Origin identification of Ginkgo biloba leaves based on laser-induced breakdown spectroscopy (LIBS)
As a traditional Chinese medicine, Ginkgo biloba leaves have been used in treatments on several diseases for many centuries. The constituents of Ginkgo biloba leaves such as flavonol glycosides and terpene trilactones are active substances associated with the treatment effect. There is not subspecie...
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description | As a traditional Chinese medicine, Ginkgo biloba leaves have been used in treatments on several diseases for many centuries. The constituents of Ginkgo biloba leaves such as flavonol glycosides and terpene trilactones are active substances associated with the treatment effect. There is not subspecies of Ginkgo biloba so that the constituents of the leaves are mainly related to the geographical origins. In order to trace the geographical origins of Ginkgo biloba, the LIBS technology can be used to measure the spectra of the Ginkgo biloba leaves. However, the spectra of Ginkgo biloba leaves from different origins are very similar so that it is hard to identify them. In this work, three multivariate statistical methods, PCA, LDA and SVM were used to analyze the spectra. The Ginkgo biloba leaves were collected from 8 different locations in Xi'an City, China. The spectra were pre-treated by PCA firstly. Then, the LDA and SVM were adopted to process the data furthermore. When the first 30 principal components (PCs) determined by PCA were used as new input variables, a very good recognition effect was gotten by both LDA and SVM models. The accuracies of origin identification can be up to 97.50% and 96.25% for LDA and SVM, respectively. The result demonstrates that LIBS technology can be used to trace the geographical origins of Ginkgo biloba accurately with the help of multivariate statistical methods.
[Display omitted]
•The constituents of the Ginkgo biloba leaves are mainly related to their geographical origins. In order to trace the geographical origins of Ginkgo biloba, the LIBS technology was used to measure the fresh Ginkgo biloba leaves directly.•In the most studies on the traceability of plants, the samples were products of industrial processing, and the spatial distances of the production were relatively large. In this work, we try to trace fresh raw materials collected in a small area.•This work demonstrates that LIBS can be used to identify the different fresh plants in terms of their geographical origin combined with multivariate statistical methods. |
doi_str_mv | 10.1016/j.sab.2021.106192 |
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fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2548693591</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S058485472100149X</els_id><sourcerecordid>2548693591</sourcerecordid><originalsourceid>FETCH-LOGICAL-c325t-b00aecb8b051baafe672917f47ce2eea480329e05a3d044633caabd75598b1043</originalsourceid><addsrcrecordid>eNp9UMtOwzAQtBBIlMIHcLPEBQ4pfsR5iBNUUCpV6gE4W7azqZwGu9hpUf8eo3DmtA_N7M4MQteUzCihxX03i0rPGGE0zQWt2Qma0KrkGReFOEUTIqo8q0RenqOLGDtCCBNMTJBeB7uxDtsG3GBba9RgvcO-xQvrthuPte29VrgHdYCItYrQ4AToUxMy65q9SQsdQG0b_-1w3IEZgo_G7474drV8eru7RGet6iNc_dUp-nh5fp-_Zqv1Yjl_XGWGMzFkmhAFRleaCKqVaqEoWU3LNi8NMACVV4SzGohQvCF5XnBulNJNKURdaUpyPkU3491d8F97iIPs_D649FIykVdFzUVNE4qOKJNUxgCt3AX7qcJRUiJ_o5SdTFHK3yjlGGXiPIwcSPIPFoKMxoJLzm1IdmXj7T_sH9Rre-0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2548693591</pqid></control><display><type>article</type><title>Origin identification of Ginkgo biloba leaves based on laser-induced breakdown spectroscopy (LIBS)</title><source>Elsevier ScienceDirect Journals</source><creator>Zhang, Dacheng ; Ding, Jie ; Feng, Zhongqi ; Yang, Runqiang ; Yang, Yunxiao ; Yu, Suyu ; Xie, Baichuan ; Zhu, Jiangfeng</creator><creatorcontrib>Zhang, Dacheng ; Ding, Jie ; Feng, Zhongqi ; Yang, Runqiang ; Yang, Yunxiao ; Yu, Suyu ; Xie, Baichuan ; Zhu, Jiangfeng</creatorcontrib><description>As a traditional Chinese medicine, Ginkgo biloba leaves have been used in treatments on several diseases for many centuries. The constituents of Ginkgo biloba leaves such as flavonol glycosides and terpene trilactones are active substances associated with the treatment effect. There is not subspecies of Ginkgo biloba so that the constituents of the leaves are mainly related to the geographical origins. In order to trace the geographical origins of Ginkgo biloba, the LIBS technology can be used to measure the spectra of the Ginkgo biloba leaves. However, the spectra of Ginkgo biloba leaves from different origins are very similar so that it is hard to identify them. In this work, three multivariate statistical methods, PCA, LDA and SVM were used to analyze the spectra. The Ginkgo biloba leaves were collected from 8 different locations in Xi'an City, China. The spectra were pre-treated by PCA firstly. Then, the LDA and SVM were adopted to process the data furthermore. When the first 30 principal components (PCs) determined by PCA were used as new input variables, a very good recognition effect was gotten by both LDA and SVM models. The accuracies of origin identification can be up to 97.50% and 96.25% for LDA and SVM, respectively. The result demonstrates that LIBS technology can be used to trace the geographical origins of Ginkgo biloba accurately with the help of multivariate statistical methods.
