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Qualitative analysis and differentiation of ginkgo cultivars based on UHPLC-QTOF-MS/MS with the characteristic ion and neutral loss strategy combined with chemometric methods
The identification of chemical constituents can assist the discovery of active ingredients and can differentiate herbs with multiple cultivars. In this study, a diagnostic ion and neutral loss filtering strategy was developed for the qualitative analysis of ginkgo leaf. The strategy is based on an u...
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Published in: | Journal of pharmaceutical and biomedical analysis 2022-03, Vol.211, p.114595-114595, Article 114595 |
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container_title | Journal of pharmaceutical and biomedical analysis |
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creator | Zhang, Jing Wang, Dunfang Yang, Wei Yu, Yuetong Hao, Chenyang Zhao, Anyi Cheng, Jintang Liu, Yan Tan, Ting Chen, Sha Liu, An |
description | The identification of chemical constituents can assist the discovery of active ingredients and can differentiate herbs with multiple cultivars. In this study, a diagnostic ion and neutral loss filtering strategy was developed for the qualitative analysis of ginkgo leaf. The strategy is based on an ultrahigh-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry. A large number of (110) of GL compounds were identified, including 8 potentially novel compounds and 42 previously unreported GL constituents. Moreover, 64 available compounds in 48 GL cultivars were analyzed via a combined multicomponent quantitative analysis and statistical analysis. The distribution of the 64 compounds among different cultivars was clarified in a principal component analysis and hot map visualization. Via a variable-importance-for-prediction score analysis, ten main differential compounds were found among the different cultivars. Collectively, these results indicated the usefulness of our approach in chemical profiling and discrimination of herbs with multiple botanical origins. This strategy can also help chemists rapidly identify novel compounds from a complex matrix.
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•GL was analyzed using the UHPLC–QTOF-MS/MS and a diagnostic ion/neutral loss strategy.•Quantitative data of 64 available compounds from different cultivars were analyzed.•The quantitative data were statistically analyzed by chemometric methods. |
doi_str_mv | 10.1016/j.jpba.2022.114595 |
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•GL was analyzed using the UHPLC–QTOF-MS/MS and a diagnostic ion/neutral loss strategy.•Quantitative data of 64 available compounds from different cultivars were analyzed.•The quantitative data were statistically analyzed by chemometric methods.</description><identifier>ISSN: 0731-7085</identifier><identifier>EISSN: 1873-264X</identifier><identifier>DOI: 10.1016/j.jpba.2022.114595</identifier><identifier>PMID: 35074563</identifier><language>eng</language><publisher>England: Elsevier B.V</publisher><subject>Chemometrics ; Chromatography, High Pressure Liquid - methods ; Diagnostic product ions ; Drugs, Chinese Herbal - chemistry ; Ginkgo biloba ; Ginkgo leaf ; Neutral loss filtering ; Quadrupole time-of-flight tandem mass spectrometry ; Tandem Mass Spectrometry - methods ; Ultra- high-performance liquid chromatography</subject><ispartof>Journal of pharmaceutical and biomedical analysis, 2022-03, Vol.211, p.114595-114595, Article 114595</ispartof><rights>2022 Elsevier B.V.</rights><rights>Copyright © 2022 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-16cf9b4770d16e87bd26b02c34fe290eba41da57838fb59a10493d028fe874823</citedby><cites>FETCH-LOGICAL-c356t-16cf9b4770d16e87bd26b02c34fe290eba41da57838fb59a10493d028fe874823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35074563$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Jing</creatorcontrib><creatorcontrib>Wang, Dunfang</creatorcontrib><creatorcontrib>Yang, Wei</creatorcontrib><creatorcontrib>Yu, Yuetong</creatorcontrib><creatorcontrib>Hao, Chenyang</creatorcontrib><creatorcontrib>Zhao, Anyi</creatorcontrib><creatorcontrib>Cheng, Jintang</creatorcontrib><creatorcontrib>Liu, Yan</creatorcontrib><creatorcontrib>Tan, Ting</creatorcontrib><creatorcontrib>Chen, Sha</creatorcontrib><creatorcontrib>Liu, An</creatorcontrib><title>Qualitative analysis and differentiation of ginkgo cultivars based on UHPLC-QTOF-MS/MS with the characteristic ion and neutral loss strategy combined with chemometric methods</title><title>Journal of pharmaceutical and biomedical analysis</title><addtitle>J Pharm Biomed Anal</addtitle><description>The identification of chemical constituents can assist the discovery of active ingredients and can differentiate herbs with multiple cultivars. In this study, a diagnostic ion and neutral loss filtering strategy was developed for the qualitative analysis of ginkgo leaf. The strategy is based on an ultrahigh-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry. A large number of (110) of GL compounds were identified, including 8 potentially novel compounds and 42 previously unreported GL constituents. Moreover, 64 available compounds in 48 GL cultivars were analyzed via a combined multicomponent quantitative analysis and statistical analysis. The distribution of the 64 compounds among different cultivars was clarified in a principal component analysis and hot map visualization. Via a variable-importance-for-prediction score analysis, ten main differential compounds were found among the different cultivars. Collectively, these results indicated the usefulness of our approach in chemical profiling and discrimination of herbs with multiple botanical origins. This strategy can also help chemists rapidly identify novel compounds from a complex matrix.
