Exploring agglomeration of respirable silica and other particles in coal mine dust

A better understanding of respirable dust particle characteristics is needed to advance exposure monitoring and prevent health effects. In coal mines and other occupational environments, understanding respirable silica is especially important. Scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDX) enables particle-level dust analysis, but interpretation of data can be challenging when samples include agglomerated particles (i.e., particulates consisting of multiple independent particles attached together). On the other hand, a failure to recognize agglomerates or account for them in analysis risks oversimplification in exposure assessment. This research explores possible effects of agglomerates on respirable coal mine dust classification by SEM-EDX, with a specific focus on silica. Analysis was conducted both on respirable samples (collected with a typical apparatus including a cyclone size selector) and on respirable-sized particulates identified in passive samples. Results demonstrate that silica is often contained in respirable-sized agglomerates, though the typical respirable sampling apparatus appears to break up some of those agglomerates. For agglomerates that do persist, they may influence SEM-EDX results-possibly increasing apparent size distributions and/or "hiding" some of their constituents, including silica.

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Publication Details

Journal
Scientific Reports
Published
2025-05-20
DOI
https://doi.org/10.1038/s41598-025-01786-6
Citations
2
Primary Topic
Occupational and environmental lung diseases
Type
article
Field-Weighted Citation Impact
3.04

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article

Exploring agglomeration of respirable silica and other particles in coal mine dust

Emily Sarver, Çiğdem Keleş, Daniel Sweeney, Lizeth Jaramillo Taborda
2 citations
Scientific Reports
Occupational and environmental lung diseases
3.04
article

Exploring agglomeration of respirable silica and other particles in coal mine dust

Emily Sarver, Çiğdem Keleş, Daniel Sweeney, Lizeth Jaramillo Taborda
article en
2 citations

Abstract

A better understanding of respirable dust particle characteristics is needed to advance exposure monitoring and prevent health effects. In coal mines and other occupational environments, understanding respirable silica is especially important. Scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDX) enables particle-level dust analysis, but interpretation of data can be challenging when samples include agglomerated particles (i.e., particulates consisting of multiple independent particles attached together). On the other hand, a failure to recognize agglomerates or account for them in analysis risks oversimplification in exposure assessment. This research explores possible effects of agglomerates on respirable coal mine dust classification by SEM-EDX, with a specific focus on silica. Analysis was conducted both on respirable samples (collected with a typical apparatus including a cyclone size selector) and on respirable-sized particulates identified in passive samples. Results demonstrate that silica is often contained in respirable-sized agglomerates, though the typical respirable sampling apparatus appears to break up some of those agglomerates. For agglomerates that do persist, they may influence SEM-EDX results-possibly increasing apparent size distributions and/or "hiding" some of their constituents, including silica.

Scientific ReportsVol. 15(1)
Virginia Tech (US)
National Science Foundation, Centers for Disease Control and Prevention, Division of Electrical, Communications and Cyber Systems
Openalex Percentile: Top 9%
Occupational and environmental lung diseases
3.04
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Exploring agglomeration of respirable silica and other particles in coal mine dust — Emily Sarver, Çiğdem Keleş, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS