LA-ICP-MS†定量分析生物样品中的硒和汞

IF 3.1 2区 化学 Q2 CHEMISTRY, ANALYTICAL
Zhihui Dai, Jiuyang Ding, Jiaojiao He, Chenglong Tu, Dengjun Wang, Dan Chen and Jingfu Wang
{"title":"LA-ICP-MS†定量分析生物样品中的硒和汞","authors":"Zhihui Dai, Jiuyang Ding, Jiaojiao He, Chenglong Tu, Dengjun Wang, Dan Chen and Jingfu Wang","doi":"10.1039/D5JA00169B","DOIUrl":null,"url":null,"abstract":"<p >Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has emerged as a powerful analytical tool to spatially resolve elemental quantification and multi-element bioimaging. This study presents a comprehensive methodology of LA-ICP-MS for the simultaneous quantification of selenium (Se) and mercury (Hg) in biological matrices, achieving micrometer-scale spatial resolution and maintaining analytical robustness. Critical challenges in Se quantification arising from potential spectral interferences were resolved through collision/reaction cell (CRC) technology optimization and strategic isotope selection (<small><sup>77</sup></small>Se and <small><sup>82</sup></small>Se), enabling interference-free detection. Notably, this study pioneered the quantitative characterization of polyatomic interferences through interference modeling. Distinct matrix-dependent signal behaviors were observed between organic-rich tissues (<em>e.g.</em>, liver) and protein-dominated matrices (<em>e.g.</em>, gelatin), underscoring the necessity for matrix-specific calibration strategies. The method demonstrated that both LA-ICP-MS and LA-ICP-MS/MS exhibited high precision (&lt;10% relative bias) in quantifying Se and Hg. Subsequent application to controlled exposure models provided more detailed information on Se/Hg biodistribution patterns. Collectively, this analytical advancement provides a valid method for investigating detoxification dynamics and elemental redistribution mechanisms in organs, particularly when the analysis was integrated with high-resolution mapping of Se–Hg antagonism at sub-organ resolution.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 8","pages":" 2095-2106"},"PeriodicalIF":3.1000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantitative analysis of selenium and mercury in biological samples using LA-ICP-MS†\",\"authors\":\"Zhihui Dai, Jiuyang Ding, Jiaojiao He, Chenglong Tu, Dengjun Wang, Dan Chen and Jingfu Wang\",\"doi\":\"10.1039/D5JA00169B\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has emerged as a powerful analytical tool to spatially resolve elemental quantification and multi-element bioimaging. This study presents a comprehensive methodology of LA-ICP-MS for the simultaneous quantification of selenium (Se) and mercury (Hg) in biological matrices, achieving micrometer-scale spatial resolution and maintaining analytical robustness. Critical challenges in Se quantification arising from potential spectral interferences were resolved through collision/reaction cell (CRC) technology optimization and strategic isotope selection (<small><sup>77</sup></small>Se and <small><sup>82</sup></small>Se), enabling interference-free detection. Notably, this study pioneered the quantitative characterization of polyatomic interferences through interference modeling. Distinct matrix-dependent signal behaviors were observed between organic-rich tissues (<em>e.g.</em>, liver) and protein-dominated matrices (<em>e.g.</em>, gelatin), underscoring the necessity for matrix-specific calibration strategies. The method demonstrated that both LA-ICP-MS and LA-ICP-MS/MS exhibited high precision (&lt;10% relative bias) in quantifying Se and Hg. Subsequent application to controlled exposure models provided more detailed information on Se/Hg biodistribution patterns. Collectively, this analytical advancement provides a valid method for investigating detoxification dynamics and elemental redistribution mechanisms in organs, particularly when the analysis was integrated with high-resolution mapping of Se–Hg antagonism at sub-organ resolution.</p>\",\"PeriodicalId\":81,\"journal\":{\"name\":\"Journal of Analytical Atomic Spectrometry\",\"volume\":\" 8\",\"pages\":\" 2095-2106\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Analytical Atomic Spectrometry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2025/ja/d5ja00169b\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Analytical Atomic Spectrometry","FirstCategoryId":"92","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2025/ja/d5ja00169b","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

摘要

激光烧蚀电感耦合等离子体质谱(LA-ICP-MS)已成为空间解析元素定量和多元素生物成像的有力分析工具。本研究提出了一种综合的LA-ICP-MS方法,用于同时定量生物基质中的硒(Se)和汞(Hg),实现微米尺度的空间分辨率并保持分析稳健性。通过碰撞/反应池(CRC)技术优化和战略性同位素选择(77Se和82Se),解决了潜在光谱干扰对硒定量产生的关键挑战,实现了无干扰检测。值得注意的是,本研究通过干涉建模开创了多原子干涉的定量表征。在富含有机物的组织(如肝脏)和蛋白质主导的基质(如明胶)之间观察到不同的基质依赖信号行为,强调了基质特异性校准策略的必要性。该方法表明,LA-ICP-MS和LA-ICP-MS/MS在定量硒和汞方面具有较高的精度(<;10%的相对偏差)。随后应用于控制暴露模型提供了更详细的硒/汞生物分布模式信息。总的来说,这一分析进展为研究器官解毒动力学和元素再分配机制提供了一种有效的方法,特别是当分析与亚器官分辨率的高分辨率硒汞拮抗图谱相结合时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantitative analysis of selenium and mercury in biological samples using LA-ICP-MS†

Quantitative analysis of selenium and mercury in biological samples using LA-ICP-MS†

Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has emerged as a powerful analytical tool to spatially resolve elemental quantification and multi-element bioimaging. This study presents a comprehensive methodology of LA-ICP-MS for the simultaneous quantification of selenium (Se) and mercury (Hg) in biological matrices, achieving micrometer-scale spatial resolution and maintaining analytical robustness. Critical challenges in Se quantification arising from potential spectral interferences were resolved through collision/reaction cell (CRC) technology optimization and strategic isotope selection (77Se and 82Se), enabling interference-free detection. Notably, this study pioneered the quantitative characterization of polyatomic interferences through interference modeling. Distinct matrix-dependent signal behaviors were observed between organic-rich tissues (e.g., liver) and protein-dominated matrices (e.g., gelatin), underscoring the necessity for matrix-specific calibration strategies. The method demonstrated that both LA-ICP-MS and LA-ICP-MS/MS exhibited high precision (<10% relative bias) in quantifying Se and Hg. Subsequent application to controlled exposure models provided more detailed information on Se/Hg biodistribution patterns. Collectively, this analytical advancement provides a valid method for investigating detoxification dynamics and elemental redistribution mechanisms in organs, particularly when the analysis was integrated with high-resolution mapping of Se–Hg antagonism at sub-organ resolution.

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
6.20
自引率
26.50%
发文量
228
审稿时长
1.7 months
期刊介绍: Innovative research on the fundamental theory and application of spectrometric techniques.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信