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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Veröffentlicht in:Spectrochimica acta. Part B: Atomic spectroscopy 2021-06, Vol.180, p.106192, Article 106192
Hauptverfasser: Zhang, Dacheng, Ding, Jie, Feng, Zhongqi, Yang, Runqiang, Yang, Yunxiao, Yu, Suyu, Xie, Baichuan, Zhu, Jiangfeng
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container_title Spectrochimica acta. Part B: Atomic spectroscopy
container_volume 180
creator Zhang, Dacheng
Ding, Jie
Feng, Zhongqi
Yang, Runqiang
Yang, Yunxiao
Yu, Suyu
Xie, Baichuan
Zhu, Jiangfeng
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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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. 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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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