$Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements.$
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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
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6cdf54e017e245a8a2cd2756f92e998b
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spelling	oai:doaj.org-article:6cdf54e017e245a8a2cd2756f92e998b2021-12-02T20:07:37ZAssessing 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.1932-620310.1371/journal.pone.0259745https://doaj.org/article/6cdf54e017e245a8a2cd2756f92e998b2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259745https://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, p e0259745 (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/6cdf54e017e245a8a2cd2756f92e998b
work_keys_str_mv	AT chinghsuanhuang assessingthevalueofcomplexrefractiveindexandparticledensityforcalibrationoflowcostparticlemattersensorforsizeresolvedparticlecountandpm25measurements AT jiayanghe assessingthevalueofcomplexrefractiveindexandparticledensityforcalibrationoflowcostparticlemattersensorforsizeresolvedparticlecountandpm25measurements AT elenaaustin assessingthevalueofcomplexrefractiveindexandparticledensityforcalibrationoflowcostparticlemattersensorforsizeresolvedparticlecountandpm25measurements AT edmundseto assessingthevalueofcomplexrefractiveindexandparticledensityforcalibrationoflowcostparticlemattersensorforsizeresolvedparticlecountandpm25measurements AT igornovosselov assessingthevalueofcomplexrefractiveindexandparticledensityforcalibrationoflowcostparticlemattersensorforsizeresolvedparticlecountandpm25measurements
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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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