On-field test and data calibration of a low-cost sensor for fine particles exposure assessment.
Ecotoxicol Environ Saf
; 211: 111958, 2021 Mar 15.
Article
en En
| MEDLINE
| ID: mdl-33503545
ABSTRACT
BACKGROUND:
Accurate individual exposure assessment is crucial for evaluating the health effects of particulate matter (PM). Various portable monitors built upon low-cost optical sensors have emerged. However, the main challenge for their application is to guarantee accuracy of measurements.OBJECTIVE:
To assess the performance of a newly developed PM sensor, and to develop methods for post-hoc data calibration to optimize its data quality.METHOD:
We conducted a series of laboratory experiments and field evaluations to quantify the reproducibility within Plantower PM sensors 7003 (PMS 7003) and the consistency between sensors and two established PM2.5 measurement methods [tapered element oscillating microbalances (TEOM) and gravimetric method (GM)]. Post-hoc data calibration methods for sensors were based on a multiple linear regression model (MLRM) and a random forest model (RFM). Ratios of raw and calibrated readings over the data of reference methods were calculated to examine the improvement after calibration.RESULTS:
Strong correlations (≥0.82) and relatively small relative standard deviations (16-21%) between sensors were found during the laboratory and the field sampling. Compared with the reference methods, moderate to strong coefficients of determination (0.56-0.83) were observed; however, significant deviations were presented. After calibration, the ratios of PMS measurements over that of two reference methods both became convergent.CONCLUSIONS:
Our study validated low-cost optical PM sensors under a wide range of PM2.5 concentrations (8-167 µg/m3). Our findings indicated potential applicability of PM sensors in PM2.5 exposure assessment, and confirmed a need of calibration. Linear calibration methods may be sufficient for ambient monitoring using TEOM as a reference, while nonlinear calibration methods may be more appropriate for indoor monitoring using GM as a reference.Palabras clave
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Bases de datos:
MEDLINE
Asunto principal:
Monitoreo del Ambiente
/
Contaminantes Atmosféricos
Tipo de estudio:
Health_economic_evaluation
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Ecotoxicol Environ Saf
Año:
2021
Tipo del documento:
Article
País de afiliación:
China