[Display omitted]
•GL was analyzed using the UHPLC–QTOF-MS/MS and a diagnostic ion/neutral loss strategy.•Quantitative data of 64 available compounds from different cultivars were analyzed.•The quantitative data were statistically analyzed by chemometric methods.</description><subject>Chemometrics</subject><subject>Chromatography, High Pressure Liquid - methods</subject><subject>Diagnostic product ions</subject><subject>Drugs, Chinese Herbal - chemistry</subject><subject>Ginkgo biloba</subject><subject>Ginkgo leaf</subject><subject>Neutral loss filtering</subject><subject>Quadrupole time-of-flight tandem mass spectrometry</subject><subject>Tandem Mass Spectrometry - methods</subject><subject>Ultra- high-performance liquid chromatography</subject><issn>0731-7085</issn><issn>1873-264X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kctu1DAUhi0EokPhBVggL9lk6kuci8QGjShFmqpUbSV2lmMfTzwk8WA7RfNSPCMOU1iyOkc63_9JRz9CbylZU0Kri_16f-jUmhHG1pSWohXP0Io2NS9YVX57jlak5rSoSSPO0KsY94QQQdvyJTrjgtSlqPgK_bqd1eCSSu4RsJrUcIwu5sVg46yFAFNy-egn7C3euen7zmM9DxlXIeJORTA4Hx-uvm43xe39zWVxfXdxfYd_utTj1APWvQpKJwguJqfxYlrsE8wpqAEPPkYc85pgd8Taj52bsvJPXPcw-hFSyLk8em_ia_TCqiHCm6d5jh4uP91vrortzecvm4_bQnNRpYJW2rZdWdfE0AqaujOs6gjTvLTAWgKdKqlRom54YzvRKkrKlhvCGpvhsmH8HL0_eQ_B_5ghJjm6qGEY1AR-jpJVjFWi5qLNKDuhOuRfAlh5CG5U4SgpkUtPci-XnuTSkzz1lEPvnvxzN4L5F_lbTAY-nADIXz46CDJqB5MG4wLoJI13__P_Bqq2pvs</recordid><startdate>20220320</startdate><enddate>20220320</enddate><creator>Zhang, Jing</creator><creator>Wang, Dunfang</creator><creator>Yang, Wei</creator><creator>Yu, Yuetong</creator><creator>Hao, Chenyang</creator><creator>Zhao, Anyi</creator><creator>Cheng, Jintang</creator><creator>Liu, Yan</creator><creator>Tan, Ting</creator><creator>Chen, Sha</creator><creator>Liu, An</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20220320</creationdate><title>Qualitative analysis and differentiation of ginkgo cultivars based on UHPLC-QTOF-MS/MS with the characteristic ion and neutral loss strategy combined with chemometric methods</title><author>Zhang, Jing ; Wang, Dunfang ; Yang, Wei ; Yu, Yuetong ; Hao, Chenyang ; Zhao, Anyi ; Cheng, Jintang ; Liu, Yan ; Tan, Ting ; Chen, Sha ; Liu, An</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-16cf9b4770d16e87bd26b02c34fe290eba41da57838fb59a10493d028fe874823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Chemometrics</topic><topic>Chromatography, High Pressure Liquid - methods</topic><topic>Diagnostic product ions</topic><topic>Drugs, Chinese Herbal - chemistry</topic><topic>Ginkgo biloba</topic><topic>Ginkgo leaf</topic><topic>Neutral loss filtering</topic><topic>Quadrupole time-of-flight tandem mass spectrometry</topic><topic>Tandem Mass Spectrometry - methods</topic><topic>Ultra- high-performance liquid chromatography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Jing</creatorcontrib><creatorcontrib>Wang, Dunfang</creatorcontrib><creatorcontrib>Yang, Wei</creatorcontrib><creatorcontrib>Yu, Yuetong</creatorcontrib><creatorcontrib>Hao, Chenyang</creatorcontrib><creatorcontrib>Zhao, Anyi</creatorcontrib><creatorcontrib>Cheng, Jintang</creatorcontrib><creatorcontrib>Liu, Yan</creatorcontrib><creatorcontrib>Tan, Ting</creatorcontrib><creatorcontrib>Chen, Sha</creatorcontrib><creatorcontrib>Liu, An</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of