Article(id=1239173811283751573, tenantId=1146029695717560320, journalId=1205117023404326918, issueId=1239173808419033435, articleNumber=null, orderNo=null, doi=10.16155/j.0254-1793.2024.02.18, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1680710400000, receivedDateStr=2023-04-06, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773371659346, onlineDateStr=2026-03-13, pubDate=1709136000000, pubDateStr=2024-02-29, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773371659346, onlineIssueDateStr=2026-03-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773371659346, creator=13701087609, updateTime=1773371659346, updator=13701087609, issue=Issue{id=1239173808419033435, tenantId=1146029695717560320, journalId=1205117023404326918, year='2024', volume='44', issue='2', pageStart='185', pageEnd='372', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773371658663, creator=13701087609, updateTime=1773371757717, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1239174223944536397, tenantId=1146029695717560320, journalId=1205117023404326918, issueId=1239173808419033435, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1239174223944536398, tenantId=1146029695717560320, journalId=1205117023404326918, issueId=1239173808419033435, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=340, endPage=350, ext={EN=ArticleExt(id=1239173812936307359, articleId=1239173811283751573, tenantId=1146029695717560320, journalId=1205117023404326918, language=EN, title=Fingerprinting and chemical pattern recognition methods for preferential selection of the habitat of honeyed Eriobotryae Folium*, columnId=1239173809106899293, journalTitle=Chinese Journal of Pharmaceutical Analysis, columnName=Quality Contro, runingTitle=null, highlight=null, articleAbstract=
Objective:

To evaluate the quality of honeyed Eriobotryae Folium from different habitats and to select the best habitat of honeyed Eriobotryae Folium preferentially based on high performance liquid chromatography fingerprinting and chemical pattern recognition methods.

Methods:

The detection was performed on an AcclaimTM 120A C18 (250 mm×4.6 mm, 5 μm) column with the mobile phase of 0.2% aqueous phosphoric acid (A)-acetonitrile (B) in gradient elution (0-5 min, 5%B; 5-6 min, 5%B→10%B; 6-20 min, 10%B; 20-50 min, 10%B→25%B; 50-60 min, 25%B). The volume flow rate was 1.0 mL·min-1, the detection wavelength was 327 nm, the column temperature was 30 ℃, and the injection volume was 10 μL. The fingerprint profiles of 30 batches of honeyed Eriobotryae Folium from different habitats were established, and the fingerprint profiles combined with chemical pattern recognition were used to conduct comprehensive analysis of honeyed Eriobotryae Folium from different habitats. And cluster analysis(CA), principal component analysis (PCA) and comprehensive scoring were performed on honeyed Eriobotryae Folium from different habitats. Orthogonal partial least squares-discriminant analysis(OPLS-DA) was used to screen out the differential markers of honeyed Eriobotryae Folium from different habitats, and the habitats of honeyed Eriobotryae Folium were selected based on the comprehensive scoring.

Results:

The fingerprint profiles of 30 batches of honeyed Eriobotryae Folium were established. Twelve common peaks were identified, and 4 peaks were identified as neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid and auriculoside according to the control finger. CA divided the 30 batches of Honeyed Eriobotryae Folium samples into 6 categories. By PCA, 3 principal components were extracted, with a cumulative variance contribution of 84.315%. Six differential markers were obtained according to OPLS-DA, two of which were identified as chrysoside and chlorogenic acid. The better habitats of honeyed Eriobotryae Folium were screened as Sichuan, Guangxi, Guangdong and Shaanxi according to the comprehensive score.

Conclusion:

Good precision, repeatability and stability results are obtained for fingerprinting and content determination. The combination of fingerprinting and chemical pattern recognition can comprehensively evaluate the quality of honeyed Eriobotryae Folium, and this method is stable and reliable, which can provide an effective reference basis for the habitat study of honeyed Eriobotryae Folium.

, correspAuthors=Xiao SONG, 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, authorCompany=null, fund=null, authors=null, authorsList=Xin-bo ZHANG, Yun-lan WANG, Xuan LEI, Ying ZHANG, Xiao SONG), CN=ArticleExt(id=1239173814953767689, articleId=1239173811283751573, tenantId=1146029695717560320, journalId=1205117023404326918, language=CN, title=基于指纹图谱及化学模式识别方法优选蜜枇杷叶药材产地*, columnId=1239148842025799861, journalTitle=药物分析杂志, columnName=质量分析, runingTitle=null, highlight=null, articleAbstract=
目的:

基于高效液相色谱指纹图谱和化学模式识别方法,评价不同产地蜜枇杷叶的质量,优选出蜜枇杷叶的最佳产地。

方法:

采用AcclaimTM 120A C18(250 mm×4.6 mm,5 μm)色谱柱进行检测,流动相为0.2%磷酸水溶液(A)-乙腈(B),梯度洗脱(0~5 min,5%B;5~6 min,5%B→10%B;6~20 min,10%B;20~50 min,10%B→25%B;50~60 min,25%B),体积流量1.0 mL·min-1,检测波长327 nm,柱温30 ℃,进样量10 μL。建立30批不同产地蜜枇杷叶的指纹图谱,采用指纹图谱结合化学模式识别的方法对不同产地蜜枇杷叶进行综合分析,对不同产地蜜枇杷叶进行聚类分析(cluster analysis.CA)、主成分分析(principal component analysis.PCA)及综合评分,采用正交偏最小二乘判别分析(orthogonal partial least squares-discriminant analysis,OPLS-DA)筛选出不同产地蜜枇杷叶的差异标志物,根据综合评分优选出蜜枇杷叶的产地。

结果:

建立了30批蜜枇杷叶的指纹图谱,标定出12个共有峰,根据对照品指认出4个色谱峰,确定为新绿原酸、绿原酸、隐绿原酸、金丝桃苷;CA将30批蜜枇杷叶样品分为6类;经PCA提取出3个主成分,累计方差贡献率为84.315%;根据OPLS-DA筛选得到6个差异标志物,其中2个确定为金丝桃苷、绿原酸;根据综合评分筛选出蜜枇杷叶的较优产地为四川、广西、广东、陕西。

结论:

指纹图谱及含量测定过程中的精密度、重复性和稳定性均良好。指纹图谱与化学模式识别相结合方法可全面综合评价蜜枇杷叶质量,此方法稳定、可靠,可为蜜枇杷叶的产地研究提供有效的参考依据。

, correspAuthors=宋逍, authorNote=null, correspAuthorsNote=
**Tel:15319015083;E-mail:
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Tel:15769203985;E-mail:

