南非矿山尾矿特征不确定性的统计评价

IF 0.8 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY
K. Mashale, B. May, J. Sehata, J. Tshilongo, L. Chimuka
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引用次数: 0

摘要

在这项研究中,使用x射线荧光、碱性熔合和酸消解对南非矿山尾矿样品进行贱金属表征,随后评估所涉及的不确定度。这是基于表征数据在后续方法中的重要性以及对这些方法的信心。确定仪器的重复性和再现性对总体不确定度贡献最大。在覆盖系数为2 (k=2)的情况下,铁、XRF和酸消化的测定结果分别为3.476±0.026%、3.835±0.023%和3.741±0.020%,砷的熔融和酸消化的测定结果分别为88±11 mg kg-1和85.5±8.3 mg kg-1。计算得到的扩展不确定度平均为测量结果的0.8%,这三种方法具有较高的统计置信度,因此便于后续分析方法的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical evaluation of the uncertainties in the characterization of South African mine tailings
In this study, a South African mine tailing sample was characterized for base metals using X-Ray fluorescence, alkaline fusion, and acid digestion to subsequently evaluate the uncertainties involved. This was based on the importance of characterization data in subsequent methods and obtaining confidence in such methods. It was determined that instrument repeatability and reproducibility contributed most to the overall uncertainty. At a coverage factor of 2 (k=2), the measurement result for iron through alkaline fusion, XRF, and acid digestion was found to be 3.476 ± 0.026%, 3.835 ± 0.023%, and 3.741 ± 0.020%, respectively, and that of arsenic were 88 ± 11 mg kg-1 and 85.5 ± 8.3 mg kg-1 for fusion and acid digestion, respectively. Based on the calculated expanded uncertainties which are at an average of 0.8% of the measurement results, the three methods can be associated with high statistical confidence and therefore eases decision-making regarding subsequent analytical methods.
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
6
审稿时长
>12 weeks
期刊介绍: Original work in all branches of chemistry is published in the South African Journal of Chemistry. Contributions in English may take the form of papers, short communications, or critical reviews.
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