pharmaceutical and biomedical analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Jing</au><au>Wang, Dunfang</au><au>Yang, Wei</au><au>Yu, Yuetong</au><au>Hao, Chenyang</au><au>Zhao, Anyi</au><au>Cheng, Jintang</au><au>Liu, Yan</au><au>Tan, Ting</au><au>Chen, Sha</au><au>Liu, An</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Qualitative analysis and differentiation of ginkgo cultivars based on UHPLC-QTOF-MS/MS with the characteristic ion and neutral loss strategy combined with chemometric methods</atitle><jtitle>Journal of pharmaceutical and biomedical analysis</jtitle><addtitle>J Pharm Biomed Anal</addtitle><date>2022-03-20</date><risdate>2022</risdate><volume>211</volume><spage>114595</spage><epage>114595</epage><pages>114595-114595</pages><artnum>114595</artnum><issn>0731-7085</issn><eissn>1873-264X</eissn><abstract>The identification of chemical constituents can assist the discovery of active ingredients and can differentiate herbs with multiple cultivars. In this study, a diagnostic ion and neutral loss filtering strategy was developed for the qualitative analysis of ginkgo leaf. The strategy is based on an ultrahigh-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry. A large number of (110) of GL compounds were identified, including 8 potentially novel compounds and 42 previously unreported GL constituents. Moreover, 64 available compounds in 48 GL cultivars were analyzed via a combined multicomponent quantitative analysis and statistical analysis. The distribution of the 64 compounds among different cultivars was clarified in a principal component analysis and hot map visualization. Via a variable-importance-for-prediction score analysis, ten main differential compounds were found among the different cultivars. Collectively, these results indicated the usefulness of our approach in chemical profiling and discrimination of herbs with multiple botanical origins. This strategy can also help chemists rapidly identify novel compounds from a complex matrix.
[Display omitted]
•GL was analyzed using the UHPLC–QTOF-MS/MS and a diagnostic ion/neutral loss strategy.•Quantitative data of 64 available compounds from different cultivars were analyzed.•The quantitative data were statistically analyzed by chemometric methods.</abstract><cop>England</cop><pub>Elsevier B.V</pub><pmid>35074563</pmid><doi>10.1016/j.jpba.2022.114595</doi><tpages>1</tpages></addata></record> |
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subjects | Chemometrics Chromatography, High Pressure Liquid - methods Diagnostic product ions Drugs, Chinese Herbal - chemistry Ginkgo biloba Ginkgo leaf Neutral loss filtering Quadrupole time-of-flight tandem mass spectrometry Tandem Mass Spectrometry - methods Ultra- high-performance liquid chromatography |
title | Qualitative analysis and differentiation of ginkgo cultivars based on UHPLC-QTOF-MS/MS with the characteristic ion and neutral loss strategy combined with chemometric methods |
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