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

被引:10
|
作者
Ruiter, Sander [1 ]
Kuijpers, Eelco [1 ]
Saunders, John [2 ]
Snawder, John [3 ]
Warren, Nick [2 ]
Gorce, Jean-Philippe [2 ]
Blom, Marcus [1 ]
Krone, Tanja [1 ]
Bard, Delphine [2 ]
Pronk, Anjoeka [1 ]
Cauda, Emanuele [3 ]
机构
[1] Netherlands Org Appl Sci Res TNO, NL-3584 CB Utrecht, Netherlands
[2] HSE Sci & Res Ctr, Harpur Hill, Buxton SK17 9JN, England
[3] NIOSH, Ctr Dis Control & Prevent, 1090 Tusculum Ave, Cincinnati, OH 45226 USA
关键词
low-cost monitors; wearables; sensors; evaluation; occupational; exposure monitoring; particulate matter; AIR; CALIBRATION; SENSORS; AMBIENT;
D O I
10.3390/ijerph17228602
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
(1) Background: Small, lightweight, low-cost optical particulate matter (PM) monitors are becoming popular in the field of occupational exposure monitoring, because these devices allow for real-time static measurements to be collected at multiple locations throughout a work site as well as being used as wearables providing personal exposure estimates. Prior to deployment, devices should be evaluated to optimize and quantify measurement accuracy. However, this can turn out to be difficult, as no standardized methods are yet available and different deployments may require different evaluation procedures. To gain insight in the relevance of different variables that may affect the monitor readings, six PM monitors were selected based on current availability and evaluated in the laboratory; (2) Methods: Existing strategies that were judged appropriate for the evaluation of PM monitors were reviewed and seven evaluation variables were selected, namely the type of dust, within- and between-device variations, nature of the power supply, temperature, relative humidity, and exposure pattern (peak and constant). Each variable was tested and analyzed individually and, if found to affect the readings significantly, included in a final correction model specific to each monitor. Finally, the accuracy for each monitor after correction was calculated; (3) Results: The reference materials and exposure patterns were found to be main factors needing correction for most monitors. One PM monitor was found to be sufficiently accurate at concentrations up to 2000 mu g/m(3) PM2.5, with other monitors appropriate at lower concentrations. The average accuracy increased by up to three-fold compared to when the correction model did not include evaluation variables; (4) Conclusions: Laboratory evaluation and readings correction can greatly increase the accuracy of PM monitors and set boundaries for appropriate use. However, this requires identifying the relevant evaluation variables, which are heavily reliant on how the monitors are used in the workplace. This, together with the lack of current consensus on standardized procedures, shows the need for harmonized PM monitor evaluation methods for occupational exposure monitoring.
引用
收藏
页码:1 / 18
页数:18
相关论文
共 50 条
  • [21] Preliminary research for low-cost particulate matter sensor network
    Bathory, Csongor
    Kiss, Marton L.
    Trohak, Attila
    Dobo, Zsolt
    Palotas, Arpad Bence
    11TH CONFERENCE ON INTERDISCIPLINARY PROBLEMS IN ENVIRONMENTAL PROTECTION AND ENGINEERING (EKO-DOK 2019), 2019, 100
  • [22] Field evaluation of low-cost particulate matter sensors in high-and low-concentration environments
    Zheng, Tongshu
    Bergin, Michael H.
    Johnson, Karoline K.
    Tripathi, Sachchida N.
    Shirodkar, Shilpa
    Landis, Matthew S.
    Sutaria, Ronak
    Carlson, David E.
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2018, 11 (08) : 4823 - 4846
  • [23] Spatiotemporal modeling of occupational particulate matter using personal low-cost sensor and indoor location tracking data
    Ruiter, Sander
    Franken, Remy
    Krone, Tanja
    Le Feber, Maaike
    Gunnink, Jan
    Kuijpers, Eelco
    Peters, Susan
    Vermeulen, Roel
    Pronk, Anjoeka
    JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE, 2024, 21 (10) : 696 - 708
  • [24] A Low-Cost Device for Bulk Sampling of Airborne Particulate Matter: Evaluation of an Ionic Charging Device
    Afshar-Mohajer, Nima
    Godfrey, Wesley H.
    Rule, Ana M.
    Matsui, Elizabeth C.
    Gordon, Julian
    Koehler, Kirsten
    AEROSOL AND AIR QUALITY RESEARCH, 2017, 17 (06) : 1452 - 1462
  • [25] Long-term field evaluation of the Plantower PMS low-cost particulate matter sensors
    Sayahi, T.
    Butterfield, A.
    Kelly, K. E.
    ENVIRONMENTAL POLLUTION, 2019, 245 : 932 - 940
  • [26] Calibration and Evaluation of a Low-Cost Optical Particulate Matter Sensor for Measurement of Lofted Lunar Dust
    Vidwans, Abhay
    Gillis-Davis, Jeffrey
    Biswas, Pratim
    IEEE SENSORS JOURNAL, 2024, 24 (08) : 12472 - 12480
  • [27] Evaluation of consumer monitors to measure particulate matter
    Sousan, Sinan
    Koehler, Kirsten
    Hallett, Laura
    Peters, Thomas M.
    JOURNAL OF AEROSOL SCIENCE, 2017, 107 : 123 - 133
  • [28] Evaluation and calibration of low-cost particulate matter sensors for respirable coal mine dust monitoring
    Feng, Zikang
    Zheng, Lina
    Zhang, Xuehan
    Liu, Jia
    Xue, Ning
    Wang, Mengmeng
    AEROSOL SCIENCE AND TECHNOLOGY, 2024, 58 (02) : 158 - 169
  • [29] Laboratory Evaluation of the Shinyei PPD42NS Low-Cost Particulate Matter Sensor
    Austin, Elena
    Novosselov, Igor
    Seto, Edmund
    Yost, Michael G.
    PLOS ONE, 2015, 10 (09):
  • [30] Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors
    Kuula, Joel
    Makela, Timo
    Aurela, Minna
    Teinila, Kimmo
    Varjonen, Samu
    Gonzalez, Oscar
    Timonen, Hilkka
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2020, 13 (05) : 2413 - 2423