Article(id=1317115334843290343, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317115107243573307, articleNumber=null, orderNo=null, doi=10.13193/j.issn.1673-7717.2026.04.032, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791954366646, onlineDateStr=2026-10-14, pubDate=1775750400000, pubDateStr=2026-04-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791954366646, onlineIssueDateStr=2026-10-14, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791954366646, creator=13701087609, updateTime=1791954366646, updator=13701087609, issue=Issue{id=1317115107243573307, tenantId=1146029695717560320, journalId=1255847919539208197, year='2026', volume='44', issue='4', pageStart='1', pageEnd='258', issueExtLink='null', onlineDate='null', pubDate='1775750400000', pubDateStr='2026-04-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791954312382, creator='13701087609', updateTime=1791958738709, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1317133672680116252, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317115107243573307, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1317133672680116253, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317115107243573307, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=153, endPage=157, ext={EN=ArticleExt(id=1317115335048811240, articleId=1317115334843290343, tenantId=1146029695717560320, journalId=1255847919539208197, language=EN, title=Study on FT-IR Rapid Identification of Xiangfu（Cyperi Rhizoma）from Different Origins, columnId=1256183361521967297, journalTitle=Chinese Archives of Traditional Chinese Medicine, columnName=Target on National Project, runingTitle=null, highlight=null, articleAbstract=
Objective By analyzing the Fourier Transform Infrared Spectroscopy（FT-IR）spectrum of Xiangfu（Cyperi Rhizoma） from different origins, the main contribution band of the differences among the samples from different regions can be founded, so as to trace the origin of Xiangfu（Cyperi Rhizoma）.
Methods Using FT-IR and combining a variety of chemometric methods, 30 batches of samples from 3 producing areas were analyzed. Then the characteristic band peaks were screened according to the main active components, getting the main difference bands of the samples.
Results Selecting 991, 1018, 526, 1081, 2930, 932, 1514, 708, 579, 1159, 763, 1461 cm-1 as the main difference contribution bands, and the results of Hierarchical Cluster Analysis（HCA）, Principal Component Analysis（PCA）and Orthogonal Partial Least Squares Discriminant Analysis（OPLS-DA）could be clustered into three categories.
Conclusion According to the selected characteristic bands, Xiangfu（Cyperi Rhizoma） from different producing areas can be effectively distinguished. The experimental results also show that the differences of saccharides and acids in Xiangfu（Cyperi Rhizoma）from different producing areas can be focused on.
, authors=Yangjie XUE
1, Yanrong YANG
1, Hongyang SANG
1, Yunfa LI
1, Junhao QIAO
1, Haiyan GONG
1, 2, Caixia XIE
1, 2, Chunjing YANG
1, 3, JingWei LEI
1, authorsList=Yangjie XUE, Yanrong YANG, Hongyang SANG, Yunfa LI, Junhao QIAO, Haiyan GONG, Caixia XIE, Chunjing YANG, JingWei LEI, authorCompany=null, correspAuthors=Chunjing YANG, JingWei LEI, 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=1317115335329829609, articleId=1317115334843290343, tenantId=1146029695717560320, journalId=1255847919539208197, language=CN, title=不同产地香附的傅里叶变换红外光谱快速鉴别研究, columnId=1256183362172142382, journalTitle=中华中医药学刊, columnName=国家项目点击, runingTitle=null, highlight=null, articleAbstract=
目的 通过分析不同产地香附样品的傅里叶变换红外光谱（Fourier transform infrared spectroscopy，FT-IR），寻找不同产地样品间差异的主要贡献波段，以便对不同产地香附药材进行溯源。
方法 采用FT-IR技术，结合多种化学计量学方法，对3个产区共30批香附药材样本进行分析，按其主要有效成分筛选特征波段峰，分析出样品的主要差异波段。
结果 筛选出991、1018、526、1081、2930、932、1514、708、579、1159、763、1461 cm-1波段为差异主要贡献波段，层次聚类分析（Hierarchical cluster analysis，HCA）、主成分分析（Principal component analysis，PCA）与正交偏最小二乘判别分析（Orthogonal partial least squares discriminant analysis，OPLS-DA）结果均可聚为3类。
结论 根据选定的特征波段可以有效区分不同产地香附，实验结果还表明不同产地香附应重点关注糖类、酸类成分的差异。
, authors=薛洋洁
1, 杨颜溶
1, 桑宏扬
1, 李运法
1, 乔俊昊
1, 龚海燕
1, 2, 谢彩侠
1, 2, 杨春静
1, 3, 雷敬卫
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薛洋洁（1999-），女，山西运城人，硕士在读，研究方向：中药质量分析。
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