Literature DB >> 30563344

Field and Laboratory Evaluations of the Low-Cost Plantower Particulate Matter Sensor.

Misti Levy Zamora1, Fulizi Xiong2, Drew Gentner2, Branko Kerkez3, Joseph Kohrman-Glaser2, Kirsten Koehler1.   

Abstract

Due to the rapid development of low-cost air-quality sensors, a rigorous scientific evaluation has not been conducted for many available sensors. We evaluated three Plantower PMS A003 sensors when exposed to eight particulate matter (PM) sources (i.e., incense, oleic acid, NaCl, talcum powder, cooking emissions, and monodispersed polystyrene latex spheres under controlled laboratory conditions and also residential air and ambient outdoor air in Baltimore, MD). The PM2.5 sensors exhibited a high degree of precision and R2 values greater than 0.86 for all sources, but the accuracy ranged from 13 to >90% compared with reference instruments. The sensors were most accurate for PM with diameters below 1 μm, and they poorly measured PM in the 2.5-5 μm range. The accuracy of the sensors was dependent on relative humidity (RH), with decreases in accuracy at RH > 50%. The sensors were able to produce meaningful data at low and high temperatures and when in motion, as it would be if utilized for outdoor or personal monitoring applications. It was most accurate in environments with polydispersed particle sources and may not be useful in specialized environments or experiments with narrow distributions of PM or aerosols with a large proportion of coarse PM.

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Year:  2019        PMID: 30563344     DOI: 10.1021/acs.est.8b05174

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  26 in total

Review 1.  A Review of Low-Cost Particulate Matter Sensors from the Developers' Perspectives.

Authors:  Brigida Alfano; Luigi Barretta; Antonio Del Giudice; Saverio De Vito; Girolamo Di Francia; Elena Esposito; Fabrizio Formisano; Ettore Massera; Maria Lucia Miglietta; Tiziana Polichetti
Journal:  Sensors (Basel)       Date:  2020-11-29       Impact factor: 3.576

2.  Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea.

Authors:  Chris C Lim; Ho Kim; M J Ruzmyn Vilcassim; George D Thurston; Terry Gordon; Lung-Chi Chen; Kiyoung Lee; Michael Heimbinder; Sun-Young Kim
Journal:  Environ Int       Date:  2019-07-27       Impact factor: 9.621

3.  Opportunities and Challenges for Filling the Air Quality Data Gap in Low- and Middle-Income Countries.

Authors:  Robert W Pinder; Jacqueline M Klopp; Gary Kleiman; Gayle S W Hagler; Yewande Awe; Sara Terry
Journal:  Atmos Environ (1994)       Date:  2019-06-18       Impact factor: 4.798

4.  One Year Evaluation of Three Low-Cost PM2.5 Monitors.

Authors:  Misti Levy Zamora; Jessica Rice; Kirsten Koehler
Journal:  Atmos Environ (1994)       Date:  2020-05-31       Impact factor: 4.798

5.  Statistical field calibration of a low-cost PM2.5 monitoring network in Baltimore.

Authors:  Abhirup Datta; Arkajyoti Saha; Misti Levy Zamora; Colby Buehler; Lei Hao; Fulizi Xiong; Drew R Gentner; Kirsten Koehler
Journal:  Atmos Environ (1994)       Date:  2020-07-22       Impact factor: 4.798

6.  Evaluating the Performance of Using Low-Cost Sensors to Calibrate for Cross-Sensitivities in a Multipollutant Network.

Authors:  Misti Levy Zamora; Colby Buehler; Hao Lei; Abhirup Datta; Fulizi Xiong; Drew R Gentner; Kirsten Koehler
Journal:  ACS ES T Eng       Date:  2022-04-11

7.  Development and Application of a United States wide correction for PM2.5 data collected with the PurpleAir sensor.

Authors:  Karoline K Barkjohn; Brett Gantt; Andrea L Clements
Journal:  Atmos Meas Tech       Date:  2021-06-22       Impact factor: 4.184

8.  Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study.

Authors:  Marina Zusman; Cooper S Schumacher; Amanda J Gassett; Elizabeth W Spalt; Elena Austin; Timothy V Larson; Graeme Carvlin; Edmund Seto; Joel D Kaufman; Lianne Sheppard
Journal:  Environ Int       Date:  2019-11-26       Impact factor: 9.621

9.  Publicly available low-cost sensor measurements for PM2.5 exposure modeling: Guidance for monitor deployment and data selection.

Authors:  Jianzhao Bi; Nancy Carmona; Magali N Blanco; Amanda J Gassett; Edmund Seto; Adam A Szpiro; Timothy V Larson; Paul D Sampson; Joel D Kaufman; Lianne Sheppard
Journal:  Environ Int       Date:  2021-09-30       Impact factor: 9.621

10.  Residential cooking-related PM2.5: Spatial-temporal variations under various intervention scenarios.

Authors:  Jianbang Xiang; Jiayuan Hao; Elena Austin; Jeff Shirai; Edmund Seto
Journal:  Build Environ       Date:  2021-05-28       Impact factor: 7.093

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