Article(id=1317133224111882296, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317133098966433889, articleNumber=null, orderNo=null, doi=10.13193/j.issn.1673-7717.2026.01.047, 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=1791958631779, onlineDateStr=2026-10-14, pubDate=1767974400000, pubDateStr=2026-01-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791958631779, onlineIssueDateStr=2026-10-14, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791958631779, creator=13701087609, updateTime=1791958631779, updator=13701087609, issue=Issue{id=1317133098966433889, tenantId=1146029695717560320, journalId=1255847919539208197, year='2026', volume='44', issue='1', pageStart='1', pageEnd='258', issueExtLink='null', onlineDate='null', pubDate='1767974400000', pubDateStr='2026-01-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791958601943, creator='13701087609', updateTime=1791958824557, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1317134032719171723, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317133098966433889, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1317134032719171724, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317133098966433889, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=246, endPage=252, ext={EN=ArticleExt(id=1317133224325791801, articleId=1317133224111882296, tenantId=1146029695717560320, journalId=1255847919539208197, language=EN, title=HPLC Fingerprint of Substance Benchmark and Determination of Six Components of Shaoyao Gancao Decoction（芍药甘草汤）, columnId=1256183365644968140, journalTitle=Chinese Archives of Traditional Chinese Medicine, columnName=Platform of Provincial Project, runingTitle=null, highlight=null, articleAbstract=
Objective To establish fingerprint and multi-components determination of substance benchmark of Shaoyao Gancao Decoction（芍药甘草汤，SGD）and provide reference for quality control and evaluation of SGD.
Methods The separation was performed on Waters Symmetry® C18 column（250 mm×4.6 mm，5μm）with acetonitrile -0.1% formic acid for gradient elution. The HPLC fingerprint of 15 batches of substance benchmark were established，and the contents of active components in the substance benchmark of SGD were determined.
Result The HPLC fingerprint of 15 batches of substance benchmark were established and a total of 8 common peaks were identified. The similarity evaluation system of traditional Chinese medicine was calculated and the result showed the similarity of characteristic chromatogram was greater than 0.90. Combining cluster analysis，principal component analysis and partial least squares discriminant analysis，the 15 batches of samples were classified into two types（one for S1-S4，S11，S12，and one for S5-S10，S13-S15）. Six known components including gallic acid，albiflorin，paeoniflorin，liquiritin apioside，liquiritin and glycyrrhizic acid were determined. The results of content determination were 2.46-3.31 mg·g-1，8.71-12.45 mg·g-1，20.97-33.14 mg·g-1，3.94-6.09 mg·g-1，4.41-6.03 mg·g-1，7.45-11.21 mg·g-1，respectively.
Conclusion The HPLC fingerprint combined with multi-components determination is stable and reliable. This study can lay a foundation for the quality control and evaluation of SGD.
, authors=Shijia GAO, Rui GAO, Ye JIN, Jie LUO, Lu LIU, authorsList=Shijia GAO, Rui GAO, Ye JIN, Jie LUO, Lu LIU, authorCompany=null, correspAuthors=null, 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=1317133224640364602, articleId=1317133224111882296, tenantId=1146029695717560320, journalId=1255847919539208197, language=CN, title=经典名方芍药甘草汤物质基准指纹图谱及6种成分含量测定研究, columnId=1256183369033965799, journalTitle=中华中医药学刊, columnName=省级项目平台, runingTitle=null, highlight=null, articleAbstract=
目的 建立经典名方芍药甘草汤（Shaoyao Gancao Decoction，SGD）物质基准指纹图谱及指标成分含量测定方法，为SGD的质量控制及评价提供参考。
方法 采用Waters Symmetry® C18色谱柱（250 mm×4.6 mm，5μm），以乙腈-0.1%甲酸为流动相梯度洗脱，建立15批SGD物质基准的HPLC指纹图谱及化学识别模式分析方法，并测定SGD物质基准中6个指标成分的含量。
结果 15批SGD物质基准指纹图谱共标定了8个共有峰，相似度均大于0.90；结合聚类分析、主成分分析、偏最小二乘判别分析，15批SGD物质基准分为两类，S1～S4、S11、S12为一类，S5～S10、S13～S15为一类；指认出没食子酸、芍药内酯苷、芍药苷、芹糖甘草苷、甘草苷、甘草酸6个色谱峰，对其进行含量测定，6种成分质量分数分别为2.46～3.31 mg·g-1、8.71～12.45 mg·g-1、20.97～33.14 mg·g-1、3.94～6.09 mg·g-1、4.41～6.03 mg·g-1、7.45～11.21 mg·g-1。
结论 建立的SGD物质基准指纹图谱及6种成分含量测定方法稳定、可靠，可为经典名方SGD质量控制和评价提供参考。
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