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Chin J Pharm Anal202343(1): 103, articleTitle=Study on quality evaluation of Wuzi Yanzong pills based on HPLC fingerprint, assay and chemical pattern recognition, refAbstract=null), Reference(id=1239173829298286925, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, doi=null, pmid=null, pmcid=null, year=2023, volume=59, issue=2, pageStart=125, pageEnd=null, url=null, language=null, rfNumber=[15], rfOrder=28, authorNames=赵茜, 于佳萍, 章聚宝, journalName=理化检验-化学分册, refType=null, unstructuredReference=赵茜,于佳萍,章聚宝,等.基于高效液相色谱指纹图谱的不同产地不同采摘期昆仑雪菊的化学模式识别及抗氧化谱效关系探究[J]. 理化检验-化学分册202359(2):125, articleTitle=基于高效液相色谱指纹图谱的不同产地不同采摘期昆仑雪菊的化学模式识别及抗氧化谱效关系探究, refAbstract=null), Reference(id=1239173830384611663, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, doi=null, pmid=null, pmcid=null, year=2023, volume=59, issue=2, pageStart=125, pageEnd=null, url=null, language=null, rfNumber=[15], rfOrder=29, authorNames=ZHAO Q, YU JP, ZHANG JB, journalName=Phys Test Chem Anal Part B:Chem Anal, refType=null, unstructuredReference=ZHAO QYU JPZHANG JB, et al. Chemical pattern recognition and antioxidant spectrum-effect relationship development coreopsis tinctoria of Kunlun from different habitats and harvesting periods based on high performance liquid chromatography fingerprint[J]. Phys Test Chem Anal Part B:Chem Anal202359(2): 125, articleTitle=Chemical pattern recognition and antioxidant spectrum-effect relationship development coreopsis tinctoria of Kunlun from different habitats and harvesting periods based on high performance liquid chromatography fingerprint, refAbstract=null), Reference(id=1239173830460109135, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, doi=null, pmid=null, pmcid=null, year=2023, volume=38, issue=1, pageStart=95, pageEnd=null, url=null, language=null, rfNumber=[16], rfOrder=30, authorNames=程茜菲, 张玩涛, 彭修娟, journalName=华西药学杂志, refType=null, unstructuredReference=程茜菲,张玩涛,彭修娟,等.指纹图谱和化学模式识别评价前列舒通胶囊的质量[J]. 华西药学杂志202338(1):95, articleTitle=指纹图谱和化学模式识别评价前列舒通胶囊的质量, refAbstract=null), Reference(id=1239173830539800912, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, doi=null, pmid=null, pmcid=null, year=2023, volume=38, issue=1, pageStart=95, pageEnd=null, url=null, language=null, rfNumber=[16], rfOrder=31, authorNames=CHENG QF, ZHANG WT, PENG XJ, journalName=West China J Pharm Sci, refType=null, unstructuredReference=CHENG QFZHANG WTPENG XJ, et al. Quality evaluation of Qianlie Shutong capsules based on fingerprints and chemical pattern recognition[J]. West China J Pharm Sci202338 (1): 95, articleTitle=Quality evaluation of Qianlie Shutong capsules based on fingerprints and chemical pattern recognition, refAbstract=null)], funds=[Fund(id=1239173824588083407, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, awardId=21JC011, language=CN, fundingSource=*陕西省教育厅项目(21JC011), fundOrder=null, country=null), Fund(id=1239173824663580884, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, awardId=2021-04-ZZ-007, language=CN, fundingSource=陕西省中医药管理局(2021-04-ZZ-007), fundOrder=null, country=null), Fund(id=1239173824793604311, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, awardId=2019YFC1711204, language=CN, fundingSource=国家重点研发计划(2019YFC1711204), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1239173815293506334, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, xref=1., ext=[AuthorCompanyExt(id=1239173815301894942, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, companyId=1239173815293506334, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.Shaanxi University of Chinese Medicine, Xianyang 712046, China), AuthorCompanyExt(id=1239173815306089247, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, companyId=1239173815293506334, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.陕西中医药大学,咸阳 712046)]), AuthorCompany(id=1239173815406752548, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, xref=2., ext=[AuthorCompanyExt(id=1239173815415141157, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, companyId=1239173815406752548, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.Engineering Research Center for Pharmaceutics of Chinese Materia Medica and New Drug Development, Ministry of Education, Beijing 100029, China), AuthorCompanyExt(id=1239173815419335462, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, companyId=1239173815406752548, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.中药制药与新药开发教育部工程研究中心,北京 100029)])], figs=[ArticleFig(id=1239173820112760879, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Fig.1, caption=HPLC fingerprints and reference chromatogram of 30 batches of honeyed Eriobotryae Folium prepared slices (R), figureFileSmall=Sl6NR6z+ra14EQsBu2OWnw==, figureFileBig=z8MgBVHbY9WoAw3liYDGBA==, tableContent=null), ArticleFig(id=1239173820234395705, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=图1, caption=30批蜜枇杷叶中药饮片的HPLC指纹图谱及对照图谱(R), figureFileSmall=Sl6NR6z+ra14EQsBu2OWnw==, figureFileBig=z8MgBVHbY9WoAw3liYDGBA==, tableContent=null), ArticleFig(id=1239173821882757192, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Fig.2, caption=High performance liquid chromatogram of honeyed Eriobotryae Folium sample, figureFileSmall=7HSKiDKVmgYj9F85ZJ+lZA==, figureFileBig=3Bj4Dhg4bPEGsrcgmBvwGA==, tableContent=null), ArticleFig(id=1239173821954060366, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=图2, caption=蜜枇杷叶样品高效液相色谱图

1.新绿原酸(neochlorogenic acid) 3.绿原酸(chlorogenic acid) 4.隐绿原酸(cryptochlorogenic acid) 10.金丝桃苷(auriculoside)

