VTechWorks staff will be away for the Thanksgiving holiday beginning at noon on Wednesday, November 27, through Friday, November 29. We will resume normal operations on Monday, December 2. Thank you for your patience.
 

Comparison of respirable coal mine dust constituents estimated using FTIR, TGA, and SEM-EDX

dc.contributor.authorPokhrel, Nishanen
dc.contributor.authorAgioutanti, el E.en
dc.contributor.authorKeles, Cigdemen
dc.contributor.authorAfrouz, Setarehen
dc.contributor.authorSarver, Emily A.en
dc.date.accessioned2022-03-25T15:12:33Zen
dc.date.available2022-03-25T15:12:33Zen
dc.date.issued2022-02-24en
dc.date.updated2022-03-24T13:16:57Zen
dc.description.abstractSince the mid-1990s, there has been a resurgence of severe lung disease among US coal miners. This has prompted efforts to better characterize and monitor respirable dust exposures—especially with respect to mineral constituents sourced from rock strata surrounding the coal, which is believed to play a central role in many cases of disease. Recently, a rapid analysis method for silica (quartz) mass has been developed using direct-on-filter Fourier transform infrared (FTIR) spectroscopy. It can concurrently provide an estimate of kaolinite, presumably a primary silicate mineral in many coal mines. Other methods, including thermogravimetric analysis (TGA) and scanning electron microscopy with energy-dispersive X-ray (SEM–EDX), can also be used to estimate respirable coal mine dust constituents. However, there have been few efforts to compare results across multiple methods. Here, FTIR, TGA, and SEM–EDX were used to analyze 93 sets of respirable dust samples collected in 16 underground coal mines across the USA.en
dc.description.versionAccepted versionen
dc.format.extent10 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/s42461-022-00567-3en
dc.identifier.eissn2524-3470en
dc.identifier.issn2524-3462en
dc.identifier.issue2en
dc.identifier.orcidSarver, Emily [0000-0003-2301-8740]en
dc.identifier.orcidKeles, Cigdem [0000-0002-1467-4618]en
dc.identifier.orcidGhaychi Afrouz, Setareh [0000-0002-5035-0207]en
dc.identifier.urihttp://hdl.handle.net/10919/109441en
dc.identifier.volume39en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000761864400003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectMetallurgy & Metallurgical Engineeringen
dc.subjectMining & Mineral Processingen
dc.subjectSILICAen
dc.titleComparison of respirable coal mine dust constituents estimated using FTIR, TGA, and SEM-EDXen
dc.title.serialMining Metallurgy and Explorationen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dcterms.dateAccepted2022-01-12en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Mining and Minerals Engineeringen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
MME paper (2022).pdf
Size:
613.23 KB
Format:
Adobe Portable Document Format
Description:
Accepted version