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迈向CPDM样品的快速二氧化硅分析:回收粉尘的沉积及傅里叶变换红外光谱分析

Toward rapid silica analysis of CPDM samples: Deposition of recovered dust and analysis by FTIR.

作者信息

Greth August, Sarver Emily

机构信息

Department of Mining and Minerals Engineering, Virginia Polytechnic Institute & State University, Blacksburg, Virginia.

出版信息

J Occup Environ Hyg. 2025 Feb;22(2):87-100. doi: 10.1080/15459624.2024.2421008. Epub 2024 Dec 10.

Abstract

The ongoing resurgence of severe Coal Workers' Pneumoconiosis in the US has been linked to overexposure to respirable crystalline silica (RCS, which is predominantly present as quartz and regulated as such). Capabilities that enable more frequent RCS monitoring are highly sought. Recent developments include field-based quartz analysis of traditional filter samples-collected on polyvinyl chloride (PVC) filters-using portable Fourier Transform Infrared spectroscopy (FTIR). However, most respirable dust samples in US coal mines are collected with a continuous personal dust monitor (CPDM) that enables real-time tracking of total respirable dust mass concentration. FTIR cannot directly analyze the collected dust sample due to the materials and construction of the sampling substrate. To address this issue, a simple three-step method was envisioned wherein the dust could be recovered into a suspension, redeposited onto a PVC filter using a syringe filter apparatus, and then analyzed by FTIR. The current study was conducted to develop the redeposition and analysis steps. It specifically considers the issues of the PVC filter size and deposition pattern yielded by typical filtration apparatuses and the FTIR scanning locations to establish a model that predicts quartz mass from the spectral data. Of the options tested here, the following combination was found to be optimal: 25-mm PVC filter with dust deposition using an inline syringe filter holder (which yields a "wheel and spoke" pattern), and FTIR analysis at four center-offset locations (90° apart, 8-mm from the center) from which the spectral data were averaged. Under these conditions, the predicted quartz mass on filters with respirable dust deposited from one of two geologic source materials (i.e., representing real coal mine silica sources) was observed to have a standard error of 0.011 mg (11 µg) for samples with an expected quartz mass of less than 0.150 mg (which equated to a total sample mass of less than about 1.5 mg). For samples with higher expected quartz masses, standard error increased, suggesting that dust deposition becomes less uniform with increasing total sample mass.

摘要

美国严重煤工尘肺的持续复发与可吸入结晶二氧化硅(RCS,主要以石英形式存在并受此监管)的过度暴露有关。能够更频繁地监测RCS的技术备受追捧。最近的进展包括使用便携式傅里叶变换红外光谱(FTIR)对收集在聚氯乙烯(PVC)滤膜上的传统滤膜样品进行现场石英分析。然而,美国煤矿中的大多数可吸入粉尘样品是通过连续个人粉尘监测仪(CPDM)收集的,该监测仪能够实时跟踪可吸入粉尘的总质量浓度。由于采样基质的材料和结构,FTIR无法直接分析收集到的粉尘样品。为了解决这个问题,设想了一种简单的三步方法,即可以将粉尘回收成悬浮液,使用注射器过滤装置重新沉积到PVC滤膜上,然后通过FTIR进行分析。当前的研究旨在开发重新沉积和分析步骤。它特别考虑了典型过滤装置产生的PVC滤膜尺寸和沉积模式以及FTIR扫描位置,以建立一个从光谱数据预测石英质量的模型。在本文测试的选项中,发现以下组合是最佳的:使用在线注射器滤膜支架(产生“轮辐”模式)沉积粉尘的25毫米PVC滤膜,以及在四个中心偏移位置(相隔90°,距中心8毫米)进行FTIR分析,对光谱数据进行平均。在这些条件下,对于预期石英质量小于0.150毫克(相当于总样品质量小于约1.5毫克)的样品,观察到从两种地质源材料之一沉积有可吸入粉尘的滤膜上预测的石英质量的标准误差为0.011毫克(11微克)。对于预期石英质量较高的样品,标准误差增加,这表明随着总样品质量的增加,粉尘沉积变得不那么均匀。

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