, figureFileSmall=7HSKiDKVmgYj9F85ZJ+lZA==, figureFileBig=3Bj4Dhg4bPEGsrcgmBvwGA==, tableContent=null), ArticleFig(id=1239173822058917974, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Fig.3, caption=Tree chart of CA of honeyed Eriobotryae Folium samples, figureFileSmall=449swl6e13AtzRKER46Ktg==, figureFileBig=JyikRQ7u90tNXGXalEGP7A==, tableContent=null), ArticleFig(id=1239173822180552795, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=图3, caption=蜜枇杷叶样品CA树状图, figureFileSmall=449swl6e13AtzRKER46Ktg==, figureFileBig=JyikRQ7u90tNXGXalEGP7A==, tableContent=null), ArticleFig(id=1239173822281216098, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Fig.4, caption=Fingerprint of honeyed Eriobotryae Folium samples with common peaks and gravel map, figureFileSmall=k8OAZv3aWFiPBee8wJGw8Q==, figureFileBig=OQ0GFF7xZ9l82rEUV3hK3g==, tableContent=null), ArticleFig(id=1239173822398656614, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=图4, caption=蜜枇杷叶样品指纹图谱共有峰碎石图, figureFileSmall=k8OAZv3aWFiPBee8wJGw8Q==, figureFileBig=OQ0GFF7xZ9l82rEUV3hK3g==, tableContent=null), ArticleFig(id=1239173822503514221, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Fig.5, caption=PCA score chart, figureFileSmall=cqaxcrLzBO0yurpFlQN1ZQ==, figureFileBig=Ufd2IixYZoWX5proZlU5Ng==, tableContent=null), ArticleFig(id=1239173822587400304, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=图5, caption=PCA得分图, figureFileSmall=cqaxcrLzBO0yurpFlQN1ZQ==, figureFileBig=Ufd2IixYZoWX5proZlU5Ng==, tableContent=null), ArticleFig(id=1239173822700646517, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Fig.6, caption=Scatter plot for OPLS-DA of 30 batches of honeyed Eriobotryae Folium samples, figureFileSmall=mFTmOhLNYE8jMT6Ao1yNwQ==, figureFileBig=7lXtRlrRlsyRqDbgPlDjyA==, tableContent=null), ArticleFig(id=1239173822784532603, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=图6, caption=30批蜜枇杷叶样品OPLS-DA散点图, figureFileSmall=mFTmOhLNYE8jMT6Ao1yNwQ==, figureFileBig=7lXtRlrRlsyRqDbgPlDjyA==, tableContent=null), ArticleFig(id=1239173822885195903, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Fig.7, caption=VIP chart of components of 30 batches of honeyed Eriobotryae Folium samples, figureFileSmall=p0aIDzR6Q2bXEDf2ksnQLw==, figureFileBig=H6bFqnviqwvsqAcfBN/Dsw==, tableContent=null), ArticleFig(id=1239173822998442116, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=图7, caption=30批蜜枇杷叶样品各成分VIP图, figureFileSmall=p0aIDzR6Q2bXEDf2ksnQLw==, figureFileBig=H6bFqnviqwvsqAcfBN/Dsw==, tableContent=null), ArticleFig(id=1239173823124271241, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Tab.1, caption=

Information on 30 batches of honeyed Eriobotryae Folium samples

, figureFileSmall=null, figureFileBig=null, tableContent=
编号
(serial No.)
产地
(habitat)
批号
(batch No.)
编号
(serial No.)
产地
(habitat)
批号
(batch No.)
S1广东(Guangdong)200701CP174-AS16广西(Guangxi)2004015
S2安徽(Anhui)191001S17广西(Guangxi)20051301
S3安徽(Anhui)200201S18河南(Henan)20061803
S4安徽(Anhui)201001S19河南(Henan)21011503
S5安徽(Anhui)20200501-2S20江苏(Jiangsu)180901
S6广东(Guangdong)200401S21江苏(Jiangsu)20200301
S7广东(Guangdong)201002S22陕西(Shaanxi)190701
S8广东(Guangdong)2004002S23陕西(Shaanxi)200401
S9广东(Guangdong)2101001S24陕西(Shaanxi)201201
S10广东(Guangdong)2103004S25陕西(Shaanxi)210301
S11广东(Guangdong)20201203S26陕西(Shaanxi)210501
S12广东(Guangdong)20201229S27陕西(Shaanxi)20191001
S13广东(Guangdong)2002801001S28四川(Sichuan)20200608
S14广东(Guangdong)048M140801S29四川(Sichuan)191205251
S15广东(Guangdong)1905001-2S30四川(Sichuan)CM450210401
), ArticleFig(id=1239173823250100366, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=表1, caption=

30批蜜枇杷叶样品信息

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编号
(serial No.)
产地
(habitat)
批号
(batch No.)
编号
(serial No.)
产地
(habitat)
批号
(batch No.)
S1广东(Guangdong)200701CP174-AS16广西(Guangxi)2004015
S2安徽(Anhui)191001S17广西(Guangxi)20051301
S3安徽(Anhui)200201S18河南(Henan)20061803
S4安徽(Anhui)201001S19河南(Henan)21011503
S5安徽(Anhui)20200501-2S20江苏(Jiangsu)180901
S6广东(Guangdong)200401S21江苏(Jiangsu)20200301
S7广东(Guangdong)201002S22陕西(Shaanxi)190701
S8广东(Guangdong)2004002S23陕西(Shaanxi)200401
S9广东(Guangdong)2101001S24陕西(Shaanxi)201201
S10广东(Guangdong)2103004S25陕西(Shaanxi)210301
S11广东(Guangdong)20201203S26陕西(Shaanxi)210501
S12广东(Guangdong)20201229S27陕西(Shaanxi)20191001
S13广东(Guangdong)2002801001S28四川(Sichuan)20200608
S14广东(Guangdong)048M140801S29四川(Sichuan)191205251
S15广东(Guangdong)1905001-2S30四川(Sichuan)CM450210401
), ArticleFig(id=1239173823480787091, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Tab.2, caption=

Eigenvalues and variance contribution rates of three principal component factors

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主成分
(principal component)
特征值
(eigenvalue)
方差贡献率
(variance contribution rate)/%
累计方差贡献率
(cumulative variance contribution rate)/%
15.72047.67047.670
22.29819.15266.821
32.09917.49484.315
), ArticleFig(id=1239173823564673174, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=表2, caption=

3个主成分因子的特征值和方差贡献率

, figureFileSmall=null, figureFileBig=null, tableContent=
主成分
(principal component)
特征值
(eigenvalue)
方差贡献率
(variance contribution rate)/%
累计方差贡献率
(cumulative variance contribution rate)/%
15.72047.67047.670
22.29819.15266.821
32.09917.49484.315
), ArticleFig(id=1239173823661142170, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Tab.3, caption=

Component matrix analysis results after rotation

, figureFileSmall=null, figureFileBig=null, tableContent=
峰号(peak No.)主成分1(principal component 1)主成分2(principal component 2)主成分3(principal component 3)
10.8640.214-0.200
20.8140.3700.158
30.8820.2570.024
40.5340.794-0.189
50.0690.3210.913
60.1810.9220.132
70.6030.5430.301
80.8490.2290.096
90.8280.0890.178
100.8840.2020.320
110.7890.1880.220
120.196-0.1880.930
), ArticleFig(id=1239173823740833951, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=表3, caption=

旋转后的成分矩阵分析结果

, figureFileSmall=null, figureFileBig=null, tableContent=
峰号(peak No.)主成分1(principal component 1)主成分2(principal component 2)主成分3(principal component 3)
10.8640.214-0.200
20.8140.3700.158
30.8820.2570.024
40.5340.794-0.189
50.0690.3210.913
60.1810.9220.132
70.6030.5430.301
80.8490.2290.096
90.8280.0890.178
100.8840.2020.320
110.7890.1880.220
120.196-0.1880.930
), ArticleFig(id=1239173823841497255, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Tab.4, caption=

