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Precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS technique: application of regression analysis to time-resolved signals

Laser ablation ICP-MS (LA-ICP-MS) is a powerful microbeam technique capable of rapid and precise determination for a large spectrum of trace elements at ppm or sub-ppm levels. Micrometer-scale minerals and inclusions are very common in geological materials, for which direct measurement is restricted...

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Autores principales: Liu, Si-Qi, Jiang, Shao-Yong, Chen, Wei, Wang, Christina Yan, Su, Hui-Min, Cao, Yonghua, Zhang, Hao-Xiang, Li, Wen-Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152229/
https://www.ncbi.nlm.nih.gov/pubmed/37143700
http://dx.doi.org/10.1039/d3ra02472e
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author Liu, Si-Qi
Jiang, Shao-Yong
Chen, Wei
Wang, Christina Yan
Su, Hui-Min
Cao, Yonghua
Zhang, Hao-Xiang
Li, Wen-Tian
author_facet Liu, Si-Qi
Jiang, Shao-Yong
Chen, Wei
Wang, Christina Yan
Su, Hui-Min
Cao, Yonghua
Zhang, Hao-Xiang
Li, Wen-Tian
author_sort Liu, Si-Qi
collection PubMed
description Laser ablation ICP-MS (LA-ICP-MS) is a powerful microbeam technique capable of rapid and precise determination for a large spectrum of trace elements at ppm or sub-ppm levels. Micrometer-scale minerals and inclusions are very common in geological materials, for which direct measurement is restricted by the spot size using LA-ICP-MS (generally 20–50 μm). In this study, ilmenite lamellae intergrown with magnetite were selected as an example to describe a practical algorithm that applies regression analysis to extract the chemical compositions of binary phases from mixed LA-ICP-MS signals. The method accuracy is confirmed by the agreement between the regressed value for various trace elements in ilmenite exsolutions and their reference values (direct analyses using EPMA and LA-ICP-MS). Results were obtained for most detectable components (Mg, Mn, V, Nb, Ta, Sc, Zr, Hf, Sn, et c.) and their relative deviations are within ±10%, even for those <10 ppm (such as Hf and W). Relative standard errors on the regressed value were calculated to evaluate the precision of the method, which is mostly within 10%, and the worst up to 25%. Therefore, the algorithm described in this contribution provides a solution for precise determination of trace element compositions for micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS, and is potentially practical for other geological materials.
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spelling pubmed-101522292023-05-03 Precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS technique: application of regression analysis to time-resolved signals Liu, Si-Qi Jiang, Shao-Yong Chen, Wei Wang, Christina Yan Su, Hui-Min Cao, Yonghua Zhang, Hao-Xiang Li, Wen-Tian RSC Adv Chemistry Laser ablation ICP-MS (LA-ICP-MS) is a powerful microbeam technique capable of rapid and precise determination for a large spectrum of trace elements at ppm or sub-ppm levels. Micrometer-scale minerals and inclusions are very common in geological materials, for which direct measurement is restricted by the spot size using LA-ICP-MS (generally 20–50 μm). In this study, ilmenite lamellae intergrown with magnetite were selected as an example to describe a practical algorithm that applies regression analysis to extract the chemical compositions of binary phases from mixed LA-ICP-MS signals. The method accuracy is confirmed by the agreement between the regressed value for various trace elements in ilmenite exsolutions and their reference values (direct analyses using EPMA and LA-ICP-MS). Results were obtained for most detectable components (Mg, Mn, V, Nb, Ta, Sc, Zr, Hf, Sn, et c.) and their relative deviations are within ±10%, even for those <10 ppm (such as Hf and W). Relative standard errors on the regressed value were calculated to evaluate the precision of the method, which is mostly within 10%, and the worst up to 25%. Therefore, the algorithm described in this contribution provides a solution for precise determination of trace element compositions for micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS, and is potentially practical for other geological materials. The Royal Society of Chemistry 2023-05-02 /pmc/articles/PMC10152229/ /pubmed/37143700 http://dx.doi.org/10.1039/d3ra02472e Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Liu, Si-Qi
Jiang, Shao-Yong
Chen, Wei
Wang, Christina Yan
Su, Hui-Min
Cao, Yonghua
Zhang, Hao-Xiang
Li, Wen-Tian
Precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS technique: application of regression analysis to time-resolved signals
title Precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS technique: application of regression analysis to time-resolved signals
title_full Precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS technique: application of regression analysis to time-resolved signals
title_fullStr Precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS technique: application of regression analysis to time-resolved signals
title_full_unstemmed Precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS technique: application of regression analysis to time-resolved signals
title_short Precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using LA-ICP-MS technique: application of regression analysis to time-resolved signals
title_sort precise determination of major and trace elements in micrometer-scale ilmenite lamellae in titanomagnetite using la-icp-ms technique: application of regression analysis to time-resolved signals
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152229/
https://www.ncbi.nlm.nih.gov/pubmed/37143700
http://dx.doi.org/10.1039/d3ra02472e
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