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dc.contributor.authorJohann-Essex, Victoria
dc.contributor.authorKeles, Cigdem
dc.contributor.authorSarver, Emily Allyn
dc.date.accessioned2017-09-20T18:29:17Z
dc.date.available2017-09-20T18:29:17Z
dc.date.issued2017-01-23
dc.identifier.citationJohann-Essex, V.; Keles, C.; Sarver, E. A Computer-Controlled SEM-EDX Routine for Characterizing Respirable Coal Mine Dust. Minerals 2017, 7, 15.
dc.identifier.urihttp://hdl.handle.net/10919/79308
dc.description.abstractA recent resurgence in coal workers’ pneumoconiosis (or “black lung”) and concerns over other related respiratory illnesses have highlighted the need to elucidate characteristics of airborne particulates in occupational environments. A better understanding of particle size, aspect ratio, or chemical composition may offer new insights regarding causal factors of such illnesses. Scanning electron microscopy analysis using energy dispersive X-ray (SEM-EDX) can be used to estimate these particle characteristics. If conducted manually, such work can be very time intensive, limiting the number of particles that can be analyzed. Moreover, potential exists for user bias in interpretation of EDX spectra. A computer-controlled (CC) routine, on the other hand, can allow similar analysis at a much faster rate, increasing total particle counts and reproducibility of results. This paper describes a CCSEM-EDX routine specifically developed for analysis of respirable dust samples from coal mines. The routine is verified based on reliability of results obtained on samples of known materials, and reproducibility of results obtained on a set of 10 dust samples collected in the field. The characteristics of the field samples are also discussed with respect to mine occupational environments.
dc.format.mimetypeapplication/pdf
dc.languageen_USen_US
dc.publisherMDPI
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleA Computer-Controlled SEM-EDX Routine for Characterizing Respirable Coal Mine Dusten_US
dc.typeArticle - Refereeden_US
dc.date.updated2017-09-20T18:29:17Z
dc.contributor.departmentMining and Minerals Engineeringen_US
dc.title.serialMinerals
dc.identifier.doihttps://doi.org/10.3390/min7010015
dc.type.dcmitypeText


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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International