Article(id=1304415564252865155, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1304415531491152712, articleNumber=null, orderNo=null, doi=10.7501/j.issn.0253-2670.2026.09.025, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1764518400000, receivedDateStr=2025-12-01, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1788926505386, onlineDateStr=2026-09-09, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1788926505386, onlineIssueDateStr=2026-09-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1788926505386, creator=13701087609, updateTime=1788926505386, updator=13701087609, issue=Issue{id=1304415531491152712, tenantId=1146029695717560320, journalId=1302319053441957962, year='2026', volume='57', issue='9', pageStart='3261', pageEnd='3684', issueExtLink='null', onlineDate='null', pubDate='1778515200000', pubDateStr='2026-05-12', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1788926497576, creator='13701087609', updateTime=1788926796984, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1304416787358049066, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1304415531491152712, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1304416787358049067, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1304415531491152712, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=3572, endPage=3578, ext={EN=ArticleExt(id=1304415564554855045, articleId=1304415564252865155, tenantId=1146029695717560320, journalId=1302319053441957962, language=EN, title=Study on multi-wavelength fingerprints of Hemerocallis citrina leaves and five index components by QAMS, columnId=null, journalTitle=Chinese Traditional and Herbal Drugs, columnName=null, runingTitle=null, highlight=null, articleAbstract=Objective Huanghuacai (Hemerocallis citrina) is a traditional vegetable with anti-inflammatory and anti-depressant effects. Its leaves are widely used in Taiwan and other regions to promote sleep, however, there are few reports on its chemical composition. This article aims to analyze the characteristic components of H. citrina leaves by fingerprint spectrum and to further determine the content of the index components, including chlorogenic acid, rutin, quercetin-3-O-glucoside, quercitrin, and quercetin, providing a basis for better utilization and quality evaluation of H. citrina leaves. Methods Firstly, the ethanol extraction method was used to prepare H. citrina leaves extract. Chromatographic separation was performed by DIKMA spursil C18 column (250 mm × 4.6 mm, 5 mm) maintained at 30 ℃ and the mobile phase was acetonitrile-0.5% acetic acid water. The injection volume was 10 mL, the detection wavelength was 190—400 nm and the flow rate was 1 mL/min. Based on the principle of maximum absorption wavelength, the wavelengths of 258 nm was selected in two periods of 0—5.5 and 23—48 min, the wavelengths of 300 and 370 nm were selected in two periods of 5.5—23 and 48—80 min respectively, and a three-wavelength switching fingerprint was constructed. Secondly,a quantitative analysis of multi-components by single marker (QAMS) was used to determine the contents of chlorogenic acid, rutin, quercetin-3-O-glucoside, quercetin, and quercetin in ethanol extract of H. citrina leaves. Results The similarity of fingerprint spectrums of 10 batches of H. citrina leaves was above 0.90, and the three-wavelength switching fingerprint spectrums included 42 common peaks (accounting for more than 90% of the total peak area), of which 11, 25, and 26, 32 and 37 were identified as chlorogenic acid, rutin, quercetin-3-O-glucoside, quercitrin, and quercetin. With quercetin (S) as the internal reference, the