Article(id=1314917753128054785, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917704910340427, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1737302400000, receivedDateStr=2025-01-20, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430422336, onlineDateStr=2026-10-08, pubDate=1755619200000, pubDateStr=2025-08-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430422336, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430422336, creator=13701087609, updateTime=1791430422336, updator=13701087609, issue=Issue{id=1314917704910340427, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='8', pageStart='4145', pageEnd='4736', issueExtLink='null', onlineDate='null', pubDate='1755619200000', pubDateStr='2025-08-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430410840, creator='13701087609', updateTime=1791431909627, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314923991341555972, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917704910340427, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314923991345750277, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917704910340427, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4410, endPage=4422, ext={EN=ArticleExt(id=1314917756760322051, articleId=1314917753128054785, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Research status of fingerprinting and its application in the field of solid waste, columnId=1240689598498656298, journalTitle=China Environmental Science, columnName=Solid Waste, runingTitle=null, highlight=null, articleAbstract=

In order to understand the current research status of fingerprinting technology and clarify its application and prospects in the field of solid waste, the Web of Science (WOS) core database: Science Citation Index Expanded (SCI-Expanded) was relied upon to retrieve and analyze relevant literature from 2010 to 2024. It was found that the number of publications indicates that fingerprinting technology still maintains a high level of research interest. The subject clustering analysis shows that its application is extensive and its research interest in the environmental field has also been high in recent years. Keyword clustering reveals that the research hotspots are concentrated in four aspects: Recognition, ChemoInformatics, Deep learning, and Model. Keyword co-occurrence analysis of literature in the field of solid waste shows that there are few studies on the use of fingerprinting technology for solid waste management, mainly focusing on the post-processing stage. Through literature research, the data acquisition technology, feature extraction technology, and feature presentation forms of fingerprinting were summarized, and the possibility of applying emerging technologies in the field of solid waste and future development prospects were proposed.

, authors=Zhi-min ZHENG, Jin-zhong YANG^*, Qing-qi DIE, Fei WANG, Rui-xiao HUANG, Yu-fei YANG, Qi-fei HUANG, authorsList=Zhi-min ZHENG, Jin-zhong YANG, Qing-qi DIE, Fei WANG, Rui-xiao HUANG, Yu-fei YANG, Qi-fei HUANG, authorCompany=null, correspAuthors=Jin-zhong YANG, 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=1314917757360107524, articleId=1314917753128054785, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=指纹图谱技术研究现状及其在固废领域的应用, columnId=1240689598737731645, journalTitle=中国环境科学, columnName=固体废物, runingTitle=null, highlight=null, articleAbstract=

为了解指纹图谱技术研究现状并明确其在固废领域的应用现状与前景，依托Web of Science（WOS）核心数据库对2010~2024年相关文献进行检索和分析．发文量分析得知指纹图谱技术依然保持着较高的研究热度，学科聚类分析得知其应用广泛并且近几年在环境领域研究热度也较高；关键词聚类发现研究热点集中在4个方面：Recognition（识别）、ChemoInformatics（化学信息学）、Deep Learning（深度学习）以及Model（模型）．对固废领域文献进行关键词共现，得知其关于使用指纹图谱技术进行固废管理的研究较少，主要集中在后处理阶段．进行文献调研，对指纹图谱的数据获取技术、特征提取技术、特征呈现形式进行总结，提出固废领域应用新兴技术的可能性以及未来发展展望．

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郑志敏（2001-），男，湖南永州人，硕士研究生，研究方向为固废鉴识利用．zhengzhimin23@mails.ucas.ac.cn.

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郑志敏（2001-），男，湖南永州人，硕士研究生，研究方向为固废鉴识利用．zhengzhimin23@mails.ucas.ac.cn.

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