Literature DB >> 29136129

Comparison of Respirable Mass Concentrations Measured by a Personal Dust Monitor and a Personal DataRAM to Gravimetric Measurements.

Andrew Halterman1, Sinan Sousan2, Thomas M Peters2.   

Abstract

In 2016, the Mine Safety and Health Administration required the use of continuous monitors to measure respirable dust in mines and better protect miner health. The Personal Dust Monitor, PDM3700, has met stringent performance criteria for this purpose. In a laboratory study, respirable mass concentrations measured with the PDM3700 and a photometer (personal DataRam, pDR-1500) were compared to those measured gravimetrically for five aerosols of varying refractive index and density (diesel exhaust fume, welding fume, coal dust, Arizona road dust (ARD), and salt [NaCl] aerosol) at target concentrations of 0.38, 0.75, and 1.5 mg m-3. For all aerosols except coal dust, strong, near-one-to-one, linear relationships were observed between mass concentrations measured with the PDM3700 and gravimetrically (diesel fume, slope = 0.99, R2 = 0.99; ARD, slope = 0.98, R2 = 0.99; and NaCl, slope = 0.95, R2 = 0.99). The slope deviated substantially from unity for coal dust (slope = 0.55; R2 = 0.99). Linear relationships were also observed between mass concentrations measured with the pDR-1500 and gravimetrically, but one-to-one behavior was not exhibited (diesel fume, slope = 0.23, R2 = 0.76; coal dust, slope = 0.54, R2 = 0.99; ARD, slope = 0.61, R2 = 0.99; NaCl, slope = 1.14, R2 = 0.98). Unlike the pDR-1500, mass concentrations measured with the PDM3700 appear independent of refractive index and density, suggesting that it could have applications in a variety of occupational settings.
© The Author(s) 2017. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.

Entities:  

Keywords:  PDM3600; PDM3700; Personal Dust Monitor; density; gravimetric methods; occupational aerosols; pDR-1500; personal DataRAM; refractive index

Mesh:

Substances:

Year:  2017        PMID: 29136129      PMCID: PMC6354670          DOI: 10.1093/annweh/wxx083

Source DB:  PubMed          Journal:  Ann Work Expo Health        ISSN: 2398-7308            Impact factor:   2.179


  2 in total

1.  Feasibility of low-cost particle sensor types in long-term indoor air pollution health studies after repeated calibration, 2019-2021.

Authors:  Elle Anastasiou; M J Ruzmyn Vilcassim; John Adragna; Emily Gill; Albert Tovar; Lorna E Thorpe; Terry Gordon
Journal:  Sci Rep       Date:  2022-08-26       Impact factor: 4.996

2.  Sensor Selection to Improve Estimates of Particulate Matter Concentration from a Low-Cost Network.

Authors:  Sinan Sousan; Alyson Gray; Christopher Zuidema; Larissa Stebounova; Geb Thomas; Kirsten Koehler; Thomas Peters
Journal:  Sensors (Basel)       Date:  2018-09-08       Impact factor: 3.576

  2 in total

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