Stable Isotope Ratio and Elemental Profile Combined with Support Vector Machine for Provenance Discrimination of Oolong Tea (Wuyi-Rock Tea)
Joint Authors
Fu, Xian-Shu
Yu, Xiao-Ping
Lou, Yun-xiao
Zhang, Ya-fen
Cui, Hai-Feng
Ye, Zi-Hong
Source
Journal of Analytical Methods in Chemistry
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper focused on an effective method to discriminate the geographical origin of Wuyi-Rock tea by the stable isotope ratio (SIR) and metallic element profiling (MEP) combined with support vector machine (SVM) analysis.
Wuyi-Rock tea (n=99) collected from nine producing areas and non-Wuyi-Rock tea (n=33) from eleven nonproducing areas were analysed for SIR and MEP by established methods.
The SVM model based on coupled data produced the best prediction accuracy (0.9773).
This prediction shows that instrumental methods combined with a classification model can provide an effective and stable tool for provenance discrimination.
Moreover, every feature variable in stable isotope and metallic element data was ranked by its contribution to the model.
The results show that δ2H, δ18O, Cs, Cu, Ca, and Rb contents are significant indications for provenance discrimination and not all of the metallic elements improve the prediction accuracy of the SVM model.
American Psychological Association (APA)
Lou, Yun-xiao& Fu, Xian-Shu& Yu, Xiao-Ping& Ye, Zi-Hong& Cui, Hai-Feng& Zhang, Ya-fen. 2017. Stable Isotope Ratio and Elemental Profile Combined with Support Vector Machine for Provenance Discrimination of Oolong Tea (Wuyi-Rock Tea). Journal of Analytical Methods in Chemistry،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1170244
Modern Language Association (MLA)
Lou, Yun-xiao…[et al.]. Stable Isotope Ratio and Elemental Profile Combined with Support Vector Machine for Provenance Discrimination of Oolong Tea (Wuyi-Rock Tea). Journal of Analytical Methods in Chemistry No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1170244
American Medical Association (AMA)
Lou, Yun-xiao& Fu, Xian-Shu& Yu, Xiao-Ping& Ye, Zi-Hong& Cui, Hai-Feng& Zhang, Ya-fen. Stable Isotope Ratio and Elemental Profile Combined with Support Vector Machine for Provenance Discrimination of Oolong Tea (Wuyi-Rock Tea). Journal of Analytical Methods in Chemistry. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1170244
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170244