relative correction factors of chlorogenic acid, rutin, quercetin-3-O-glucoside, and quercitrin were obtained by the QAMS as 1.402, 1.896, 1.268, 1.221. The average contents of the above five components in 10 batches of H. citrina leaves are 0.079, 0.086, 0.374, 0.325, 0.037 mg/g. There was no significant difference between the external standard method and QAMS. Conclusion The three-wavelength switching fingerprint spectrum constructed in this study has significantly increased the number of chromatographic peaks contained in any single wavelength fingerprint spectrum and can be used to characterize the chemical composition of H. citrina leaves. The QAMS further constructed can be used to determine the content of chlorogenic acid, rutin, quercetin-3-O-glucoside, quercitrin, and quercetin at one time. This study provides a methodological basis and reference for the comprehensive evaluation of H. citrina leaves quality., authors=ZHANG Ju, ZHANG Qiannian, CAO Yangyang, HAN Jiabing, SONG Pingping, WANG Yanping, HU Fangdi, authorsList=ZHANG Ju, ZHANG Qiannian, CAO Yangyang, HAN Jiabing, SONG Pingping, WANG Yanping, HU Fangdi, 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=1304415564470968964, articleId=1304415564252865155, tenantId=1146029695717560320, journalId=1302319053441957962, language=CN, title=黄花菜叶多波长指纹图谱的建立及一测多评法测定其中5种指标成分, columnId=1304140203967410414, journalTitle=中草药, columnName=药材与资源, runingTitle=null, highlight=null, articleAbstract=目的 通过指纹图谱分析黄花菜Hemerocallis citrina叶的特征成分,进一步对其中指标成分绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷、槲皮素进行含量测定,以期为黄花菜叶利用及其质量评价提供依据。方法 采用乙醇提取法制备黄花菜叶提取物,选用色谱柱DIKMA spursil C₁₈柱(250 mm×4.6 mm,5 mm),流动相为乙腈-0.5%乙酸水,进样量10 mL,检测波长为190~400 nm,柱温30 ℃,体积流量1 mL/min,采集时间80 min;基于最大吸收波长原则,分别在时间段0~5.5 min和23~48 min选择258 nm,5.5~23 min选择300 nm,48~80 min选择370 nm作为检测波长,构建了3波长切换指纹图谱。采用一测多评法(quantitative analysis of multi-components by single-marker,QAMS)测定黄花菜叶乙醇提取物中绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷、槲皮素5种酚类成分的含量。结果 10批黄花菜叶的指纹图谱相似度在0.90以上,所构建的3波长切换指纹图谱共包括42个共有峰(占总峰面积90%以上),其中峰11、25、26、32、37被鉴定为绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷、槲皮素。以槲皮素(S)为内参物,QAMS法获得绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷的相对校正因子分别为1.402、1.896、1.268、1.221。10批黄花菜叶中上述5种成分的平均含量为0.079、0.086、0.374、0.325、0.037 mg/g。外标法与QAMS法的含量测定结果无显著性差异。结论 3波长切换指纹图谱较任何单一波长指纹图谱所包含的色谱峰数均有显著提升,所构建的多波长切换指纹图谱可用于黄花菜叶化学成分表征,进一步构建的QAMS法可以一次性实现绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷、槲皮素5种成分的含量测定,为全面评价黄花菜叶质量提供了方法学依据和参考。, authors=张菊1, 张乾年1, 曹阳洋1, 韩佳冰1, 宋平平1, 王燕萍1, 胡芳弟1, authorsList=张菊, 张乾年, 曹阳洋, 韩佳冰, 宋平平, 王燕萍, 胡芳弟, authorCompany=1 兰州大学药学院功能有机分子化学国家重点实验室, 甘肃 兰州 730000, correspAuthors=胡芳弟, authorNote=张菊: 张菊(1996-),女,硕士研究生,主要从事中药成分分离分析研究。Tel:18419151426 E-mail:zhangju19@lzu.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=OL0nLt56g5LPZf4Y5Pnntw==, pdfFileSize=746268, 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=河南省重点研发专项(251111310500);河南省重点研发专项(31111312700);河南省重点研发专项(241111310200);国家自然科学基金资助项目(82104329);国家自然科学基金资助项目(32401226);中国博士后科学基金特别资助项目(2014T170252);河南省国际科技合作项日(242102521056);河南中医药大学科研苗圃工程资助项目(MP2024-56))}, authors=null, keywords=[Keyword(id=1304415564689072774, tenantId=1146029695717560320, journalId=1302319053441957962, 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pdfUrlEn=https://castjournals.cast.org.cn/joweb/zcy/EN/PDF/10.7501/j.issn.0253-2670.2026.09.025, aliStartDate=null, aliEndDate=null, collectionFlag=false, citedCount=null, citedUrl=null, previewStatus=0, delFlag=0, hasFullText=0, orderTime=1788926505386, fullTextJson=null, articleText=null, reference=中国科学院中国植物志编辑委员会.中国植物志(第14卷)[M].北京:科学出版社, 1980:56.
