{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T01:08:28Z","timestamp":1728176908541},"reference-count":38,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T00:00:00Z","timestamp":1623888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"Low-cost optical particle counters effectively measure particulate matter (PM) mass concentrations once calibrated. Sensor calibration can be established by deriving a linear regression model by performing side-by-side measurements with a reference instrument. However, calibration differences between environmental and occupational settings have not been demonstrated. This study evaluated four commercially available, low-cost PM sensors (OPC-N3, SPS30, AirBeam2, and PMS A003) in both settings. The mass concentrations of three aerosols (salt, Arizona road dust, and Poly-alpha-olefin-4 oil) were measured and compared with a reference instrument. OPC-N3 and SPS30 were highly correlated (r = 0.99) with the reference instrument for all aerosol types in environmental settings. In occupational settings, SPS30, AirBeam2, and PMS A003 exhibited high correlation (>0.96), but the OPC-N3 correlation varied (r = 0.88\u20131.00). Response significantly (p < 0.001) varied between environmental and occupational settings for most particle sizes and aerosol types. Biases varied by particle size and aerosol type. SPS30 and OPC-N3 exhibited low bias for environmental settings, but all of the sensors showed a high bias for occupational settings. For intra-instrumental precision, SPS30 exhibited high precision for salt for both settings compared to the other low-cost sensors and aerosol types. These findings suggest that SPS30 and OPC-N3 can provide a reasonable estimate of PM mass concentrations if calibrated differently for environmental and occupational settings using site-specific calibration factors.<\/jats:p>","DOI":"10.3390\/s21124146","type":"journal-article","created":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T08:15:46Z","timestamp":1623917746000},"page":"4146","source":"Crossref","is-referenced-by-count":41,"title":["Laboratory Evaluation of Low-Cost Optical Particle Counters for Environmental and Occupational Exposures"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-5524-6911","authenticated-orcid":false,"given":"Sinan","family":"Sousan","sequence":"first","affiliation":[{"name":"Department of Public Health, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA"},{"name":"North Carolina Agromedicine Institute, Greenville, NC 27834, USA"}]},{"given":"Swastika","family":"Regmi","sequence":"additional","affiliation":[{"name":"Environmental Health Sciences Program, Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC 27834, USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1860-4489","authenticated-orcid":false,"given":"Yoo Min","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Geography, Planning, and Environment, East Carolina University, Greenville, NC 27858, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,17]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2021, June 16). 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