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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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Analytical Methods in Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2019/2796502 |
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| author | Lu Xu Qiong Shi Si-Min Yan Hai-Yan Fu Shunping Xie Daowang Lu |
| author_facet | Lu Xu Qiong Shi Si-Min Yan Hai-Yan Fu Shunping Xie Daowang Lu |
| author_sort | Lu Xu |
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| 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. |
| format | Article |
| id | doaj-art-21ec6e457375477f834507fff02c319c |
| institution | Kabale University |
| issn | 2090-8865 2090-8873 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Analytical Methods in Chemistry |
| spelling | doaj-art-21ec6e457375477f834507fff02c319c2025-02-03T00:59:11ZengWileyJournal of Analytical Methods in Chemistry2090-88652090-88732019-01-01201910.1155/2019/27965022796502Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical OriginsLu Xu0Qiong Shi1Si-Min Yan2Hai-Yan Fu3Shunping Xie4Daowang Lu5College of Material and Chemical Engineering, Tongren University, Tongren 554300, Guizhou, ChinaThe Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, College of Pharmacy, South-Central University for Nationalities, Wuhan 430074, ChinaShanghai Institute of Quality Inspection and Technical Research, Shanghai 201114, ChinaThe Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, College of Pharmacy, South-Central University for Nationalities, Wuhan 430074, ChinaTechnology Center, China Tobacco Guizhou Industrial Co., LTD., Guiyang 550009, Guizhou, ChinaCollege of Material and Chemical Engineering, Tongren University, Tongren 554300, Guizhou, ChinaThe 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.http://dx.doi.org/10.1155/2019/2796502 |
| spellingShingle | Lu Xu Qiong Shi Si-Min Yan Hai-Yan Fu Shunping Xie Daowang Lu Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins Journal of Analytical Methods in Chemistry |
| 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 |
| url | http://dx.doi.org/10.1155/2019/2796502 |
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