Principal component score and comprehensive score

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编号
(serial number)
主成分1
(principal component 1)
主成分2
(principal component 2)
主成分3
(principal component 3)
综合得分
(comprehensive score)
排名
(ranking)
S11.4930.176-0.5680.6474
S20.4560.495-0.2240.2738
S3-0.922-0.0310.978-0.27521
S4-0.816-1.408-0.789-0.79829
S5-0.726-1.226-0.738-0.71128
S61.0760.344-1.7690.2699
S7-0.3972.671-0.4760.24010
S8-0.5641.516-0.459-0.05817
S9-0.6312.609-0.0650.18911
S100.0210.8831.2100.3916
S11-0.3310.156-0.647-0.24119
S120.7020.1620.3830.4335
S130.727-0.5770.7410.3657
S14-0.872-0.3981.322-0.26120
S150.4150.085-0.1770.18313
S160.462-0.7420.6030.18312
S172.655-0.328-0.3281.1461
S18-0.130-0.1340.5790.01416
S19-1.335-0.3492.113-0.33424
S20-1.433-1.136-1.762-1.21030
S21-0.6740.284-0.374-0.33223
S22-0.459-1.112-0.929-0.59527
S23-0.353-0.7702.2260.07315
S240.525-0.702-0.1220.09414
S25-0.309-0.557-0.442-0.33222
S260.434-1.309-0.782-0.18118
S27-0.9320.430-1.296-0.58926
S281.982-0.1891.2631.1302
S29-1.2890.3080.302-0.50325
S301.2250.8510.2290.7883
), ArticleFig(id=1239173823942160557, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=表4, caption=

主成分得分和综合得分

, figureFileSmall=null, figureFileBig=null, tableContent=
编号
(serial number)
主成分1
(principal component 1)
主成分2
(principal component 2)
主成分3
(principal component 3)
综合得分
(comprehensive score)
排名
(ranking)
S11.4930.176-0.5680.6474
S20.4560.495-0.2240.2738
S3-0.922-0.0310.978-0.27521
S4-0.816-1.408-0.789-0.79829
S5-0.726-1.226-0.738-0.71128
S61.0760.344-1.7690.2699
S7-0.3972.671-0.4760.24010
S8-0.5641.516-0.459-0.05817
S9-0.6312.609-0.0650.18911
S100.0210.8831.2100.3916
S11-0.3310.156-0.647-0.24119
S120.7020.1620.3830.4335
S130.727-0.5770.7410.3657
S14-0.872-0.3981.322-0.26120
S150.4150.085-0.1770.18313
S160.462-0.7420.6030.18312
S172.655-0.328-0.3281.1461
S18-0.130-0.1340.5790.01416
S19-1.335-0.3492.113-0.33424
S20-1.433-1.136-1.762-1.21030
S21-0.6740.284-0.374-0.33223
S22-0.459-1.112-0.929-0.59527
S23-0.353-0.7702.2260.07315
S240.525-0.702-0.1220.09414
S25-0.309-0.557-0.442-0.33222
S260.434-1.309-0.782-0.18118
S27-0.9320.430-1.296-0.58926
S281.982-0.1891.2631.1302
S29-1.2890.3080.302-0.50325
S301.2250.8510.2290.7883
), ArticleFig(id=1239173824047018159, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Tab. 5, caption=

Linear relationship results of four components in honeyed Eriobotryae Folium

, figureFileSmall=null, figureFileBig=null, tableContent=
成分
(component)
回归方程
(regression equation)
r线性范围
(linear range)/(μg·mL-1)
新绿原酸(neochlorogenic acid)Y=0.227 8X-0.525 10.999 33.32~324.00
绿原酸(chlorogenic acid)Y=0.214 2X-1.368 70.999 84.29~419.00
隐绿原酸(cryptochlorogenic acid)Y=0.178 0X-1.236 00.999 12.59~252.80
金丝桃苷(auriculoside)Y=0.080 4X-0.105 10.999 31.26~123.00
), ArticleFig(id=1239173824135098547, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=表5, caption=

蜜枇杷叶中4个成分的线性关系考察结果

, figureFileSmall=null, figureFileBig=null, tableContent=
成分
(component)
回归方程
(regression equation)
r线性范围
(linear range)/(μg·mL-1)
新绿原酸(neochlorogenic acid)Y=0.227 8X-0.525 10.999 33.32~324.00
绿原酸(chlorogenic acid)Y=0.214 2X-1.368 70.999 84.29~419.00
隐绿原酸(cryptochlorogenic acid)Y=0.178 0X-1.236 00.999 12.59~252.80
金丝桃苷(auriculoside)Y=0.080 4X-0.105 10.999 31.26~123.00
), ArticleFig(id=1239173824218984634, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Tab.6, caption=

Test results of sample addition recovery of 4 components in honeyed Eriobotryae Folium

, figureFileSmall=null, figureFileBig=null, tableContent=
成分
(component)
称样量
(sample size)/g
样品含量
(sample content)/mg
加入量
(quantity added)/mg
测得量
(measured amount)/mg
回收率
(recovery)/%
平均回收率
(average recovery)/%
RSD/%
新绿原酸
(neochloro-genic acid)
0.500 50.962 80.771.736 7100.5100.70.32
0.501 60.964 90.771.739 5100.6
0.502 80.967 20.771.745 3101.1
0.503 30.968 10.971.969 9103.3102.21.5
0.503 00.967 60.971.966 1102.9
0.502 90.967 40.971.942 1100.5
0.502 70.967 01.162.175 2104.2104.80.63
0.503 40.968 31.162.192 0105.5
0.501 00.963 71.162.178 7104.7
绿原酸
(chlorogen-ic acid)
0.502 61.254 01.002.238 598.498.40.16
0.503 51.256 31.002.239 798.3
0.501 21.250 51.002.236 198.6
0.500 31.248 31.252.507 4100.7100.81.1
0.502 21.253 01.252.526 9101.9
0.504 21.258 01.252.504 599.7
0.500 91.249 81.502.750 1100.0101.71.5
0.500 71.249 31.502.793 9103.0
0.502 31.253 31.502.787 0102.2
隐绿原酸
(cryptochl-orogenic acid)
0.502 80.500 50.400.884 095.998.32.3
0.502 40.500 10.400.894 398.5
0.501 10.498 80.400.900 5100.4
0.500 70.498 40.501.016 7103.7101.12.7
0.500 50.498 20.501.005 3101.4
0.501 40.499 10.500.990 998.3
0.500 90.498 60.601.096 099.699.02.1
0.501 90.499 60.601.080 196.7
0.503 20.500 90.601.105 4100.7
金丝桃苷
(auriculosi-de)
0.500 20.303 90.240.547 3101.4102.31.5
0.500 70.304 20.240.547 5101.4
0.501 60.304 70.240.554 3104.0
0.501 90.304 90.300.608 7101.3101.21.2
0.501 50.304 70.300.604 8100.0
0.502 20.305 10.300.612 4102.4
0.500 90.304 30.370.686 9103.4102.21.3
0.502 00.305 00.370.678 1100.8
0.501 10.304 40.370.683 1102.3
), ArticleFig(id=1239173824298676415, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=表6, caption=

