons. Post-deployment laboratory evaluations identify irreversible corrosion of the OPC-N3’s internal elliptical mirror in the most degraded OPC-N3 sensor, with corresponding laboratory regression slope increases of more than an order of magnitude compared to pre-deployment evaluation. Mirror replacement substantially improves laboratory performance, suggesting that mirror replacement is a potential pathway to recover performance. Additionally, we observe a 56.3% decrease in the OPC-N3 PM2.5-to-PMS5003T PM2.5 ratio within the first year for the three longest-deployed sensors, suggesting that this ratio may provide a practical indicator of OPC-N3 sensor degradation when FEM measurements are unavailable. These results provide the first evidence linking long-term OPC-N3 performance degradation to internal mirror corrosion and demonstrate that sensor performance can decline substantially after approximately one year of deployment.

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Publication Details

Published
2026-10-27
DOI
https://doi.org/10.5194/egusphere-2026-5266
Primary Topic
Air Quality Monitoring and Forecasting
Type
preprint

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preprint

Identifying and addressing long-term Alphasense OPC-N3 sensor degradation

Kamaljeet Kaur, Alex Mass, Kerry E. Kelly, Tristalee Mangin et al.
Air Quality Monitoring and Forecasting
preprint

Identifying and addressing long-term Alphasense OPC-N3 sensor degradation

Kamaljeet Kaur, Alex Mass, Kerry E. Kelly, Tristalee Mangin, Nancy Daher, Dustin Reitstetter, Yiqing Meng, Raven Reitstetter, Dillon Tang, Aaron Hanson
preprint en

Abstract

Abstract. Low-cost optical particle counters are increasingly used for long-term particulate matter (PM) monitoring, but their long-term performance remains poorly understood. This study evaluates the field performance of six Alphasense OPC-N3 sensors colocated with Federal Equivalent Method (FEM) instruments in Salt Lake City, Utah, over deployment periods ranging from 5 to 24 months. It develops seasonal PM10 correction models. However, the performance of the correction models for the three longest-deployed sensors exhibits progressive degradation after approximately 10–12 months, with correction model slopes increasing by up to sevenfold. In contrast, colocated Plantower PMS5003T sensors show no comparable long-term degradation in PM2.5 measurements. Comparison of OPC-N3s deployed for more than 12 months in the field with those for less than 3 months in the field reveals substantial differences in PM10 response, with old-versus-new comparisons yielding an average slope of 0.18, compared with 0.72 for old-versus-old and new-versus-new comparisons. Post-deployment laboratory evaluations identify irreversible corrosion of the OPC-N3’s internal elliptical mirror in the most degraded OPC-N3 sensor, with corresponding laboratory regression slope increases of more than an order of magnitude compared to pre-deployment evaluation. Mirror replacement substantially improves laboratory performance, suggesting that mirror replacement is a potential pathway to recover performance. Additionally, we observe a 56.3% decrease in the OPC-N3 PM2.5-to-PMS5003T PM2.5 ratio within the first year for the three longest-deployed sensors, suggesting that this ratio may provide a practical indicator of OPC-N3 sensor degradation when FEM measurements are unavailable. These results provide the first evidence linking long-term OPC-N3 performance degradation to internal mirror corrosion and demonstrate that sensor performance can decline substantially after approximately one year of deployment.

University of Utah (US)
National Science Foundation, U.S. Environmental Protection Agency
Air Quality Monitoring and Forecasting
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