Literature DB >> 25636081

Evaluation of Diffuse Reflection Infrared Spectrometry for End-of-Shift Measurement of α-quartz in Coal Dust Samples.

Arthur L Miller1, Nathaniel C Murphy, Sean J Bayman, Zachary P Briggs, Andrew D Kilpatrick, Courtney A Quinn, Mackenzie R Wadas, Emanuele G Cauda, Peter R Griffiths.   

Abstract

The inhalation of toxic substances is a major threat to the health of miners, and dust containing respirable crystalline silica (α-quartz) is of particular concern, due to the recent rise in cases of coal workers' pneumoconiosis and silicosis in some U.S. mining regions. Currently, there is no field-portable instrument that can measure airborne α-quartz and give miners timely feedback on their exposure. The U.S. National Institute for Occupational Safety and Health (NIOSH) is therefore conducting studies to investigate technologies capable of end-of-shift or real-time measurement of airborne quartz. The present study focuses on the potential application of Fourier transform infrared (FT-IR) spectrometry conducted in the diffuse reflection (DR) mode as a technique for measuring α-quartz in respirable mine dust. A DR accessory was used to analyze lab-generated respirable samples of Min-U-Sil 5 (which contains more than 90% α-quartz) and coal dust, at mass loadings in the ranges of 100-600 μg and 600-5300 μg, respectively. The dust samples were deposited onto three different types of filters, borosilicate fiberglass, nylon, and polyvinyl chloride (PVC). The reflectance, R, was calculated by the ratio of a blank filter and a filter with deposited mine dust. Results suggest that for coal and pure quartz dusts deposited on 37 mm PVC filters, measurements of -log R correlate linearly with known amounts of quartz on filters, with R(2) values of approximately 0.99 and 0.94, respectively, for samples loaded up to ∼4000 μg. Additional tests were conducted to measure quartz in coal dusts deposited onto the borosilicate fiberglass and nylon filter media used in the NIOSH-developed Personal Dust Monitor (PDM). The nylon filter was shown to be amenable to DR analysis, but quantification of quartz is more accurate when the filter is "free," as opposed to being mounted in the PDM filter holder. The borosilicate fiberglass filters were shown to produce excessive interference, making quartz quantification impossible. It was concluded that, while the DR/FT-IR method is potentially useful for on-filter measurement of quartz in dust samples, the use of PVC filters produced the most accurate results.

Entities:  

Keywords:  coal dust; diffuse reflection spectrometry; silica; α-quartz

Mesh:

Substances:

Year:  2015        PMID: 25636081      PMCID: PMC4681494          DOI: 10.1080/15459624.2015.1011328

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  12 in total

1.  Implementing infrared determination of quartz particulates on novel filters for a prototype dust monitor.

Authors:  Donald P Tuchman; Jon C Volkwein; Robert P Vinson
Journal:  J Environ Monit       Date:  2008-04-11

2.  Mid-infrared diffuse reflection of a strongly absorbing analyte on non-absorbing and absorbing matrices. Part I: homogeneous powders.

Authors:  Lacey A Averett; Peter R Griffiths
Journal:  Appl Spectrosc       Date:  2008-04       Impact factor: 2.388

3.  Quantitative mid-infrared diffuse reflection of occupational wood dust exposures.

Authors:  Madalina M Chirila; Taekhee Lee; Michael M Flemmer; James E Slaven; Martin Harper
Journal:  Appl Spectrosc       Date:  2011-03       Impact factor: 2.388

4.  Coal workers' pneumoconiosis in the United States: regional differences 40 years after implementation of the 1969 Federal Coal Mine Health and Safety Act.

Authors:  Eva Suarthana; A Scott Laney; Eileen Storey; Janet M Hale; Michael D Attfield
Journal:  Occup Environ Med       Date:  2011-05-19       Impact factor: 4.402

5.  Quantifying silica in filter-deposited mine dusts using infrared spectra and partial least squares regression.

Authors:  Andrew Todd Weakley; Arthur L Miller; Peter R Griffiths; Sean J Bayman
Journal:  Anal Bioanal Chem       Date:  2014-05-16       Impact factor: 4.142

6.  Evaluating portable infrared spectrometers for measuring the silica content of coal dust.

Authors:  Arthur L Miller; Pamela L Drake; Nathaniel C Murphy; James D Noll; Jon C Volkwein
Journal:  J Environ Monit       Date:  2011-12-01

7.  Rapidly progressive coal workers' pneumoconiosis in the United States: geographic clustering and other factors.

Authors:  V C dos S Antao; E L Petsonk; L Z Sokolow; A L Wolfe; G A Pinheiro; J M Hale; M D Attfield
Journal:  Occup Environ Med       Date:  2005-10       Impact factor: 4.402

8.  Performance of high flow rate samplers for respirable particle collection.

Authors:  Taekhee Lee; Seung Won Kim; William P Chisholm; James Slaven; Martin Harper
Journal:  Ann Occup Hyg       Date:  2010-07-21

9.  National trends in silicosis mortality in the United States, 1981-2004.

Authors:  Ki Moon Bang; Michael D Attfield; John M Wood; Girija Syamlal
Journal:  Am J Ind Med       Date:  2008-09       Impact factor: 2.214

10.  Estimating the total number of newly-recognized silicosis cases in the United States.

Authors:  Kenneth D Rosenman; Mary Jo Reilly; Paul K Henneberger
Journal:  Am J Ind Med       Date:  2003-08       Impact factor: 2.214

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  2 in total

1.  A comparison of respirable crystalline silica concentration measurements using a direct-on-filter Fourier transform infrared (FT-IR) transmission method vs. a traditional laboratory X-ray diffraction method.

Authors:  Julie F Hart; Daniel A Autenrieth; Emanuele Cauda; Lauren Chubb; Terry M Spear; Siobhan Wock; Scott Rosenthal
Journal:  J Occup Environ Hyg       Date:  2018-10       Impact factor: 2.155

2.  Direct infrared spectroscopy for the size-independent identification and quantification of respirable particles relative mass in mine dusts.

Authors:  Robert Stach; Teresa Barone; Emanuele Cauda; Patrick Krebs; Bobby Pejcic; Sven Daboss; Boris Mizaikoff
Journal:  Anal Bioanal Chem       Date:  2020-04-14       Impact factor: 4.142

  2 in total

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