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Classification of microheterogeneity in solid samples using μXRF

机译:使用μXRF对固体样品中的微异质性进行分类

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Micro X-ray fluorescence (μXRF) has been used nondestructively to investigate elemental heterogeneity by constructing two-dimensional maps of elemental concentrations in reference materials. μXRF probes sample sizes well below the 100 mg mass usually recommended for reference materials by NIST. Multivariate methods of analysis, such as principal-component analysis (PCA), show promise in identifying whether “nugget” effects exist within a material, where an element is enriched in small, isolated areas of the sample. The PCA model is built based on data taken in one location and compared with each elemental map. This methodology is shown for several reference materials including SRM 2702 and SRM 2703 to show how PCA treatment can be used to identify which elements exhibit nugget effects within the sub-mg mass range. A method of calculating the minimum recommended mass for solid samples is suggested using PCA iteratively on X-ray maps from which adjacent data points have been averaged. This is repeated until the mass sampled in a map is indistinguishable from data taken at a single location, suggesting no nugget effects can be detected. For SRM 1577c, a mass as low as 370 μg can be used without measurable nugget effects.
机译:通过在参考材料中构建元素浓度的二维图,微X射线荧光(μXRF)已被无损地用于研究元素异质性。 μXRF探针的样品量远低于NIST通常推荐用于参考材料的100 mg质量。多元分析方法(例如主成分分析(PCA))显示出在鉴定材料中是否存在“金块”效应的希望,其中元素富集在样品的较小孤立区域中。 PCA模型是基于在一个位置获取的数据构建的,并与每个元素图进行比较。针对包括SRM 2702和SRM 2703在内的几种参考材料显示了此方法,以显示如何使用PCA处理来识别哪些元素在亚毫克质量范围内显示出金块效应。建议使用PCA在X射线图上迭代计算固体样品的最小推荐质量的方法,根据该X射线图已对相邻数据点进行了平均。重复此过程,直到在地图中采样的质量与在单个位置获取的数据无法区分为止,这表明无法检测到金块效应。对于SRM 1577c,可以使用低至370μg的质量而无可观的金块效应。

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