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杨冉冉,姬蕾,李二文,等.鸡血藤的HPLC指纹图谱及模式识别研究[J].中草药, 2017, 48(21):4530-4536.
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董双涛,徐丽霞,高建平,等.基于一测多评定量联合化学计量学及Logistic回归模型的白前质量等级预测[J].中草药, 2025, 56(2):656-666.
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耿峰,杜娟,李志远,等.基于一测多评多指标成分定量联合化学计量学及加权TOPSIS模型的肉豆蔻质量评价[J].中草药, 2025, 56(8):2925-2935.
唐亚男,张文丽,闫婕,等.基于HPLC指纹图谱和一测多评法结合化学计量法的黄连须质量评价研究[J].中草药, 2025, 56(22):8347-8356.
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中草药 |药材与资源 2026 , 57 (9) : 3572 -3578
黄花菜叶多波长指纹图谱的建立及一测多评法测定其中5种指标成分
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张菊1, 张乾年1, 曹阳洋1, 韩佳冰1, 宋平平1, 王燕萍1, 胡芳弟1
作者信息
    1 兰州大学药学院功能有机分子化学国家重点实验室, 甘肃 兰州 730000
通讯作者:
胡芳弟
作者简介:
张菊: 张菊(1996-),女,硕士研究生,主要从事中药成分分离分析研究。Tel:18419151426 E-mail:zhangju19@lzu.edu.cn
Study on multi-wavelength fingerprints of Hemerocallis citrina leaves and five index components by QAMS
  • ZHANG Ju, ZHANG Qiannian, CAO Yangyang, HAN Jiabing, SONG Pingping, WANG Yanping, HU Fangdi
  • Affiliations
    doi: 10.7501/j.issn.0253-2670.2026.09.025
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    目的 通过指纹图谱分析黄花菜Hemerocallis citrina叶的特征成分,进一步对其中指标成分绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷、槲皮素进行含量测定,以期为黄花菜叶利用及其质量评价提供依据。方法 采用乙醇提取法制备黄花菜叶提取物,选用色谱柱DIKMA spursil C₁₈柱(250 mm×4.6 mm,5 mm),流动相为乙腈-0.5%乙酸水,进样量10 mL,检测波长为190~400 nm,柱温30 ℃,体积流量1 mL/min,采集时间80 min;基于最大吸收波长原则,分别在时间段0~5.5 min和23~48 min选择258 nm,5.5~23 min选择300 nm,48~80 min选择370 nm作为检测波长,构建了3波长切换指纹图谱。采用一测多评法(quantitative analysis of multi-components by single-marker,QAMS)测定黄花菜叶乙醇提取物中绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷、槲皮素5种酚类成分的含量。结果 10批黄花菜叶的指纹图谱相似度在0.90以上,所构建的3波长切换指纹图谱共包括42个共有峰(占总峰面积90%以上),其中峰11、25、26、32、37被鉴定为绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷、槲皮素。以槲皮素(S)为内参物,QAMS法获得绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷的相对校正因子分别为1.402、1.896、1.268、1.221。10批黄花菜叶中上述5种成分的平均含量为0.079、0.086、0.374、0.325、0.037 mg/g。外标法与QAMS法的含量测定结果无显著性差异。结论 3波长切换指纹图谱较任何单一波长指纹图谱所包含的色谱峰数均有显著提升,所构建的多波长切换指纹图谱可用于黄花菜叶化学成分表征,进一步构建的QAMS法可以一次性实现绿原酸、芦丁、槲皮素-3-O-葡萄糖苷、槲皮苷、槲皮素5种成分的含量测定,为全面评价黄花菜叶质量提供了方法学依据和参考。
    黄花菜植物叶  /  HPLC指纹图谱  /  多波长切换  /  多成分含量测定  /  一测多评  /  绿原酸  /  芦丁  /  槲皮素-3-O-葡萄糖苷  /  槲皮苷  /  槲皮素
    Objective Huanghuacai (Hemerocallis citrina) is a traditional vegetable with anti-inflammatory and anti-depressant effects. Its leaves are widely used in Taiwan and other regions to promote sleep, however, there are few reports on its chemical composition. This article aims to analyze the characteristic components of H. citrina leaves by fingerprint spectrum and to further determine the content of the index components, including chlorogenic acid, rutin, quercetin-3-O-glucoside, quercitrin, and quercetin, providing a basis for better utilization and quality evaluation of H. citrina leaves. Methods Firstly, the ethanol extraction method was used to prepare H. citrina leaves extract. Chromatographic separation was performed by DIKMA spursil C18 column (250 mm × 4.6 mm, 5 mm) maintained at 30 ℃ and the mobile phase was acetonitrile-0.5% acetic acid water. The injection volume was 10 mL, the detection wavelength was 190—400 nm and the flow rate was 1 mL/min. Based on the principle of maximum absorption wavelength, the wavelengths of 258 nm was selected in two periods of 0—5.5 and 23—48 min, the wavelengths of 300 and 370 nm were selected in two periods of 5.5—23 and 48—80 min respectively, and a three-wavelength switching fingerprint was constructed. Secondly,a quantitative analysis of multi-components by single marker (QAMS) was used to determine the contents of chlorogenic acid, rutin, quercetin-3-O-glucoside, quercetin, and quercetin in ethanol extract of H. citrina leaves. Results The similarity of fingerprint spectrums of 10 batches of H. citrina leaves was above 0.90, and the three-wavelength switching fingerprint spectrums included 42 common peaks (accounting for more than 90% of the total peak area), of which 11, 25, and 26, 32 and 37 were identified as chlorogenic acid, rutin, quercetin-3-O-glucoside, quercitrin, and quercetin. With quercetin (S) as the internal reference, the relative correction factors of chlorogenic acid, rutin, quercetin-3-O-glucoside, and quercitrin were obtained by the QAMS as 1.402, 1.896, 1.268, 1.221. The average contents of the above five components in 10 batches of H. citrina leaves are 0.079, 0.086, 0.374, 0.325, 0.037 mg/g. There was no significant difference between the external standard method and QAMS. Conclusion The three-wavelength switching fingerprint spectrum constructed in this study has significantly increased the number of chromatographic peaks contained in any single wavelength fingerprint spectrum and can be used to characterize the chemical composition of H. citrina leaves. The QAMS further constructed can be used to determine the content of chlorogenic acid, rutin, quercetin-3-O-glucoside, quercitrin, and quercetin at one time. This study provides a methodological basis and reference for the comprehensive evaluation of H. citrina leaves quality.
    Hemerocallis citrina Baroni. leaves  /  HPLC fingerprint spectrum  /  multi-wavelength switching  /  quantitative analysis of multi-components  /  QAMS  /  chlorogenic acid  /  rutin  /  quercetin-3-O-glucoside  /  quercitrin
    张菊, 张乾年, 曹阳洋, 韩佳冰, 宋平平, 王燕萍, 胡芳弟. 黄花菜叶多波长指纹图谱的建立及一测多评法测定其中5种指标成分. 中草药, 2026 , 57 (9) : 3572 -3578 . DOI: 10.7501/j.issn.0253-2670.2026.09.025
    ZHANG Ju, ZHANG Qiannian, CAO Yangyang, HAN Jiabing, SONG Pingping, WANG Yanping, HU Fangdi. Study on multi-wavelength fingerprints of Hemerocallis citrina leaves and five index components by QAMS[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (9) : 3572 -3578 . DOI: 10.7501/j.issn.0253-2670.2026.09.025

      河南省重点研发专项(251111310500);河南省重点研发专项(31111312700);河南省重点研发专项(241111310200);国家自然科学基金资助项目(82104329);国家自然科学基金资助项目(32401226);中国博士后科学基金特别资助项目(2014T170252);河南省国际科技合作项日(242102521056);河南中医药大学科研苗圃工程资助项目(MP2024-56)

    参考文献 引证文献
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    唐道邦,夏延斌,张滨,等.黄花菜的食用价值及开发利用[J].中国食物与营养, 2003, 9(8):23-24.
