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Elemental profile and oxygen isotope ratio (δ(18)O) for verifying the geographical origin of Chinese wines

The elemental profile and oxygen isotope ratio (δ(18)O) of 188 wine samples collected from the Changji, Mile, and Changli regions in China were analyzed by inductively coupled plasma mass spectrometry (ICP-MS), inductively coupled plasma optical emission spectroscopy (ICP-OES) and isotope ratio mass...

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Autores principales: Fan, Shuangxi, Zhong, Qiding, Gao, Hongbo, Wang, Daobing, Li, Guohui, Huang, Zhanbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taiwan Food and Drug Administration 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303025/
https://www.ncbi.nlm.nih.gov/pubmed/29976396
http://dx.doi.org/10.1016/j.jfda.2017.12.009
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author Fan, Shuangxi
Zhong, Qiding
Gao, Hongbo
Wang, Daobing
Li, Guohui
Huang, Zhanbin
author_facet Fan, Shuangxi
Zhong, Qiding
Gao, Hongbo
Wang, Daobing
Li, Guohui
Huang, Zhanbin
author_sort Fan, Shuangxi
collection PubMed
description The elemental profile and oxygen isotope ratio (δ(18)O) of 188 wine samples collected from the Changji, Mile, and Changli regions in China were analyzed by inductively coupled plasma mass spectrometry (ICP-MS), inductively coupled plasma optical emission spectroscopy (ICP-OES) and isotope ratio mass spectrometry (IRMS), respectively. By combining the data of δ(18)O and the concentration data of 52 elements, the analysis of variance (ANOVA) technique was firstly applied to obtain the important descriptors for the discrimination of the three geographical origins. Ca, Al, Mg, B, Fe, K, Rb, Mn, Na, P, Co, Ga, As, Sr, and δ(18)O were identified as the key explanatory factors. In the second step, the key elements were employed as input variables for the subsequent partial least squares discrimination analysis (PLS-DA) and support vector machine (SVM) analyses. Then, cross validation and random data splitting (training set: test set = 70:30, %) were performed to avoid the over-fitting problem. The average correct classification rates of the PLS-DA and SVM models for the training set were both 98%, while for the test set, these values were 95%, 97%, respectively. Thus, it was suggested that the combination of oxygen isotope ratio (δ(18)O) and elemental profile with multi-step multivariate analysis is a promising approach for the verification of the considered three geographical origins of Chinese wines.
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spelling pubmed-93030252022-08-09 Elemental profile and oxygen isotope ratio (δ(18)O) for verifying the geographical origin of Chinese wines Fan, Shuangxi Zhong, Qiding Gao, Hongbo Wang, Daobing Li, Guohui Huang, Zhanbin J Food Drug Anal Original Article The elemental profile and oxygen isotope ratio (δ(18)O) of 188 wine samples collected from the Changji, Mile, and Changli regions in China were analyzed by inductively coupled plasma mass spectrometry (ICP-MS), inductively coupled plasma optical emission spectroscopy (ICP-OES) and isotope ratio mass spectrometry (IRMS), respectively. By combining the data of δ(18)O and the concentration data of 52 elements, the analysis of variance (ANOVA) technique was firstly applied to obtain the important descriptors for the discrimination of the three geographical origins. Ca, Al, Mg, B, Fe, K, Rb, Mn, Na, P, Co, Ga, As, Sr, and δ(18)O were identified as the key explanatory factors. In the second step, the key elements were employed as input variables for the subsequent partial least squares discrimination analysis (PLS-DA) and support vector machine (SVM) analyses. Then, cross validation and random data splitting (training set: test set = 70:30, %) were performed to avoid the over-fitting problem. The average correct classification rates of the PLS-DA and SVM models for the training set were both 98%, while for the test set, these values were 95%, 97%, respectively. Thus, it was suggested that the combination of oxygen isotope ratio (δ(18)O) and elemental profile with multi-step multivariate analysis is a promising approach for the verification of the considered three geographical origins of Chinese wines. Taiwan Food and Drug Administration 2018-01-18 /pmc/articles/PMC9303025/ /pubmed/29976396 http://dx.doi.org/10.1016/j.jfda.2017.12.009 Text en © 2018 Taiwan Food and Drug Administration https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Original Article
Fan, Shuangxi
Zhong, Qiding
Gao, Hongbo
Wang, Daobing
Li, Guohui
Huang, Zhanbin
Elemental profile and oxygen isotope ratio (δ(18)O) for verifying the geographical origin of Chinese wines
title Elemental profile and oxygen isotope ratio (δ(18)O) for verifying the geographical origin of Chinese wines
title_full Elemental profile and oxygen isotope ratio (δ(18)O) for verifying the geographical origin of Chinese wines
title_fullStr Elemental profile and oxygen isotope ratio (δ(18)O) for verifying the geographical origin of Chinese wines
title_full_unstemmed Elemental profile and oxygen isotope ratio (δ(18)O) for verifying the geographical origin of Chinese wines
title_short Elemental profile and oxygen isotope ratio (δ(18)O) for verifying the geographical origin of Chinese wines
title_sort elemental profile and oxygen isotope ratio (δ(18)o) for verifying the geographical origin of chinese wines
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303025/
https://www.ncbi.nlm.nih.gov/pubmed/29976396
http://dx.doi.org/10.1016/j.jfda.2017.12.009
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