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A Computer-Controlled SEM-EDX Routine for Characterizing Respirable Coal Mine Dust

机译:用于表征可吸入煤矿粉尘的计算机控制SEM-EDX例程

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A 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.
机译:最近煤炭工人的复兴?尘肺病(或称“黑肺病”)和对其他相关呼吸系统疾病的关注凸显了在职业环境中阐明空气传播颗粒物特征的必要性。对粒径,长宽比或化学成分的更好理解可能会提供有关此类疾病的病因的新见解。可以使用使用能量色散X射线(SEM-EDX)进行的扫描电子显微镜分析来估计这些颗粒特征。如果手动进行,这种工作可能会非常耗时,限制了可以分析的颗粒数量。此外,在解释EDX光谱时存在用户偏见的可能性。另一方面,计算机控制(CC)程序可以以更快的速度进行类似分析,从而增加了总颗粒数并提高了结果的可重复性。本文介绍了一种CCSEM-EDX例程,该例程是专门为分析煤矿可吸入粉尘样品而开发的。根据从已知材料的样品获得的结果的可靠性以及在现场收集的10个粉尘样品的一组结果的可重复性,对例程进行验证。还就矿山的职业环境讨论了野外样品的特性。

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