    南京中医药大学.中药大辞典[M].上海:上海科学与技术出版社, 1947:45.
    Gu L, Liu Y J, Wang Y B, et al. Role for monoaminergic systems in the antidepressant-like effect of ethanol extracts from Hemerocallis citrina[J]. J Ethnopharmacol, 2012,139(3):780-787.
    杜秉健.黄花菜水醇提取物的抗抑郁和促睡眠活性及综合利用研究[D].北京:中国农业大学, 2014.
    Uezu E. Effects of Hemerocallis on sleep in mice[J].Psychiatry Clin Neurosci, 1998, 52(2):136-137.
    Zhang Y J, Cichewicz R H, Nair M G. Lipid peroxidation inhibitory compounds from daylily(Hemerocallis fulva)leaves[J]. Life Sci, 2004, 75(6):753-763.
    Liu J H, Zhong X H, Jiang Y Y, et al. Systematic identification metabolites of Hemerocallis citrina Borani by highperformance liquid chromatography/quadrupole-time-offlight mass spectrometry combined with a screening method[J]. J Pharm Biomed Anal, 2020, 186:113314.
    Liang Y X, Huang R M, Chen Y C, et al. Study on the sleep-improvement effects of Hemerocallis citrina baroni in Drosophila melanogaster and targeted screening to identify its active components and mechanism[J]. Foods,2021, 10(4):883.
    聂韡,朱培林,房海灵,等. HPLC指纹图谱结合化学计量学评价不同产地广东紫珠药材的质量[J].中草药, 2017, 48(1):185-191.
    杨冉冉,姬蕾,李二文,等.鸡血藤的HPLC指纹图谱及模式识别研究[J].中草药, 2017, 48(21):4530-4536.
    尤春雪,张振秋,李峰,等. HPLC波长切换技术对葛根中8种成分的测定及指纹图谱研究[J].中草药,2013, 44(5):616-621.
    王智民,钱忠直,张启伟,等.一测多评法建立的技术指南[J].中国中药杂志, 2011, 36(6):787-796.
    王延群.安神解郁选合欢[J].现代养生, 2017(13):23.
    黄斌,张瑞贤.合欢蠲忿,萱草忘忧[J].江西中医药,2004, 35(2):61.
    潘红.萱草花化学成分与质量控制研究[D].北京:北京中医药大学, 2012.
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    张潇,田俊生,刘欢,等.抗抑郁中药新药研发进展[J].中国中药杂志, 2017, 42(1):29-33.
    董双涛,徐丽霞,高建平,等.基于一测多评定量联合化学计量学及Logistic回归模型的白前质量等级预测[J].中草药, 2025, 56(2):656-666.
    左岚,孟胜男.一测多评法在中药药物分析中的应用进展[J].中国药房, 2016, 27(18):2589-2592.
    耿峰,杜娟,李志远,等.基于一测多评多指标成分定量联合化学计量学及加权TOPSIS模型的肉豆蔻质量评价[J].中草药, 2025, 56(8):2925-2935.
    唐亚男,张文丽,闫婕,等.基于HPLC指纹图谱和一测多评法结合化学计量法的黄连须质量评价研究[J].中草药, 2025, 56(22):8347-8356.
    杨洋,黄良永,朱美玲,等.一测多评法在中国药典2015年版中的应用[J].中南药学, 2017, 15(12):1738-1741.
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    2种不同金属材料的力学参数

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    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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