Literature DB >> 31389929

Design and evaluation of a portable PM2.5 monitor featuring a low-cost sensor in line with an active filter sampler.

Jessica Tryner1, Casey Quinn, Bret C Windom, John Volckens.   

Abstract

Fine particulate air pollution (PM2.5) is a health hazard with numerous indoor and outdoor sources. Versatile monitors are needed to characterize PM2.5 sources, concentrations, and exposures in a range of locations and applications. Whereas low-cost light-scattering PM sensors provide real-time measurements with limited accuracy, gravimetric samples provide more accurate, albeit time-integrated, measurements. When used together, low-cost sensor data can be corrected to gravimetric samples. Here we describe the development of a portable PM2.5 monitor that features a low-cost sensor in line with an active filter sampler. Laboratory tests were conducted to determine (1) the accuracy and precision of PM2.5 concentrations derived from the filter sample and (2) correction factors for the low-cost sensor response to ammonium sulfate, Arizona road dust, urban particulate matter, and match smoke. Filter samples collected at 0.25 and 1.0 L min-1 had mean biases of -10% and -4%, relative to a tapered element oscillating microbalance, and a relative standard deviation (RSD) that ranged from 1% to 17%. The low-cost sensor correction factor varied with the test aerosol, sample flow rate, and between individual monitors. Gravimetric correction reduced the bias and RSD of ∼1 hour average concentrations measured by low-cost sensors in three collocated monitors. A week-long field experiment was also conducted to investigate how the monitor could be used to learn about sources of residential air pollution. Field data were used to identify: (1) pollution events resulting from cooking and use of a wood furnace and (2) variations in the number of air changes per hour inside the residence.

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Year:  2019        PMID: 31389929     DOI: 10.1039/c9em00234k

Source DB:  PubMed          Journal:  Environ Sci Process Impacts        ISSN: 2050-7887            Impact factor:   4.238


  7 in total

1.  Bayesian Nonparametric Monotone Regression.

Authors:  Ander Wilson; Jessica Tryner; Christian L'Orange; John Volckens
Journal:  Environmetrics       Date:  2020-06-08       Impact factor: 1.527

2.  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

3.  Exploring Evaluation Variables for Low-Cost Particulate Matter Monitors to Assess Occupational Exposure.

Authors:  Sander Ruiter; Eelco Kuijpers; John Saunders; John Snawder; Nick Warren; Jean-Philippe Gorce; Marcus Blom; Tanja Krone; Delphine Bard; Anjoeka Pronk; Emanuele Cauda
Journal:  Int J Environ Res Public Health       Date:  2020-11-19       Impact factor: 3.390

4.  Assessing the accuracy of low-cost optical particle sensors using a physics-based approach.

Authors:  David H Hagan; Jesse H Kroll
Journal:  Atmos Meas Tech       Date:  2020-11-26       Impact factor: 4.176

5.  Intercomparison of PurpleAir Sensor Performance over Three Years Indoors and Outdoors at a Home: Bias, Precision, and Limit of Detection Using an Improved Algorithm for Calculating PM2.5.

Authors:  Lance Wallace
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

Review 6.  Features and Practicability of the Next-Generation Sensors and Monitors for Exposure Assessment to Airborne Pollutants: A Systematic Review.

Authors:  Giacomo Fanti; Francesca Borghi; Andrea Spinazzè; Sabrina Rovelli; Davide Campagnolo; Marta Keller; Andrea Cattaneo; Emanuele Cauda; Domenico Maria Cavallo
Journal:  Sensors (Basel)       Date:  2021-06-30       Impact factor: 3.576

7.  Miniature Optical Particle Counter and Analyzer Involving a Fluidic-Optronic CMOS Chip Coupled with a Millimeter-Sized Glass Optical System.

Authors:  Gabriel Jobert; Pierre Barritault; Maryse Fournier; Cyrielle Monpeurt; Salim Boutami; Cécile Jamois; Pietro Bernasconi; Andrea Lovera; Daniele Braga; Christian Seassal
Journal:  Sensors (Basel)       Date:  2021-05-03       Impact factor: 3.576

  7 in total

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