PMID- 33503545
OWN - NLM
STAT- MEDLINE
DCOM- 20210211
LR  - 20210211
IS  - 1090-2414 (Electronic)
IS  - 0147-6513 (Linking)
VI  - 211
DP  - 2021 Mar 15
TI  - On-field test and data calibration of a low-cost sensor for fine particles 
      exposure assessment.
PG  - 111958
LID - S0147-6513(21)00069-5 [pii]
LID - 10.1016/j.ecoenv.2021.111958 [doi]
AB  - 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 PM(2.5) 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 PM(2.5) 
      concentrations (8-167 mug/m(3)). Our findings indicated potential applicability of 
      PM sensors in PM(2.5) 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.
CI  - Copyright (c) 2021 The Authors. Published by Elsevier Inc. All rights reserved.
FAU - Jiang, Yixuan
AU  - Jiang Y
AD  - School of Public Health, Key Lab of Public Health Safety of the Ministry of 
      Education and NHC Key Lab of Health Technology Assessment, Fudan University, 
      Shanghai 200032, China.
FAU - Zhu, Xinlei
AU  - Zhu X
AD  - School of Public Health, Key Lab of Public Health Safety of the Ministry of 
      Education and NHC Key Lab of Health Technology Assessment, Fudan University, 
      Shanghai 200032, China.
FAU - Chen, Chen
AU  - Chen C
AD  - School of Public Health, Key Lab of Public Health Safety of the Ministry of 
      Education and NHC Key Lab of Health Technology Assessment, Fudan University, 
      Shanghai 200032, China.
FAU - Ge, Yihui
AU  - Ge Y
AD  - School of Public Health, Key Lab of Public Health Safety of the Ministry of 
      Education and NHC Key Lab of Health Technology Assessment, Fudan University, 
      Shanghai 200032, China.
FAU - Wang, Weidong
AU  - Wang W
AD  - School of Public Health, Key Lab of Public Health Safety of the Ministry of 
      Education and NHC Key Lab of Health Technology Assessment, Fudan University, 
      Shanghai 200032, China.
FAU - Zhao, Zhuohui
AU  - Zhao Z
AD  - School of Public Health, Key Lab of Public Health Safety of the Ministry of 
      Education and NHC Key Lab of Health Technology Assessment, Fudan University, 
      Shanghai 200032, China.
FAU - Cai, Jing
AU  - Cai J
AD  - School of Public Health, Key Lab of Public Health Safety of the Ministry of 
      Education and NHC Key Lab of Health Technology Assessment, Fudan University, 
      Shanghai 200032, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory 
      of Meteorology and Health, Shanghai 200030, China. Electronic address: 
      jingcai@fudan.edu.cn.
FAU - Kan, Haidong
AU  - Kan H
AD  - School of Public Health, Key Lab of Public Health Safety of the Ministry of 
      Education and NHC Key Lab of Health Technology Assessment, Fudan University, 
      Shanghai 200032, China; Children's Hospital of Fudan University, National Center 
      for Children's Health, Shanghai 201102, China. Electronic address: 
      kanh@fudan.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20210125
PL  - Netherlands
TA  - Ecotoxicol Environ Saf
JT  - Ecotoxicology and environmental safety
JID - 7805381
RN  - 0 (Air Pollutants)
RN  - 0 (Particulate Matter)
SB  - IM
MH  - Air Pollutants/*analysis
MH  - Calibration
MH  - Environmental Monitoring/*instrumentation/methods
MH  - Humans
MH  - Laboratories
MH  - Linear Models
MH  - Particulate Matter/analysis
MH  - Reproducibility of Results
OTO - NOTNLM
OT  - Calibration
OT  - Exposure assessment
OT  - Fine particulate matter
OT  - Low-cost sensor
OT  - Random forest
EDAT- 2021/01/28 06:00
MHDA- 2021/02/12 06:00
CRDT- 2021/01/27 20:08
PHST- 2020/09/28 00:00 [received]
PHST- 2021/01/09 00:00 [revised]
PHST- 2021/01/17 00:00 [accepted]
PHST- 2021/01/28 06:00 [pubmed]
PHST- 2021/02/12 06:00 [medline]
PHST- 2021/01/27 20:08 [entrez]
AID - S0147-6513(21)00069-5 [pii]
AID - 10.1016/j.ecoenv.2021.111958 [doi]
PST - ppublish
SO  - Ecotoxicol Environ Saf. 2021 Mar 15;211:111958. doi: 
      10.1016/j.ecoenv.2021.111958. Epub 2021 Jan 25.