Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements

Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements

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Low-cost optical scattering particulate matter (PM) sensors report total or size-specific particle counts and mass concentrations. The PM concentration and size are estimated by the original equipment manufacturer (OEM) proprietary algorithms, which have inherent limitations since particle scatterin...

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Autores principales: Ching-Hsuan Huang, Jiayang He, Elena Austin, Edmund Seto, Igor Novosselov
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/f94369de34aa42258d48f8592fed902e
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spelling oai:doaj.org-article:f94369de34aa42258d48f8592fed902e2021-11-18T08:14:34ZAssessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements1932-6203https://doaj.org/article/f94369de34aa42258d48f8592fed902e2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584671/?tool=EBIhttps://doaj.org/toc/1932-6203Low-cost optical scattering particulate matter (PM) sensors report total or size-specific particle counts and mass concentrations. The PM concentration and size are estimated by the original equipment manufacturer (OEM) proprietary algorithms, which have inherent limitations since particle scattering depends on particles’ properties such as size, shape, and complex index of refraction (CRI) as well as environmental parameters such as temperature and relative humidity (RH). As low-cost PM sensors are not able to resolve individual particles, there is a need to characterize and calibrate sensors’ performance under a controlled environment. Here, we present improved calibration algorithms for Plantower PMS A003 sensor for mass indices and size-resolved number concentration. An aerosol chamber experimental protocol was used to evaluate sensor-to-sensor data reproducibility. The calibration was performed using four polydisperse test aerosols. The particle size distribution OEM calibration for PMS A003 sensor did not agree with the reference single particle sizer measurements. For the number concentration calibration, the linear model without adjusting for the aerosol properties and environmental conditions yields an absolute error (NMAE) of ~ 4.0% compared to the reference instrument. The calibration models adjusted for particle CRI and density account for non-linearity in the OEM’s mass concentrations estimates with NMAE within 5.0%. The calibration algorithms developed in this study can be used in indoor air quality monitoring, occupational/industrial exposure assessments, or near-source monitoring scenarios where field calibration might be challenging.Ching-Hsuan HuangJiayang HeElena AustinEdmund SetoIgor NovosselovPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ching-Hsuan Huang
Jiayang He
Elena Austin
Edmund Seto
Igor Novosselov
Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements
description Low-cost optical scattering particulate matter (PM) sensors report total or size-specific particle counts and mass concentrations. The PM concentration and size are estimated by the original equipment manufacturer (OEM) proprietary algorithms, which have inherent limitations since particle scattering depends on particles’ properties such as size, shape, and complex index of refraction (CRI) as well as environmental parameters such as temperature and relative humidity (RH). As low-cost PM sensors are not able to resolve individual particles, there is a need to characterize and calibrate sensors’ performance under a controlled environment. Here, we present improved calibration algorithms for Plantower PMS A003 sensor for mass indices and size-resolved number concentration. An aerosol chamber experimental protocol was used to evaluate sensor-to-sensor data reproducibility. The calibration was performed using four polydisperse test aerosols. The particle size distribution OEM calibration for PMS A003 sensor did not agree with the reference single particle sizer measurements. For the number concentration calibration, the linear model without adjusting for the aerosol properties and environmental conditions yields an absolute error (NMAE) of ~ 4.0% compared to the reference instrument. The calibration models adjusted for particle CRI and density account for non-linearity in the OEM’s mass concentrations estimates with NMAE within 5.0%. The calibration algorithms developed in this study can be used in indoor air quality monitoring, occupational/industrial exposure assessments, or near-source monitoring scenarios where field calibration might be challenging.
format article
author Ching-Hsuan Huang
Jiayang He
Elena Austin
Edmund Seto
Igor Novosselov
author_facet Ching-Hsuan Huang
Jiayang He
Elena Austin
Edmund Seto
Igor Novosselov
author_sort Ching-Hsuan Huang
title Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements
title_short Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements
title_full Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements
title_fullStr Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements
title_full_unstemmed Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements
title_sort assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and pm2.5 measurements
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/f94369de34aa42258d48f8592fed902e
work_keys_str_mv AT chinghsuanhuang assessingthevalueofcomplexrefractiveindexandparticledensityforcalibrationoflowcostparticlemattersensorforsizeresolvedparticlecountandpm25measurements
AT jiayanghe assessingthevalueofcomplexrefractiveindexandparticledensityforcalibrationoflowcostparticlemattersensorforsizeresolvedparticlecountandpm25measurements
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AT edmundseto assessingthevalueofcomplexrefractiveindexandparticledensityforcalibrationoflowcostparticlemattersensorforsizeresolvedparticlecountandpm25measurements
AT igornovosselov assessingthevalueofcomplexrefractiveindexandparticledensityforcalibrationoflowcostparticlemattersensorforsizeresolvedparticlecountandpm25measurements
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