RJ Lee Group, Inc., 350 Hochberg Road, Monroeville, PA, 15146, USA.
Environ Res. 2023 Aug 1;230:114579. doi: 10.1016/j.envres.2022.114579. Epub 2023 Mar 23.
Amphibole minerals are found throughout nature and could pose a respiratory hazard if these exist in the asbestiform growth habit. Though amphibole asbestos has not been used in commercial products as an added material for more than 30 years, these minerals could exist in other materials as trace contaminants as well as occurring in mines and earth-moving environments. It is necessary, then, that the asbestiform amphibole minerals be properly identified in order to appropriately use health-protective measures. Recent analyses of various amphibole data sets have been used to derive a discriminant function that can be used to differentiate asbestiform amphibole from non-asbestiform amphibole minerals. This paper expands on this function and examines the validity of the procedure for different size fractions of minerals. This analysis suggests that the derived function is appropriate for fibers 10 μm and longer. For fibers shorter than 10 μm, the data suggest that a broader acceptance limit may be needed. The data also suggest that current analytical procedures may require some adjustment to provide more accurate details on the widths of fibers. With additional samples, the accuracy of the discriminate function can be improved by calculating functions for each mineral.
闪石矿物广泛存在于自然界中,如果以石棉的生长形态存在,可能会对呼吸系统造成危害。尽管 30 多年来,闪石石棉已不再作为添加材料用于商业产品,但这些矿物质可能作为痕量污染物存在于其他材料中,也可能存在于矿山和土方作业环境中。因此,必须正确识别石棉状闪石矿物,以便采取适当的健康保护措施。最近对各种闪石数据集的分析已经被用来推导出一个判别函数,该函数可以用来区分石棉状闪石和非石棉状闪石矿物。本文扩展了这个函数,并检验了这个程序在不同大小的矿物样本中的有效性。该分析表明,该函数适用于 10μm 及以上的纤维。对于小于 10μm 的纤维,数据表明可能需要更宽的接受限值。数据还表明,目前的分析程序可能需要进行一些调整,以提供关于纤维宽度的更准确的细节。通过增加样本,可以通过为每种矿物计算函数来提高判别函数的准确性。