[Display omitted]
•The constituents of the Ginkgo biloba leaves are mainly related to their geographical origins. In order to trace the geographical origins of Ginkgo biloba, the LIBS technology was used to measure the fresh Ginkgo biloba leaves directly.•In the most studies on the traceability of plants, the samples were products of industrial processing, and the spatial distances of the production were relatively large. In this work, we try to trace fresh raw materials collected in a small area.•This work demonstrates that LIBS can be used to identify the different fresh plants in terms of their geographical origin combined with multivariate statistical methods.</description><identifier>ISSN: 0584-8547</identifier><identifier>EISSN: 1873-3565</identifier><identifier>DOI: 10.1016/j.sab.2021.106192</identifier><language>eng</language><publisher>Oxford: Elsevier B.V</publisher><subject>Analytical methods ; Constituents ; Flavonols ; Geographical distribution ; Ginkgo biloba ; Ginkgo biloba leaves ; Glycosides ; Herbal medicine ; Identification ; Laser induced breakdown spectroscopy ; Laser-induced breakdown spectroscopy (LIBS) ; Lasers ; Leaves ; Linear discriminant analysis ; Model accuracy ; Multivariate analysis ; Origin identification ; Origins ; Principal components analysis ; Spectra ; Spectroscopy ; Spectrum analysis ; Statistical methods ; Statistics ; Support vector machine ; Technology ; Traditional Chinese medicine</subject><ispartof>Spectrochimica acta. Part B: Atomic spectroscopy, 2021-06, Vol.180, p.106192, Article 106192</ispartof><rights>2021</rights><rights>Copyright Elsevier BV Jun 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-b00aecb8b051baafe672917f47ce2eea480329e05a3d044633caabd75598b1043</citedby><cites>FETCH-LOGICAL-c325t-b00aecb8b051baafe672917f47ce2eea480329e05a3d044633caabd75598b1043</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.sab.2021.106192$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Zhang, Dacheng</creatorcontrib><creatorcontrib>Ding, Jie</creatorcontrib><creatorcontrib>Feng, Zhongqi</creatorcontrib><creatorcontrib>Yang, Runqiang</creatorcontrib><creatorcontrib>Yang, Yunxiao</creatorcontrib><creatorcontrib>Yu, Suyu</creatorcontrib><creatorcontrib>Xie, Baichuan</creatorcontrib><creatorcontrib>Zhu, Jiangfeng</creatorcontrib><title>Origin identification of Ginkgo biloba leaves based on laser-induced breakdown spectroscopy (LIBS)</title><title>Spectrochimica acta. Part B: Atomic spectroscopy</title><description>As a traditional Chinese medicine, Ginkgo biloba leaves have been used in treatments on several diseases for many centuries. The constituents of Ginkgo biloba leaves such as flavonol glycosides and terpene trilactones are active substances associated with the treatment effect. There is not subspecies of Ginkgo biloba so that the constituents of the leaves are mainly related to the geographical origins. In order to trace the geographical origins of Ginkgo biloba, the LIBS technology can be used to measure the spectra of the Ginkgo biloba leaves. However, the spectra of Ginkgo biloba leaves from different origins are very similar so that it is hard to identify them. In this work, three multivariate statistical methods, PCA, LDA and SVM were used to analyze the spectra. The Ginkgo biloba leaves were collected from 8 different locations in Xi'an City, China. The spectra were pre-treated by PCA firstly. Then, the LDA and SVM were adopted to process the data furthermore. When the first 30 principal components (PCs) determined by PCA were used as new input variables, a very good recognition effect was gotten by both LDA and SVM models. The accuracies of origin identification can be up to 97.50% and 96.25% for LDA and SVM, respectively. The result demonstrates that LIBS technology can be used to trace the geographical origins of Ginkgo biloba accurately with the help of multivariate statistical methods.