蜜枇杷叶中4个成分的加样回收率试验结果(n=3)

, figureFileSmall=null, figureFileBig=null, tableContent=
成分
(component)
称样量
(sample size)/g
样品含量
(sample content)/mg
加入量
(quantity added)/mg
测得量
(measured amount)/mg
回收率
(recovery)/%
平均回收率
(average recovery)/%
RSD/%
新绿原酸
(neochloro-genic acid)
0.500 50.962 80.771.736 7100.5100.70.32
0.501 60.964 90.771.739 5100.6
0.502 80.967 20.771.745 3101.1
0.503 30.968 10.971.969 9103.3102.21.5
0.503 00.967 60.971.966 1102.9
0.502 90.967 40.971.942 1100.5
0.502 70.967 01.162.175 2104.2104.80.63
0.503 40.968 31.162.192 0105.5
0.501 00.963 71.162.178 7104.7
绿原酸
(chlorogen-ic acid)
0.502 61.254 01.002.238 598.498.40.16
0.503 51.256 31.002.239 798.3
0.501 21.250 51.002.236 198.6
0.500 31.248 31.252.507 4100.7100.81.1
0.502 21.253 01.252.526 9101.9
0.504 21.258 01.252.504 599.7
0.500 91.249 81.502.750 1100.0101.71.5
0.500 71.249 31.502.793 9103.0
0.502 31.253 31.502.787 0102.2
隐绿原酸
(cryptochl-orogenic acid)
0.502 80.500 50.400.884 095.998.32.3
0.502 40.500 10.400.894 398.5
0.501 10.498 80.400.900 5100.4
0.500 70.498 40.501.016 7103.7101.12.7
0.500 50.498 20.501.005 3101.4
0.501 40.499 10.500.990 998.3
0.500 90.498 60.601.096 099.699.02.1
0.501 90.499 60.601.080 196.7
0.503 20.500 90.601.105 4100.7
金丝桃苷
(auriculosi-de)
0.500 20.303 90.240.547 3101.4102.31.5
0.500 70.304 20.240.547 5101.4
0.501 60.304 70.240.554 3104.0
0.501 90.304 90.300.608 7101.3101.21.2
0.501 50.304 70.300.604 8100.0
0.502 20.305 10.300.612 4102.4
0.500 90.304 30.370.686 9103.4102.21.3
0.502 00.305 00.370.678 1100.8
0.501 10.304 40.370.683 1102.3
), ArticleFig(id=1239173824390951108, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=EN, label=Tab.7, caption=

Content determination results of honeyed Eriobotryae Folium from different habitats

, figureFileSmall=null, figureFileBig=null, tableContent=
编号
(serial number)
含量(content)/(mg·g-1)
新绿原酸
(neochlorogenic acid)
绿原酸
(chlorogenic acid)
隐绿原酸
(cryptochlorogenic acid)
金丝桃苷
(auriculoside)
S11.923 62.495 10.995 50.607 5
S20.821 21.547 50.268 90.429 4
S30.306 51.099 80.096 60.305 3
S40.121 80.654 90.043 50.164 2
S50.089 80.392 70.054 40.276 6
S61.991 32.879 00.460 90.543 7
S70.714 41.463 80.566 90.470 5
S80.642 81.133 70.345 10.400 1
S90.645 71.431 20.436 40.359 5
S100.596 71.422 60.301 30.540 1
S110.698 71.416 40.238 30.249 5
S120.927 31.963 80.314 00.467 1
S130.622 01.533 50.197 10.546 4
S140.297 51.238 00.078 20.376 2
S151.029 61.597 90.220 50.390 1
S160.497 21.281 60.135 00.513 1
S172.547 82.601 80.376 60.796 7
S180.396 81.280 00.201 60.459 0
S190.111 50.676 10.072 40.314 1
S200.052 20.189 10.033 80.096 5
S210.382 40.928 20.197 20.296 4
S220.266 60.685 30.099 60.212 4
S230.364 11.335 40.086 20.475 9
S240.573 71.712 80.208 70.511 8
S250.743 21.394 10.147 30.261 9
S260.695 71.336 70.118 30.361 7
S270.427 10.844 00.229 40.212 8
S281.160 52.267 50.318 10.700 5
S290.279 00.794 00.106 70.218 0
S301.365 31.929 00.350 30.579 7
), ArticleFig(id=1239173824474837194, tenantId=1146029695717560320, journalId=1205117023404326918, articleId=1239173811283751573, language=CN, label=表7, caption=

不同产地蜜枇杷叶含量测定结果

, figureFileSmall=null, figureFileBig=null, tableContent=
编号
(serial number)
含量(content)/(mg·g-1)
新绿原酸
(neochlorogenic acid)
绿原酸
(chlorogenic acid)
隐绿原酸
(cryptochlorogenic acid)
金丝桃苷
(auriculoside)
S11.923 62.495 10.995 50.607 5
S20.821 21.547 50.268 90.429 4
S30.306 51.099 80.096 60.305 3
S40.121 80.654 90.043 50.164 2
S50.089 80.392 70.054 40.276 6
S61.991 32.879 00.460 90.543 7
S70.714 41.463 80.566 90.470 5
S80.642 81.133 70.345 10.400 1
S90.645 71.431 20.436 40.359 5
S100.596 71.422 60.301 30.540 1
S110.698 71.416 40.238 30.249 5
S120.927 31.963 80.314 00.467 1
S130.622 01.533 50.197 10.546 4
S140.297 51.238 00.078 20.376 2
S151.029 61.597 90.220 50.390 1
S160.497 21.281 60.135 00.513 1
S172.547 82.601 80.376 60.796 7
S180.396 81.280 00.201 60.459 0
S190.111 50.676 10.072 40.314 1
S200.052 20.189 10.033 80.096 5
S210.382 40.928 20.197 20.296 4
S220.266 60.685 30.099 60.212 4
S230.364 11.335 40.086 20.475 9
S240.573 71.712 80.208 70.511 8
S250.743 21.394 10.147 30.261 9
S260.695 71.336 70.118 30.361 7
S270.427 10.844 00.229 40.212 8
S281.160 52.267 50.318 10.700 5
S290.279 00.794 00.106 70.218 0
S301.365 31.929 00.350 30.579 7
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基于指纹图谱及化学模式识别方法优选蜜枇杷叶药材产地*
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张新博 1 , 汪芸兰 1 , 雷璇 1 , 张颖 1 , 宋逍 1, 2, **
药物分析杂志 | 质量分析 2024,44(2): 340-350
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药物分析杂志 | 质量分析 2024, 44(2): 340-350
基于指纹图谱及化学模式识别方法优选蜜枇杷叶药材产地*
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张新博1 , 汪芸兰1, 雷璇1, 张颖1, 宋逍1, 2, **
作者信息
  • 1.陕西中医药大学,咸阳 712046
  • 2.中药制药与新药开发教育部工程研究中心,北京 100029
  • Tel:15769203985;E-mail:

