利用光谱分辨率更高的原子吸收光谱法对地质样本进行锂同位素比率分析

IF 3.2 2区 化学 Q1 SPECTROSCOPY Spectrochimica Acta Part B: Atomic Spectroscopy Pub Date : 2024-08-02 DOI:10.1016/j.sab.2024.107013
Dalia Morcillo , Alexander Winckelmann , Daniel A. Frick , Lars Jacobsen , Tino Seger , Stefan Florek , Silke Richter , Jochen Vogl , Sebastian Recknagel , Ulrich Panne , Carlos Abad
{"title":"利用光谱分辨率更高的原子吸收光谱法对地质样本进行锂同位素比率分析","authors":"Dalia Morcillo ,&nbsp;Alexander Winckelmann ,&nbsp;Daniel A. Frick ,&nbsp;Lars Jacobsen ,&nbsp;Tino Seger ,&nbsp;Stefan Florek ,&nbsp;Silke Richter ,&nbsp;Jochen Vogl ,&nbsp;Sebastian Recknagel ,&nbsp;Ulrich Panne ,&nbsp;Carlos Abad","doi":"10.1016/j.sab.2024.107013","DOIUrl":null,"url":null,"abstract":"<div><p>This study introduces an improved spectrometric method with enhanced precision to determine isotope ratios in geological samples without chromatographic separation. Firstly, the improvement is achieved by increasing the spectral resolution of the spectrometer applied in well-known high-resolution continuum source atomic absorption spectrometry (HR-CS-AAS). The resulting resolving power and linear dispersion of the upgraded setup, which is denoted in the following as HR+CS-AAS, is well adapted to the line widths of the Li isotope components we investigated. Secondly, our proposed method combines optical absorption spectrometry with machine learning data analysis using an extreme gradient boosting algorithm (XGBoost). This method was applied to analyze certified geological reference materials with <em>δ</em><sub>LSVEC</sub>(<sup>7</sup>Li/<sup>6</sup>Li) (hereafter <em>δ</em><sup>7</sup>Li) values ranging from −0.5 ‰ to 4.5 ‰. With a pixel related optical resolving power of λ/∆λ ≈ 780 000, we obtain precisions in <em>δ</em><sup>7</sup>Li measurements from 1.0 ‰ to 2.5 ‰. The method is validated by comparing the results with multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS), confirming its metrological compatibility. This work presents a fast, robust, and reliable method for <em>δ</em><sup>7</sup>Li measurement in geological samples.</p></div>","PeriodicalId":21890,"journal":{"name":"Spectrochimica Acta Part B: Atomic Spectroscopy","volume":"220 ","pages":"Article 107013"},"PeriodicalIF":3.2000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0584854724001575/pdfft?md5=62fdc23880af0f159e2b9bd200e12fa2&pid=1-s2.0-S0584854724001575-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Lithium isotope ratio analysis of geological samples using atomic absorption spectrometry with improved spectral resolution\",\"authors\":\"Dalia Morcillo ,&nbsp;Alexander Winckelmann ,&nbsp;Daniel A. Frick ,&nbsp;Lars Jacobsen ,&nbsp;Tino Seger ,&nbsp;Stefan Florek ,&nbsp;Silke Richter ,&nbsp;Jochen Vogl ,&nbsp;Sebastian Recknagel ,&nbsp;Ulrich Panne ,&nbsp;Carlos Abad\",\"doi\":\"10.1016/j.sab.2024.107013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study introduces an improved spectrometric method with enhanced precision to determine isotope ratios in geological samples without chromatographic separation. Firstly, the improvement is achieved by increasing the spectral resolution of the spectrometer applied in well-known high-resolution continuum source atomic absorption spectrometry (HR-CS-AAS). The resulting resolving power and linear dispersion of the upgraded setup, which is denoted in the following as HR+CS-AAS, is well adapted to the line widths of the Li isotope components we investigated. Secondly, our proposed method combines optical absorption spectrometry with machine learning data analysis using an extreme gradient boosting algorithm (XGBoost). This method was applied to analyze certified geological reference materials with <em>δ</em><sub>LSVEC</sub>(<sup>7</sup>Li/<sup>6</sup>Li) (hereafter <em>δ</em><sup>7</sup>Li) values ranging from −0.5 ‰ to 4.5 ‰. With a pixel related optical resolving power of λ/∆λ ≈ 780 000, we obtain precisions in <em>δ</em><sup>7</sup>Li measurements from 1.0 ‰ to 2.5 ‰. The method is validated by comparing the results with multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS), confirming its metrological compatibility. This work presents a fast, robust, and reliable method for <em>δ</em><sup>7</sup>Li measurement in geological samples.</p></div>\",\"PeriodicalId\":21890,\"journal\":{\"name\":\"Spectrochimica Acta Part B: Atomic Spectroscopy\",\"volume\":\"220 \",\"pages\":\"Article 107013\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0584854724001575/pdfft?md5=62fdc23880af0f159e2b9bd200e12fa2&pid=1-s2.0-S0584854724001575-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spectrochimica Acta Part B: Atomic Spectroscopy\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0584854724001575\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SPECTROSCOPY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spectrochimica Acta Part B: Atomic Spectroscopy","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0584854724001575","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPECTROSCOPY","Score":null,"Total":0}
引用次数: 0