[Display omitted]
•The constituents of the Ginkgo biloba leaves are mainly related to their geographical origins. In order to trace the geographical origins of Ginkgo biloba, the LIBS technology was used to measure the fresh Ginkgo biloba leaves directly.•In the most studies on the traceability of plants, the samples were products of industrial processing, and the spatial distances of the production were relatively large. In this work, we try to trace fresh raw materials collected in a small area.•This work demonstrates that LIBS can be used to identify the different fresh plants in terms of their geographical origin combined with multivariate statistical methods.</description><subject>Analytical methods</subject><subject>Constituents</subject><subject>Flavonols</subject><subject>Geographical distribution</subject><subject>Ginkgo biloba</subject><subject>Ginkgo biloba leaves</subject><subject>Glycosides</subject><subject>Herbal medicine</subject><subject>Identification</subject><subject>Laser induced breakdown spectroscopy</subject><subject>Laser-induced breakdown spectroscopy (LIBS)</subject><subject>Lasers</subject><subject>Leaves</subject><subject>Linear discriminant analysis</subject><subject>Model accuracy</subject><subject>Multivariate analysis</subject><subject>Origin identification</subject><subject>Origins</subject><subject>Principal components analysis</subject><subject>Spectra</subject><subject>Spectroscopy</subject><subject>Spectrum analysis</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Support vector machine</subject><subject>Technology</subject><subject>Traditional Chinese medicine</subject><issn>0584-8547</issn><issn>1873-3565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9UMtOwzAQtBBIlMIHcLPEBQ4pfsR5iBNUUCpV6gE4W7azqZwGu9hpUf8eo3DmtA_N7M4MQteUzCihxX03i0rPGGE0zQWt2Qma0KrkGReFOEUTIqo8q0RenqOLGDtCCBNMTJBeB7uxDtsG3GBba9RgvcO-xQvrthuPte29VrgHdYCItYrQ4AToUxMy65q9SQsdQG0b_-1w3IEZgo_G7474drV8eru7RGet6iNc_dUp-nh5fp-_Zqv1Yjl_XGWGMzFkmhAFRleaCKqVaqEoWU3LNi8NMACVV4SzGohQvCF5XnBulNJNKURdaUpyPkU3491d8F97iIPs_D649FIykVdFzUVNE4qOKJNUxgCt3AX7qcJRUiJ_o5SdTFHK3yjlGGXiPIwcSPIPFoKMxoJLzm1IdmXj7T_sH9Rre-0</recordid><startdate>202106</startdate><enddate>202106</enddate><creator>Zhang, Dacheng</creator><creator>Ding, Jie</creator><creator>Feng, Zhongqi</creator><creator>Yang, Runqiang</creator><creator>Yang, Yunxiao</creator><creator>Yu, Suyu</creator><creator>Xie, Baichuan</creator><creator>Zhu, Jiangfeng</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SR</scope><scope>7U5</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>JG9</scope><scope>L.G</scope><scope>L7M</scope></search><sort><creationdate>202106</creationdate><title>Origin identification of Ginkgo biloba leaves based on laser-induced breakdown spectroscopy (LIBS)</title><author>Zhang, Dacheng ; Ding, Jie ; Feng, Zhongqi ; Yang, Runqiang ; Yang, Yunxiao ; Yu, Suyu ; Xie, Baichuan ; Zhu, Jiangfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-b00aecb8b051baafe672917f47ce2eea480329e05a3d044633caabd75598b1043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analytical methods</topic><topic>Constituents</topic><topic>Flavonols</topic><topic>Geographical distribution</topic><topic>Ginkgo biloba</topic><topic>Ginkgo biloba leaves</topic><topic>Glycosides</topic><topic>Herbal medicine</topic><topic>Identification</topic><topic>Laser induced breakdown spectroscopy</topic><topic>Laser-induced breakdown spectroscopy (LIBS)</topic><topic>Lasers</topic><topic>Leaves</topic><topic>Linear discriminant analysis</topic><topic>Model accuracy</topic><topic>Multivariate analysis</topic><topic>Origin identification</topic><topic>Origins</topic><topic>Principal components analysis</topic><topic>Spectra</topic><topic>Spectroscopy</topic><topic>Spectrum analysis</topic><topic>Statistical methods</topic><topic>Statistics</topic><topic>Support vector machine</topic><topic>Technology</topic><topic>Traditional Chinese medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Dacheng</creatorcontrib><creatorcontrib>Ding, Jie</creatorcontrib><creatorcontrib>Feng, Zhongqi</creatorcontrib><creatorcontrib>Yang, Runqiang</creatorcontrib><creatorcontrib>Yang, Yunxiao</creatorcontrib><creatorcontrib>Yu, Suyu</creatorcontrib><creatorcontrib>Xie, Baichuan</creatorcontrib><creatorcontrib>Zhu, Jiangfeng</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Materials Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Spectrochimica acta. Part B: Atomic spectroscopy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Dacheng</au><au>Ding, Jie</au><au>Feng, Zhongqi</au><au>Yang, Runqiang</au><au>Yang, Yunxiao</au><au>Yu, Suyu</au><au>Xie, Baichuan</au><au>Zhu, Jiangfeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Origin identification of Ginkgo biloba leaves based on laser-induced breakdown spectroscopy (LIBS)</atitle><jtitle>Spectrochimica acta. Part B: Atomic spectroscopy</jtitle><date>2021-06</date><risdate>2021</risdate><volume>180</volume><spage>106192</spage><pages>106192-</pages><artnum>106192</artnum><issn>0584-8547</issn><eissn>1873-3565</eissn><abstract>As a traditional Chinese medicine, Ginkgo biloba leaves have been used in treatments on several diseases for many centuries. The constituents of Ginkgo biloba leaves such as flavonol glycosides and terpene trilactones are active substances associated with the treatment effect. There is not subspecies of Ginkgo biloba so that the constituents of the leaves are mainly related to the geographical origins. In order to trace the geographical origins of Ginkgo biloba, the LIBS technology can be used to measure the spectra of the Ginkgo biloba leaves. However, the spectra of Ginkgo biloba leaves from different origins are very similar so that it is hard to identify them. In this work, three multivariate statistical methods, PCA, LDA and SVM were used to analyze the spectra. The Ginkgo biloba leaves were collected from 8 different locations in Xi'an City, China. The spectra were pre-treated by PCA firstly. Then, the LDA and SVM were adopted to process the data furthermore. When the first 30 principal components (PCs) determined by PCA were used as new input variables, a very good recognition effect was gotten by both LDA and SVM models. The accuracies of origin identification can be up to 97.50% and 96.25% for LDA and SVM, respectively. The result demonstrates that LIBS technology can be used to trace the geographical origins of Ginkgo biloba accurately with the help of multivariate statistical methods.
[Display omitted]
•The constituents of the Ginkgo biloba leaves are mainly related to their geographical origins. In order to trace the geographical origins of Ginkgo biloba, the LIBS technology was used to measure the fresh Ginkgo biloba leaves directly.•In the most studies on the traceability of plants, the samples were products of industrial processing, and the spatial distances of the production were relatively large. In this work, we try to trace fresh raw materials collected in a small area.•This work demonstrates that LIBS can be used to identify the different fresh plants in terms of their geographical origin combined with multivariate statistical methods.</abstract><cop>Oxford</cop><pub>Elsevier B.V</pub><doi>10.1016/j.sab.2021.106192</doi></addata></record> |
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subjects | Analytical methods Constituents Flavonols Geographical distribution Ginkgo biloba Ginkgo biloba leaves Glycosides Herbal medicine Identification Laser induced breakdown spectroscopy Laser-induced breakdown spectroscopy (LIBS) Lasers Leaves Linear discriminant analysis Model accuracy Multivariate analysis Origin identification Origins Principal components analysis Spectra Spectroscopy Spectrum analysis Statistical methods Statistics Support vector machine Technology Traditional Chinese medicine |
title | Origin identification of Ginkgo biloba leaves based on laser-induced breakdown spectroscopy (LIBS) |
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