通讯作者:

**Tel:15319015083;E-mail:
Fingerprinting and chemical pattern recognition methods for preferential selection of the habitat of honeyed Eriobotryae Folium*
Xin-bo ZHANG1 , Yun-lan WANG1, Xuan LEI1, Ying ZHANG1, Xiao SONG1, 2, **
Affiliations
  • 1.Shaanxi University of Chinese Medicine, Xianyang 712046, China
  • 2.Engineering Research Center for Pharmaceutics of Chinese Materia Medica and New Drug Development, Ministry of Education, Beijing 100029, China
出版时间: 2024-02-29 doi: 10.16155/j.0254-1793.2024.02.18
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目的:

基于高效液相色谱指纹图谱和化学模式识别方法,评价不同产地蜜枇杷叶的质量,优选出蜜枇杷叶的最佳产地。

方法:

采用AcclaimTM 120A C18(250 mm×4.6 mm,5 μm)色谱柱进行检测,流动相为0.2%磷酸水溶液(A)-乙腈(B),梯度洗脱(0~5 min,5%B;5~6 min,5%B→10%B;6~20 min,10%B;20~50 min,10%B→25%B;50~60 min,25%B),体积流量1.0 mL·min-1,检测波长327 nm,柱温30 ℃,进样量10 μL。建立30批不同产地蜜枇杷叶的指纹图谱,采用指纹图谱结合化学模式识别的方法对不同产地蜜枇杷叶进行综合分析,对不同产地蜜枇杷叶进行聚类分析(cluster analysis.CA)、主成分分析(principal component analysis.PCA)及综合评分,采用正交偏最小二乘判别分析(orthogonal partial least squares-discriminant analysis,OPLS-DA)筛选出不同产地蜜枇杷叶的差异标志物,根据综合评分优选出蜜枇杷叶的产地。

结果:

建立了30批蜜枇杷叶的指纹图谱,标定出12个共有峰,根据对照品指认出4个色谱峰,确定为新绿原酸、绿原酸、隐绿原酸、金丝桃苷;CA将30批蜜枇杷叶样品分为6类;经PCA提取出3个主成分,累计方差贡献率为84.315%;根据OPLS-DA筛选得到6个差异标志物,其中2个确定为金丝桃苷、绿原酸;根据综合评分筛选出蜜枇杷叶的较优产地为四川、广西、广东、陕西。

结论:

指纹图谱及含量测定过程中的精密度、重复性和稳定性均良好。指纹图谱与化学模式识别相结合方法可全面综合评价蜜枇杷叶质量,此方法稳定、可靠,可为蜜枇杷叶的产地研究提供有效的参考依据。

蜜枇杷叶  /  指纹图谱  /  化学模式识别  /  主成分分析  /  新绿原酸  /  绿原酸  /  隐绿原酸  /  金丝桃苷
Objective:

To evaluate the quality of honeyed Eriobotryae Folium from different habitats and to select the best habitat of honeyed Eriobotryae Folium preferentially based on high performance liquid chromatography fingerprinting and chemical pattern recognition methods.

Methods:

The detection was performed on an AcclaimTM 120A C18 (250 mm×4.6 mm, 5 μm) column with the mobile phase of 0.2% aqueous phosphoric acid (A)-acetonitrile (B) in gradient elution (0-5 min, 5%B; 5-6 min, 5%B→10%B; 6-20 min, 10%B; 20-50 min, 10%B→25%B; 50-60 min, 25%B). The volume flow rate was 1.0 mL·min-1, the detection wavelength was 327 nm, the column temperature was 30 ℃, and the injection volume was 10 μL. The fingerprint profiles of 30 batches of honeyed Eriobotryae Folium from different habitats were established, and the fingerprint profiles combined with chemical pattern recognition were used to conduct comprehensive analysis of honeyed Eriobotryae Folium from different habitats. And cluster analysis(CA), principal component analysis (PCA) and comprehensive scoring were performed on honeyed Eriobotryae Folium from different habitats. Orthogonal partial least squares-discriminant analysis(OPLS-DA) was used to screen out the differential markers of honeyed Eriobotryae Folium from different habitats, and the habitats of honeyed Eriobotryae Folium were selected based on the comprehensive scoring.

Results:

The fingerprint profiles of 30 batches of honeyed Eriobotryae Folium were established. Twelve common peaks were identified, and 4 peaks were identified as neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid and auriculoside according to the control finger. CA divided the 30 batches of Honeyed Eriobotryae Folium samples into 6 categories. By PCA, 3 principal components were extracted, with a cumulative variance contribution of 84.315%. Six differential markers were obtained according to OPLS-DA, two of which were identified as chrysoside and chlorogenic acid. The better habitats of honeyed Eriobotryae Folium were screened as Sichuan, Guangxi, Guangdong and Shaanxi according to the comprehensive score.

