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Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins

The feasibility of combining elemental fingerprints and chemical pattern recognition methods for authentication of the geographical origins of a Chinese herb, Gastrodia elata BI. (GE), was studied in this paper. A total of 210 GE samples were collected from 7 different producing areas. The levels of...

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Detalles Bibliográficos
Autores principales: Xu, Lu, Shi, Qiong, Yan, Si-Min, Fu, Hai-Yan, Xie, Shunping, Lu, Daowang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657606/
https://www.ncbi.nlm.nih.gov/pubmed/31380141
http://dx.doi.org/10.1155/2019/2796502
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author Xu, Lu
Shi, Qiong
Yan, Si-Min
Fu, Hai-Yan
Xie, Shunping
Lu, Daowang
author_facet Xu, Lu
Shi, Qiong
Yan, Si-Min
Fu, Hai-Yan
Xie, Shunping
Lu, Daowang
author_sort Xu, Lu
collection PubMed
description The feasibility of combining elemental fingerprints and chemical pattern recognition methods for authentication of the geographical origins of a Chinese herb, Gastrodia elata BI. (GE), was studied in this paper. A total of 210 GE samples were collected from 7 different producing areas. The levels of 15 mineral elements in GE, including Zn, Cd, Co, Cr, Cu, Ca, Mg, Mn, Mo, Ni, Pb, Sr, Fe, Na, and K, were determined using inductively coupled plasma mass spectrometry (ICP-MS). Using the autoscaled data of elemental fingerprints and partial least-squares discriminant analysis (PLSDA), two chemometrics strategies for multiclass classifications, One-Versus-Rest (OVR) and One-Versus-One (OVO), were studied and compared in discrimination of GE geographical origins. As a result, OVR-PLSDA and OVO-PLSDA could achieve the classification accuracy of 0.672 and 0.925, respectively. The results indicate that mineral elemental fingerprints coupled with chemometrics can provide a useful alternative method for simultaneous discrimination of multiple GE geographical origins.
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spelling pubmed-66576062019-08-04 Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins Xu, Lu Shi, Qiong Yan, Si-Min Fu, Hai-Yan Xie, Shunping Lu, Daowang J Anal Methods Chem Research Article The feasibility of combining elemental fingerprints and chemical pattern recognition methods for authentication of the geographical origins of a Chinese herb, Gastrodia elata BI. (GE), was studied in this paper. A total of 210 GE samples were collected from 7 different producing areas. The levels of 15 mineral elements in GE, including Zn, Cd, Co, Cr, Cu, Ca, Mg, Mn, Mo, Ni, Pb, Sr, Fe, Na, and K, were determined using inductively coupled plasma mass spectrometry (ICP-MS). Using the autoscaled data of elemental fingerprints and partial least-squares discriminant analysis (PLSDA), two chemometrics strategies for multiclass classifications, One-Versus-Rest (OVR) and One-Versus-One (OVO), were studied and compared in discrimination of GE geographical origins. As a result, OVR-PLSDA and OVO-PLSDA could achieve the classification accuracy of 0.672 and 0.925, respectively. The results indicate that mineral elemental fingerprints coupled with chemometrics can provide a useful alternative method for simultaneous discrimination of multiple GE geographical origins. Hindawi 2019-07-11 /pmc/articles/PMC6657606/ /pubmed/31380141 http://dx.doi.org/10.1155/2019/2796502 Text en Copyright © 2019 Lu Xu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Lu
Shi, Qiong
Yan, Si-Min
Fu, Hai-Yan
Xie, Shunping
Lu, Daowang
Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins
title Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins
title_full Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins
title_fullStr Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins
title_full_unstemmed Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins
title_short Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins
title_sort chemometric analysis of elemental fingerprints for ge authentication of multiple geographical origins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657606/
https://www.ncbi.nlm.nih.gov/pubmed/31380141
http://dx.doi.org/10.1155/2019/2796502
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