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Accurate measurement of internal exposure to metal(loid) mixtures is crucial for early identification of disease risk. In this study, a multi-element analytical method based on inductively coupled plasma tandem mass spectrometry (ICP-MS/MS) was developed and optimized for the quantification of 35metals and metalloids in whole blood. The method demonstrated excellent linearity (R²>0.998), high sensitivity (limits of detection as low as 2.0ng/L), good precision (coefficient of variation < 15%), and acceptable accuracy (spike recovery rates ranging from 76.2% to 124%). The performance of this method was further validated by its application to whole blood samples collected from 211middle-aged and elderly residents living near a non-ferrous metal smelting area in China. Moreover, this application facilitated an assessment of population-level exposure characteristics of 35target elements. Elevated concentrations of toxic elements such as Pb and Cd—associated with smelting activities—were observed, while statistically significant variations across sex and age groups suggested potential demographic determinants of exposure heterogeneity(P < 0.05). This high-throughput quantitative approach to whole-blood metallomics holds great potential for elucidating the biological roles of multiple elements, and provides a robust analytical foundation for exposure assessment, environmental risk evaluation, and the development of health interventions in populations affected by industrial activities. The established protocol could be further expanded to encompass a broader range of target elements in future studies.

, authors=Xiao-chen SHANG¹, Le-yi LIU¹, Dong-sen WEN², Jie LI³, Wen-yue HOU¹, Hao WU¹, Peng-yu LIU¹, Su-zhen CAO^{1, *}, Xiao-li DUAN¹, authorsList=Xiao-chen SHANG, Le-yi LIU, Dong-sen WEN, Jie LI, Wen-yue HOU, Hao WU, Peng-yu LIU, Su-zhen CAO, Xiao-li DUAN, authorCompany=null, correspAuthors=Su-zhen CAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314917658852687921, articleId=1314917657913163823, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=基于ICP-MS/MS的全血多元素高通量分析方法的建立及其在人群暴露特征分析中的应用, columnId=1234106394006311784, journalTitle=中国环境科学, columnName=环境毒理与健康, runingTitle=null, highlight=null, articleAbstract=

准确测量金属元素组的内暴露对于疾病的早期判定至关重要．基于电感耦合等离子体串联质谱法（ICP-MS/MS），建立并优化了全血中35种金属和类金属元素的分析，该方法具有良好的线性（R²>0.998）、灵敏度（最低检出限低至2.0ng/L）、精密度（<15%）和准确度（加标回收率76.2/~124%）．应用该方法，分析了中国某有色金属冶炼厂附近211名中老年居民全血中的35种元素含量，验证了方法稳健性的同时，探究了该地区人群血液中金属和类金属元素的暴露特征．研究结果显示，该地区人群中Pb、Cd等与金属冶炼相关的有毒有害元素的浓度水平较高，部分人体必需元素和有毒有害元素表现出性别和年龄相关的差异性（P<0.05）．本研究提供了一种高通量定量全血元素组的方法，验证了该方法在大样本人群样本分析中的适用性，并为冶炼区人群金属联合暴露特征的识别和健康风险评估提供了可靠工具．基于本研究建立的方法，可进一步扩展目标元素种类．

, authors=尚晓晨¹, 刘乐怡¹, 温东森², 李杰³, 候雯玥¹, 吴昊¹, 刘鹏宇¹, 曹素珍^{1, *}, 段小丽¹, authorsList=尚晓晨, 刘乐怡, 温东森, 李杰, 候雯玥, 吴昊, 刘鹏宇, 曹素珍, 段小丽, authorCompany=null, correspAuthors=曹素珍, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=19I3jfG2iPz0jF3dX1aBPw==, magXml=TMkWdEb8OYxIbsrETeC/hg==, pdfUrl=null, pdf=tR33yCMA57CdAa3LuHSvhw==, pdfFileSize=1234903, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=jiwOTYo0bo2J0hUcNPlbDw==, mapNumber=null, fund=null)}, authors=[Author(id=1314917924050141924, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917657913163823, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=shangxc000@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917924163388134, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917657913163823, authorId=1314917924050141924, language=EN, stringName=Xiao-chen SHANG, firstName=Xiao-chen, middleName=null, lastName=SHANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917924243079911, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917657913163823, authorId=1314917924050141924, language=CN, stringName=尚晓晨, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.北京科技大学能源与环境工程学院，北京 100083, bio={"content":"

尚晓晨（1993-），女，辽宁辽阳人，北京科技大学博士研究生，主要从事环境暴露与健康研究．shangxc000@163.com.

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尚晓晨（1993-），女，辽宁辽阳人，北京科技大学博士研究生，主要从事环境暴露与健康研究．shangxc000@163.com.

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