Conclusion:

Good precision, repeatability and stability results are obtained for fingerprinting and content determination. The combination of fingerprinting and chemical pattern recognition can comprehensively evaluate the quality of honeyed Eriobotryae Folium, and this method is stable and reliable, which can provide an effective reference basis for the habitat study of honeyed Eriobotryae Folium.

honeyed Eriobotryae Folium  /  Fingerprinting  /  chemical pattern recognition  /  principal component analysis  /  neochlorogenic acid  /  chlorogenic acid  /  cryptochlorogenic acid  /  auriculoside
张新博, 汪芸兰, 雷璇, 张颖, 宋逍. 基于指纹图谱及化学模式识别方法优选蜜枇杷叶药材产地*. 药物分析杂志, 2024 , 44 (2) : 340 -350 . DOI: 10.16155/j.0254-1793.2024.02.18
Xin-bo ZHANG, Yun-lan WANG, Xuan LEI, Ying ZHANG, Xiao SONG. Fingerprinting and chemical pattern recognition methods for preferential selection of the habitat of honeyed Eriobotryae Folium*[J]. Chinese Journal of Pharmaceutical Analysis, 2024 , 44 (2) : 340 -350 . DOI: 10.16155/j.0254-1793.2024.02.18
枇杷叶,又名巴叶、芦桔叶,其性微寒,味苦,归肺、胃经,为蔷薇科枇杷属植物枇杷Eriobotrya japonica(Thunb.)Lindl.的干燥叶,始载于《名医别录》,列为中品,是清肺止咳的常用中药,其为革质,深绿色,背有白色绒毛,边缘成锯齿状,具有清肺止咳、降逆止呕之功效,用于肺热咳嗽、气逆喘急、胃热呕逆、烦热口渴等症[1-2]。现代研究表明,枇杷叶主要含有三萜酸类、挥发油类、黄酮类、糖苷类、多酚类、有机酸类、以及皂苷、鞣质及维生素B1等有效成分,具有抗炎、祛痰、止咳、抗肺纤维化、抗氧化、降血糖、抗肿瘤、止呕等药理活性[3],主要分布于我国江苏、安徽、浙江、江西、福建、台湾、四川等南方地区。枇杷叶炮制前后临床应用有所差异,生品长于清肺止咳,多用于肺热咳喘;蜜炙后能增强润肺止咳作用,常用于肺燥咳嗽;姜汁制枇杷叶多用于和胃止呕;甘草制枇杷叶多用于祛痰止咳;清炒枇杷叶少了滋腻之性,多用于治疗外感咳嗽、呕吐[4-5]。其中,蜜枇杷叶清肺化痰、润肺止咳,也是小儿消积止咳口服液中的臣药[6]。本研究通过HPLC指纹图谱与含量测定相结合,应用CA与PCA全面综合评价蜜枇杷叶的质量,为优选小儿消积止咳口服液中蜜枇杷叶的产地来源提供有效的参考依据。
UltiMate 3000高效液相色谱仪(赛默飞世尔科技公司);KQ-250DE型数控超声清洗器(昆山市超声仪器有限公司);电热鼓风干燥箱(北京科伟永鑫实验仪器设备场);高速多功能粉碎机(永康市铂欧五金制品有限公司);EL104型万分之一电子分析天平(梅特勒-托利多仪器有限公司)。
蜜枇杷叶中药饮片共30批,样品具体信息见表1。对照品绿原酸(批号B20780)、新绿原酸(批号B21396)、隐绿原酸(批号B21587)、金丝桃苷(批号B20631)均购自上海源叶生物技术有限公司,质量分数≥98%;乙腈(色谱纯,Fisher公司);水为纯净水(杭州娃哈哈集团有限公司);磷酸(色谱纯,天津市科密欧化学试剂有限公司);其余试剂均为分析纯。
色谱柱:AcclaimTM 120A C18(250 mm×4.6 mm,5 μm);流动相:0.2%磷酸水溶液(A)-乙腈(B),梯度洗脱(0~5 min,5%B;5~6 min,5%B→10%B;6~20 min,10%B;20~50 min,10%→25%B;50~60 min,25%B);体积流量:1.0 mL·min-1;检测波长:327 nm;柱温:30 ℃;进样量:10 μL。
精密称取饮片粉末1.0 g,置于10 mL量瓶中,精密加入甲醇10 mL,称量,超声(功率100 W,频率40 kHz)处理1 h,放置冷却至室温,用甲醇补足减失的量,摇匀,溶液过0.22 μm微孔滤膜,弃去初滤液,续滤液作为供试品溶液。
分别取新绿原酸、绿原酸、隐绿原酸、金丝桃苷的对照品适量,精密称定,置于10 mL量瓶中,用甲醇溶解,分别制得质量浓度为新绿原酸0.324 mg·mL-1、绿原酸0.419 mg·mL-1、隐绿原酸0.253 mg·mL-1、金丝桃苷0.123 mg·mL-1的对照品溶液。
按“2.2.1”项下方法制备1份供试品溶液,按“2.1”项下色谱条件连续进样6次,以绿原酸(3号峰)为参照峰(S),计算12个共有峰的相对保留时间和相对峰面积。结果各共有峰相对保留时间的RSD<1.0%,相对峰面积的RSD<3.0%,以《中药色谱指纹图谱相似度评价系统软件》评价,6次进样的相似度均为1.00,表明仪器精密度良好,符合指纹图谱要求。
按“2.2.1”项下方法平行制备6份供试品溶液,按“2.1”项下色谱条件进样,以绿原酸(3号峰)为参照峰(S),计算12个共有峰的相对保留时间和相对峰面积。计算得到各共有峰相对保留时间的RSD均<1.1%,相对峰面积的RSD均<3.0%,表明该方法重复性良好。
按“2.2.1”项下方法制备供试品溶液,按“2.1”项下色谱条件分别在0、2、4、8、12、24 h时进样,以绿原酸(3号峰)为参照峰(S),计算12个共有峰的相对保留时间和相对峰面积。计算得到各共有峰相对保留时间的RSD均<1.1%,相对峰面积的RSD均<3.0%,表明供试品溶液在24 h内稳定性良好。
将30批蜜枇杷叶按“2.2.1”项下方法制备供试品溶液,按“2.1”项下色谱条件进样,色谱图导入“中药色谱指纹图谱相似度评价系统(2012.1版本)”软件进行评价,设定S1样品的图谱为参照图谱,时间窗宽度为0.1,采用平均数法结合多点校正生成对照图谱,并进行相似度评价。30批蜜枇杷叶中药饮片的HPLC指纹图谱及对照图谱见图1。共标定了12个共有峰,通过与对照品图谱比对,指认了其中4个色谱峰(图2),其中峰1为新绿原酸、峰3为绿原酸、峰4为隐绿原酸、峰10为金丝桃苷。峰3出峰时间居中、峰面积较大且分离度良好,故选择3号色谱峰(绿原酸)作为参照峰(S),计算样品指纹图谱其他共有峰相对保留时间的RSD均<0.50%,表明30批蜜枇杷叶样品中12个共有峰的保留时间比较稳定;但共有峰相对峰面积的RSD范围在29%~67%,相差较大,显示这12个共有峰所代表化合物在不同产地、批次之间的含量差别很大。除S19号样品外,其他各批次样品与对照图谱的相似度均>0.91,可见大部分产地的蜜枇杷叶中药饮片的质量比较接近。
