Automated Particle Analysis Using Field-Emission Scanning Electron Microscopy (FE-SEM) and Energy Dispersive X-Ray Spectroscopy (EDS) to Characterize Inhaled Particulate Matter (PM) in Biopsied Lung Tissue
| Autor: | Leslie Hayden, Stacy Strausborger, Michael Lewin-Smith |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Microscopy and Microanalysis. 29:235-243 |
| ISSN: | 1435-8115 1431-9276 |
| Popis: | The role of inhaled particulate matter in the development of chronic lung disease in military veterans remains ill-defined and controversial. Characterizing the nature of such inhaled particulates in surgical lung biopsy tissue is an important step in evaluating the association between exposure and illness. We have developed a protocol for automated in-situ analysis of inorganic inhaled particulate matter using field-emission scanning electron microscopy with energy dispersive X-ray spectroscopy. Over 120,000 particles of both a geological and manufactured nature were analyzed and characterized according to their chemistry and morphology. The most abundant particles were clays, feldspars, silica, titanium dioxides, and metals and were by and large less than 2.5 µm in the greatest dimension. Automating the process allows for efficient in-situ analysis of thousands of particles each day and the development of large datasets. |
| Databáze: | OpenAIRE |
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