ArticleSensors (Basel, Switzerland)2020
How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Impacts of contemporaneous air pollution exposure on cognitive performance in Kenya.Journal of health economics · 2026Article
- Integrating Audiovisual Data for Short-Term Particulate Matter Concentration Prediction on Urban Sidewalks.Environmental science & technology · 2026Article
- Calibration Methods for Low-Cost Particulate Matter Sensors Considering Seasonal Variability.Sensors (Basel, Switzerland) · 2024Article
- AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin.Sensors (Basel, Switzerland) · 2023Article
- Spatial Distribution of PMSensors (Basel, Switzerland) · 2023Article
- Statistical Analysis of the Impact of COVID-19 on PMSensors (Basel, Switzerland) · 2022Article
- Evaluating the Performance of Low-Cost Air Quality Monitors in Dallas, Texas.International journal of environmental research and public health · 2022Article
- Practical Particulate Matter Sensing and Accurate Calibration System Using Low-Cost Commercial Sensors.Sensors (Basel, Switzerland) · 2021Article
- Small-Angle Particle Counting Coupled Photometry for Real-Time Detection of Respirable Particle Size Segmentation Mass Concentration.Sensors (Basel, Switzerland) · 2021Article
- Investigating a Low-Cost Dryer Designed for Low-Cost PM Sensors Measuring Ambient Air Quality.Sensors (Basel, Switzerland) · 2021Article
- Comparison of Low-Cost Particulate Matter Sensors for Indoor Air Monitoring during COVID-19 Lockdown.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Low-cost sensors based on the optical particle counter (OPC) are increasingly being used to collect particulate matter (PM) data at high space and time resolution. In spite of their huge explorative potential, practical guidelines and recommendations for their use are still limited. In this work, we outline a few best practices for the optimal use of PM low-cost sensors based on the results of an intensive field campaign performed in Bologna (44°30' N, 11°21' E; Italy) under different weather conditions. Briefly, the performances of a series of sensors were evaluated against a calibrated mainstream OPC with a heated inlet, using a robust approach based on a suite of statistical indexes capable of evaluating both correlations and biases in respect to the reference sensor. Our results show that the sensor performance is sensibly affected by both time resolution and weather with biases maximized at high time resolution and high relative humidity. Optimization of PM data obtained is therefore achievable by lowering time resolution and applying suitable correction factors for hygroscopic growth based on the inherent particle size distribution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.