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X射线荧光光谱法用于多元素组成常规分析的适用性:多标准验证

Suitability of XRF for Routine Analysis of Multi-Elemental Composition: A Multi-Standard Verification.

作者信息

Fedeli Riccardo, Di Lella Luigi Antonello, Loppi Stefano

机构信息

BioAgry Lab, Department of Life Sciences, University of Siena, 53100 Siena, Italy.

Department of Physical, Earth and Environmental Sciences, University of Siena, 53100 Siena, Italy.

出版信息

Methods Protoc. 2024 Jul 5;7(4):53. doi: 10.3390/mps7040053.

Abstract

This study investigated the suitability of X-ray fluorescence (XRF) analysis for routine multi-elemental composition analysis, checking its analytical capabilities by measuring a wide array of certified reference materials of soil and plant origin. A portable XRF analyzer was used to evaluate 32 soil and 12 plant standard materials, using both the and mode, with sequential beams, allowing the detection of a wide range of elements. Recovery rates were calculated by comparing XRF measurements with certified values, and their correlations were verified through the Spearman coefficient. The results demonstrated the reliability of XRF measurements for soil samples, with a large number of elements showing a good or very good recovery and strong correlations with certified values. For plant samples, XRF largely overestimated the certified values, but the strong statistically significant correlations for almost all tested elements allowed us to correct this systematic bias, using the reported median value for dividing the value obtained via XRF. The mode emerged as more reliable for a larger number of elements. It was concluded that XRF may be a suitable alternative to ICP-MS in routine multi-elemental composition analysis.

摘要

本研究调查了X射线荧光(XRF)分析用于常规多元素成分分析的适用性,通过测量大量土壤和植物来源的标准参考物质来检验其分析能力。使用便携式XRF分析仪,采用两种模式,通过连续光束对32种土壤和12种植物标准物质进行评估,从而检测多种元素。通过将XRF测量值与认证值进行比较来计算回收率,并通过斯皮尔曼系数验证其相关性。结果表明,XRF对土壤样品的测量具有可靠性,大量元素显示出良好或非常好的回收率,并且与认证值具有很强的相关性。对于植物样品,XRF在很大程度上高估了认证值,但几乎所有测试元素的强统计相关性使我们能够通过使用报告的中值来除以通过XRF获得的值来校正这种系统偏差。对于更多元素, 模式显得更可靠。得出的结论是,在常规多元素成分分析中,XRF可能是电感耦合等离子体质谱(ICP-MS)的合适替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca09/11270293/2c6a4692e5a7/mps-07-00053-g001.jpg

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