Advancing respirable coal mine dust source apportionment: a preliminary laboratory exploration of optical microscopy as a novel monitoring tool

Abstract Exposure to respirable coal mine dust (RCMD) can cause chronic and debilitating lung diseases. Real-time monitoring capabilities are sought which can enable a better understanding of dust components and sources. In many underground mines, RCMD includes three primary components which can be...

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Main Authors: Nestor Santa, Emily Sarver
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:International Journal of Coal Science & Technology
Subjects:
Online Access:https://doi.org/10.1007/s40789-024-00687-9
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author Nestor Santa
Emily Sarver
author_facet Nestor Santa
Emily Sarver
author_sort Nestor Santa
collection DOAJ
description Abstract Exposure to respirable coal mine dust (RCMD) can cause chronic and debilitating lung diseases. Real-time monitoring capabilities are sought which can enable a better understanding of dust components and sources. In many underground mines, RCMD includes three primary components which can be loosely associated with three major dust sources: coal dust from the coal seam itself, silicates from the surrounding rock strata, and carbonates from the inert ‘rock dust’ products that are applied to mitigate explosion hazards. A monitor which can reliably partition RCMD between these three components could thus allow source apportionment. And tracking silicates, specifically, could be valuable since the most serious health risks are typically associated with this component-particularly if abundant in crystalline silica. Envisioning a monitoring concept based on field microscopy, and following up on prior research using polarized light, the aim of the current study was to build and test a model to classify respirable-sized particles as either coal, silicates, or carbonates. For model development, composite dust samples were generated in the laboratory by successively depositing dust from high-purity materials onto a sticky transparent substrate, and imaging after each deposition event such that the identity of each particle was known a priori. Model testing followed a similar approach, except that real geologic materials were used as the source for each dust component. Results showed that the model had an overall accuracy of $$86.5\%$$ 86.5 % , indicating that a field-microscopy based monitor could support RCMD source apportionment and silicates tracking in some coal mines.
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spelling doaj.art-1c1f946a3d9c478da21e936a1406e3692024-04-21T11:03:51ZengSpringerOpenInternational Journal of Coal Science & Technology2095-82932198-78232024-04-0111111210.1007/s40789-024-00687-9Advancing respirable coal mine dust source apportionment: a preliminary laboratory exploration of optical microscopy as a novel monitoring toolNestor Santa0Emily Sarver1Department of Mining and Minerals Engineering, Virginia TechDepartment of Mining and Minerals Engineering, Virginia TechAbstract Exposure to respirable coal mine dust (RCMD) can cause chronic and debilitating lung diseases. Real-time monitoring capabilities are sought which can enable a better understanding of dust components and sources. In many underground mines, RCMD includes three primary components which can be loosely associated with three major dust sources: coal dust from the coal seam itself, silicates from the surrounding rock strata, and carbonates from the inert ‘rock dust’ products that are applied to mitigate explosion hazards. A monitor which can reliably partition RCMD between these three components could thus allow source apportionment. And tracking silicates, specifically, could be valuable since the most serious health risks are typically associated with this component-particularly if abundant in crystalline silica. Envisioning a monitoring concept based on field microscopy, and following up on prior research using polarized light, the aim of the current study was to build and test a model to classify respirable-sized particles as either coal, silicates, or carbonates. For model development, composite dust samples were generated in the laboratory by successively depositing dust from high-purity materials onto a sticky transparent substrate, and imaging after each deposition event such that the identity of each particle was known a priori. Model testing followed a similar approach, except that real geologic materials were used as the source for each dust component. Results showed that the model had an overall accuracy of $$86.5\%$$ 86.5 % , indicating that a field-microscopy based monitor could support RCMD source apportionment and silicates tracking in some coal mines.https://doi.org/10.1007/s40789-024-00687-9Polarized light microscopyImage processingDust monitoringRespirable silicaCoal mining
spellingShingle Nestor Santa
Emily Sarver
Advancing respirable coal mine dust source apportionment: a preliminary laboratory exploration of optical microscopy as a novel monitoring tool
International Journal of Coal Science & Technology
Polarized light microscopy
Image processing
Dust monitoring
Respirable silica
Coal mining
title Advancing respirable coal mine dust source apportionment: a preliminary laboratory exploration of optical microscopy as a novel monitoring tool
title_full Advancing respirable coal mine dust source apportionment: a preliminary laboratory exploration of optical microscopy as a novel monitoring tool
title_fullStr Advancing respirable coal mine dust source apportionment: a preliminary laboratory exploration of optical microscopy as a novel monitoring tool
title_full_unstemmed Advancing respirable coal mine dust source apportionment: a preliminary laboratory exploration of optical microscopy as a novel monitoring tool
title_short Advancing respirable coal mine dust source apportionment: a preliminary laboratory exploration of optical microscopy as a novel monitoring tool
title_sort advancing respirable coal mine dust source apportionment a preliminary laboratory exploration of optical microscopy as a novel monitoring tool
topic Polarized light microscopy
Image processing
Dust monitoring
Respirable silica
Coal mining
url https://doi.org/10.1007/s40789-024-00687-9
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