采用SPSS 25.0统计软件,以30批蜜枇杷叶共有峰面积为变量,采用组间联接法,Squared Euclidean distance聚类,对30批样品指纹图谱进行聚类分析(CA)。由CA谱系图(图3)可知,30批蜜枇杷叶饮片可聚为6类,其中S2、S3、S11、S13~S16、S18、S21、S23、S24~S27聚为一类,S7~S10聚为一类,S4、S5、S19、S20、S22、S29聚为一类,S12、S28、S30聚为一类,S1、S6聚为一类,S17为一类。结果提示,不同产地蜜枇杷叶饮片的化学成分存在差异。
以30批蜜枇杷叶共有峰峰面积为变量,采用SPSS 25.0和SIMCA 14.1进行主成分分析(PCA),以主成分特征值及方差贡献率作为选择主成分的依据。
以特征值>1为标准,提取出3个主成分,累计方差贡献率为84.315%(表2),表明提取出的3个主成分反映了30批蜜枇杷叶样品指纹图谱的主要信息,碎石图(图4)进一步说明了3个主成分可以表征蜜枇杷叶的整体特征。根据旋转后的成分矩阵分析结果(表3)可知,12个共有峰对第1、第2主成分都呈正相关,对第3主成分大多呈正相关。色谱峰1~3、色谱峰8~11对第1主成分贡献最大;峰4、6对第2主成分贡献最大,色谱峰5、色谱峰12对第3主成分贡献最大。
根据SPSS软件得到主成分得分(图5),再根据各主成分的贡献率,计算出综合得分,其公式为Z=0.477Z1+0.192Z2+0.175Z3,主成分得分和综合得分结果见表4。综合得分最高的为S17号样品,产地广西;其次是S28、S30号样品,产地四川;第4~7名分别为S1、S12、S13、S10号样品,产地广东;第8名为S2号样品,产地安徽;第9~11名为S6、S7、S11号样品,产地广东;第12名为S16号样品,产地广西;第13名为S15号样品,产地广东;第14~15名为S24、S23号样品,产地陕西;S20样品排名最后,产地江苏,考虑为批号较早,成分损失较为严重。从PCA及综合得分角度来看,本研究中四川产地蜜枇杷叶成分含量相对优于广西,广西产地蜜枇杷叶成分含量相对优于广东,产地为广东的样品综合得分排名在前20,比较稳定,广东产地蜜枇杷叶成分含量相对优于陕西。
将30批蜜枇杷叶的12个共有峰导入SIMCA 14.1统计软件进行偏最小二乘法判别分析(OPLS-DA),得到各批次蜜枇杷叶样品间差异性成分(图6)。由模型分析验证参数可知,Q2=-0.0158,表明不同产地蜜枇杷叶分组间的差异程度并不太大。以变量投影重要度(variable importance for the projection,VIP)>1.0为筛选标准,共得到6个差异标志物(图7),按照VIP大小依次为10号峰(金丝桃苷)、8号峰、7号峰、2号峰、9号峰、3号峰(绿原酸)。这些成分是30批蜜枇杷叶样品之间产生差异的主要原因,具有一定的标志性作用,今后对蜜枇杷叶的研究应重点关注上述成分的质量变化。
取质量浓度分别为0.324、0.419、0.252 8、0.123 mg·mL-1的新绿原酸、绿原酸、隐绿原酸、金丝桃苷对照品溶液,按浓度逐倍稀释后制得6个系列溶液,注入液相色谱仪,按照“2.1”项下色谱条件测定,以各成分对照品质量浓度X为横坐标,峰面积Y为纵坐标,绘制标准曲线,得回归方程。结果(表5)表明,对照品溶液质量浓度在相应范围内与峰面积有良好的线性关系。
精密吸取对照品溶液适量,按照“2.1”项下色谱条件连续进样6次测定,记录峰面积。计算各成分峰面积的RSD。结果新绿原酸、绿原酸、隐绿原酸、金丝桃苷峰面积的RSD分别为1.6%、1.9%、1.1%、1.4%,表明仪器精密度良好。
精密称取蜜枇杷叶样品粉末6份(批号200701CP174-A),按照“2.2.1”项下方法制备供试品溶液,按“2.1”项下色谱条件测定,记录峰面积,计算新绿原酸、绿原酸、隐绿原酸、金丝桃苷的含量(n=6)分别为1.923 6、2.495 1、0.995 5、0.607 5 mg·g-1,RSD分别为2.8%、2.1%、1.2%、2.5%,表明方法重复性良好。
取同一供试品溶液,于0、2、4、8、12、24 h进样分析,记录峰面积,计算新绿原酸、绿原酸、隐绿原酸、金丝桃苷峰面积的RSD分别为0.38%、2.6%、1.0%、0.79%,表明供试品溶液在24 h内稳定。
精密称定已测质量浓度的蜜枇杷叶样品9份,每份0.5 g,加入各对照品适量,按照“2.2.1”项下方法制备供试品溶液,按“2.1”项下方法进样测定,计算各成分的回收率。结果见表6
将30批蜜枇杷叶样品,按“2.2.1”项下方法制备供试品溶液,进样测定,计算含量。结果见表7
实验考察了乙腈-0.2%磷酸水溶液、甲醇-0.2%磷酸溶液2种不同流动相系统及比例,结果显示以乙腈-0.2%磷酸水溶液为流动相进行梯度洗脱时所得各色谱峰峰形较好,分离效果好。考察提取溶剂(甲醇、50%甲醇)、超声时间(30、60 min)、波长(327、365 nm)以及供试品溶液制备样品浓度(0.05、0.10 g·mL-1)对色谱图的影响,结果表明,在流动相为乙腈-0.2%磷酸水溶液、波长327 nm等条件下,以甲醇为溶剂超声处理60 min时,各成分提取率最高,所得色谱图基线平,色谱峰数量多、峰面积最佳。
本文结果表明,四川、广东、陕西的蜜枇杷叶质量较好,可为小儿消积止咳口服液制备过程中从中药饮片的产地选择提供较好的品质。研究用SIMAC软件进行PCA,采用OPLS-DA模型中VIP值筛选出6个具有统计学意义的差异标志物,并通过对照品指认出其中的2个成分为金丝桃苷和绿原酸,可考虑将其加入到小儿消积止咳口服液中质量控制的指标中。
  • *陕西省教育厅项目(21JC011)
  • 陕西省中医药管理局(2021-04-ZZ-007)
  • 国家重点研发计划(2019YFC1711204)
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2024年第44卷第2期
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doi: 10.16155/j.0254-1793.2024.02.18
  • 接收时间:2023-04-06
  • 首发时间:2026-03-13
  • 出版时间:2024-02-29
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  • 收稿日期:2023-04-06
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*陕西省教育厅项目(21JC011)
陕西省中医药管理局(2021-04-ZZ-007)
国家重点研发计划(2019YFC1711204)
作者信息
    1.陕西中医药大学,咸阳 712046
    2.中药制药与新药开发教育部工程研究中心,北京 100029

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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