摘要

本研究介绍了一种改进的光谱分析方法,该方法精度更高,无需色谱分离即可测定地质样品中的同位素比值。首先,通过提高众所周知的高分辨率连续光源原子吸收光谱法(HR-CS-AAS)所用光谱仪的光谱分辨率来实现改进。升级后的装置(下文中称为 HR+CS-AAS)的分辨能力和线性色散非常适合我们所研究的锂同位素成分的线宽。其次,我们提出的方法将光学吸收光谱法与使用极端梯度提升算法(XGBoost)的机器学习数据分析相结合。该方法适用于分析δLSVEC(7Li/6Li)(以下简称δ7Li)值范围为-0.5 ‰至4.5 ‰的认证地质参考材料。像素相关光学分辨力为 λ/∆λ ≈ 780 000,我们得到的 δ7Li 测量精度为 1.0 ‰ 至 2.5 ‰。通过与多收集器电感耦合等离子体质谱法(MC-ICP-MS)的结果比较,验证了该方法的计量兼容性。这项工作为地质样品中δ7Li 的测量提供了一种快速、稳健、可靠的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Lithium isotope ratio analysis of geological samples using atomic absorption spectrometry with improved spectral resolution

This study introduces an improved spectrometric method with enhanced precision to determine isotope ratios in geological samples without chromatographic separation. Firstly, the improvement is achieved by increasing the spectral resolution of the spectrometer applied in well-known high-resolution continuum source atomic absorption spectrometry (HR-CS-AAS). The resulting resolving power and linear dispersion of the upgraded setup, which is denoted in the following as HR+CS-AAS, is well adapted to the line widths of the Li isotope components we investigated. Secondly, our proposed method combines optical absorption spectrometry with machine learning data analysis using an extreme gradient boosting algorithm (XGBoost). This method was applied to analyze certified geological reference materials with δLSVEC(7Li/6Li) (hereafter δ7Li) values ranging from −0.5 ‰ to 4.5 ‰. With a pixel related optical resolving power of λ/∆λ ≈ 780 000, we obtain precisions in δ7Li measurements from 1.0 ‰ to 2.5 ‰. The method is validated by comparing the results with multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS), confirming its metrological compatibility. This work presents a fast, robust, and reliable method for δ7Li measurement in geological samples.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.10
自引率
12.10%
发文量
173
审稿时长
81 days
期刊介绍: Spectrochimica Acta Part B: Atomic Spectroscopy, is intended for the rapid publication of both original work and reviews in the following fields: Atomic Emission (AES), Atomic Absorption (AAS) and Atomic Fluorescence (AFS) spectroscopy; Mass Spectrometry (MS) for inorganic analysis covering Spark Source (SS-MS), Inductively Coupled Plasma (ICP-MS), Glow Discharge (GD-MS), and Secondary Ion Mass Spectrometry (SIMS). Laser induced atomic spectroscopy for inorganic analysis, including non-linear optical laser spectroscopy, covering Laser Enhanced Ionization (LEI), Laser Induced Fluorescence (LIF), Resonance Ionization Spectroscopy (RIS) and Resonance Ionization Mass Spectrometry (RIMS); Laser Induced Breakdown Spectroscopy (LIBS); Cavity Ringdown Spectroscopy (CRDS), Laser Ablation Inductively Coupled Plasma Atomic Emission Spectroscopy (LA-ICP-AES) and Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS). X-ray spectrometry, X-ray Optics and Microanalysis, including X-ray fluorescence spectrometry (XRF) and related techniques, in particular Total-reflection X-ray Fluorescence Spectrometry (TXRF), and Synchrotron Radiation-excited Total reflection XRF (SR-TXRF). Manuscripts dealing with (i) fundamentals, (ii) methodology development, (iii)instrumentation, and (iv) applications, can be submitted for publication.
期刊最新文献
Assessment of acupuncture's effectiveness in treating gulf war illness using laser induced breakdown spectroscopy and inductively coupled plasma mass spectrometry Characterization of the distribution of mineral elements in chromium-stressed rice (Oryza sativa L.) leaves based on laser-induced breakdown spectroscopy and data augmentation Rapid determination of 90Sr in seawater using a novel porous crown-based resin and tandem quadrupole ICP-MS/MS in cool plasma and O2-He mode Consideration of spectral interference in total reflection X-ray fluorescence analysis using a limited number of calibration samples: Case study of ocean polymetallic nodules Signal enhancement with double-pulse LIBS on biological samples and better discrimination of tissues through machine learning algorithms
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1