Article(id=1317125622250459165, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317125500041015883, articleNumber=null, orderNo=null, doi=10.13193/j.issn.1673-7717.2026.02.034, 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=1791956819354, onlineDateStr=2026-10-14, pubDate=1770652800000, pubDateStr=2026-02-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791956819354, onlineIssueDateStr=2026-10-14, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791956819354, creator=13701087609, updateTime=1791956819354, updator=13701087609, issue=Issue{id=1317125500041015883, tenantId=1146029695717560320, journalId=1255847919539208197, year='2026', volume='44', issue='2', pageStart='1', pageEnd='258', issueExtLink='null', onlineDate='null', pubDate='1770652800000', pubDateStr='2026-02-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791956790217, creator='13701087609', updateTime=1791958795145, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1317133909368877755, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317125500041015883, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1317133909373072060, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317125500041015883, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=201, endPage=206, ext={EN=ArticleExt(id=1317125622472757278, articleId=1317125622250459165, tenantId=1146029695717560320, journalId=1255847919539208197, language=EN, title=Analysis of Volatile Organic Compound Characteristics in Soil Associated with Wild Dihuang（Rehmannia glutinosa）Using GC-MS Combined with Multivariate Statistical Methods, columnId=1256183361521967297, journalTitle=Chinese Archives of Traditional Chinese Medicine, columnName=Target on National Project, runingTitle=null, highlight=null, articleAbstract=
Objective To analyze the volatile organic compounds（VOCs）in the soils associated with wild Dihuang（Rehmannia glutinosa）from different regions，providing a theoretical basis for exploring the causes of differences in Dihuang（Rehmannia glutinosa）medicinal materials across these regions.
Methods A total of 35 batches of wild Dihuang（Rehmannia glutinosa）-associated soils from the authentic and the non-authentic production areas were studied. The VOCs in the dichloromethane and ethyl acetate extracts were analyzed using gas chromatography-mass spectrometry（GC-MS）. Multivariate statistical analysis was performed on the normalized data using software such as SIMCA 14.1 and SPSS 24 to identify differences in VOCs between the authentic and the non-authentic regions.
Results The VOCs in the dichloromethane extracts primarily included esters，alcohols，alkanes and phenols，with significant differences in the relative contents of alkanes，phenols and esters between the authentic and the non-authentic regions. The ethyl acetate extracts mainly contained esters，alkanes，alcohols，phenols，amides and alkenes，with significant differences in these components between the regions. Multivariate statistical analysis indicated that soil samples were distinctly grouped by their region，with alkanes，acids and esters being the main contributors to the observed differences.
Conclusion Although the types of VOCs in soils associated with wild Dihuang（Rehmannia glutinosa）are similar between the authentic and the non-authentic regions，their relative contents differ significantly，with alkanes，acids and esters being the primary differentiating compounds.
, authors=Xue LIU
1, Mengjuan CHNEG
2, Fengqing WANG
3, Haiyan GONG
2, Qingpu LIU
2, Jingwei LEI
2, Juan ZHANG
2, Caixia XIE
1, 2, authorsList=Xue LIU, Mengjuan CHNEG, Fengqing WANG, Haiyan GONG, Qingpu LIU, Jingwei LEI, Juan ZHANG, Caixia XIE, 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=1317125622787330079, articleId=1317125622250459165, tenantId=1146029695717560320, journalId=1255847919539208197, language=CN, title=基于GC-MS结合多元统计方法分析野生地黄伴生土壤中挥发性有机物特征, columnId=1256183362172142382, journalTitle=中华中医药学刊, columnName=国家项目点击, runingTitle=null, highlight=null, articleAbstract=
目的 对不同产区野生地黄伴生土壤中挥发性有机物（Volatile organic compounds，VOCs）进行分析，为探讨地黄药材不同产区之间差异的成因提供理论依据。
方法 以道地与非道地产区的35批野生地黄伴生土壤作为研究对象，利用气相色谱-质谱联用（Gas chromatography-mass spectrometry，GC-MS）方法分析其二氯甲烷及乙酸乙酯部位中的VOCs，结合SIMCA 14.1、SPSS 24等统计软件对归一化后的数据进行多元统计分析，确定道地与非道地野生地黄伴生土壤VOCs的差异性。
结果 35批野生地黄伴生土壤中二氯甲烷部位的VOCs主要有酯类、醇类、烷烃类、酚类成分，其中烷烃类、酚类、酯类的相对含量在道地与非道地产区中差异存在统计学意义；乙酸乙酯部位的VOCs主要为酯类、烷烃类、醇类、酚类、酰胺类、烯烃类成分，其中酯类、烷烃类、醇类、酚类、酰胺类、烯烃类的相对含量在道地与非道地产区中差异存在统计学意义；多元统计学分析表明，野生地黄土壤样品均按照道地产区与非道地产区各自聚为一类，烷烃类、酸类、酯类为引起两者特征差异的主要成分。
结论 道地与非道地野生地黄土壤中所含的VOCs种类相似，但含量特征差异较大，烷烃类、酸类、酯类为主要差异性成分。
, authors=刘雪
1, 程梦娟
2, 王丰青
3, 龚海燕
2, 刘庆普
2, 雷敬卫
2, 张娟
2, 谢彩侠
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