{"title":"XRF 对多元素成分常规分析的适用性:多标准验证","authors":"Riccardo Fedeli, L. D. Di Lella, Stefano Loppi","doi":"10.3390/mps7040053","DOIUrl":null,"url":null,"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 Soil and Geochem 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 Geochem 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.","PeriodicalId":18715,"journal":{"name":"Methods and Protocols","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Suitability of XRF for Routine Analysis of Multi-Elemental Composition: A Multi-Standard Verification\",\"authors\":\"Riccardo Fedeli, L. D. Di Lella, Stefano Loppi\",\"doi\":\"10.3390/mps7040053\",\"DOIUrl\":null,\"url\":null,\"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 Soil and Geochem 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 Geochem 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.\",\"PeriodicalId\":18715,\"journal\":{\"name\":\"Methods and Protocols\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Methods and Protocols\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/mps7040053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods and Protocols","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/mps7040053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
摘要
本研究调查了 X 射线荧光(XRF)分析法在常规多元素成分分析中的适用性,并通过测量一系列经认证的土壤和植物参考材料来检验其分析能力。使用便携式 X 射线荧光分析仪评估了 32 种土壤和 12 种植物标准材料,采用土壤和地球化学模式,连续光束可检测多种元素。通过比较 XRF 测量值和认证值,计算出回收率,并通过斯皮尔曼系数验证其相关性。结果表明 XRF 测量对土壤样本的可靠性,大量元素的回收率良好或非常好,并与认证值有很强的相关性。对于植物样本,XRF 很大程度上高估了认证值,但几乎所有测试元素都有很强的统计意义上的相关性,这使我们能够纠正这种系统性偏差,使用报告的中值来除以通过 XRF 获得的值。对于更多元素而言,Geochem 模式更为可靠。结论是,在常规多元素成分分析中,XRF 可能是 ICP-MS 的合适替代品。
Suitability of XRF for Routine Analysis of Multi-Elemental Composition: A Multi-Standard Verification
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 Soil and Geochem 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 Geochem 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.