Geographical Origin Classification of Chinese Wines Based on Carbon and Oxygen Stable Isotopes and Elemental Profiles
Wines from different regions have different qualities due to the impact of geographical location and climate. The sale of inferior wines seriously violates the fair-trade rights of consumers. This article provides an elemental analysis classification method for verifying the geographical origin of w...
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| Veröffentlicht in: | Journal of food protection 2020-08, Vol.83 (8), p.1323-1334 |
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| creator | Su, Ying-Yue Gao, Jie Zhao, Yong-Fang Wen, Hao-Song Zhang, Jin-Jie Zhang, Ang Yuan, Chun-Long |
| description | Wines from different regions have different qualities due to the impact of geographical location and climate. The sale of inferior wines seriously violates the fair-trade rights of consumers. This article provides an elemental analysis classification method for verifying the geographical origin of wines in the People's Republic of China. Inductively coupled plasma mass spectrometry, liquid chromatography isotope ratio mass spectrometry, and an isotope ratio mass spectrometer were used to analyze 142 wine samples collected from Helan Mountain, Xinjiang, Yunchuanzang, the Yanhuai Valley, and the Hexi Corridor regions. The data included elemental profiles, carbon isotope ratios (δ13C), and oxygen isotope ratios (δ18O). The results of multivariate analysis revealed that the geographical origin of wine is closely related to variations in elemental profiles and isotope ratios. Introducing δ18O and the elements Li, Mn, Ag, In, Th, Ta, and Re into the discriminant model yielded correct classification rates of the linear discriminant model of 90.8% for the training set and 87.3% for the test set. |
| doi_str_mv | 10.4315/JFP-19-499 |
| format | Article |
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The sale of inferior wines seriously violates the fair-trade rights of consumers. This article provides an elemental analysis classification method for verifying the geographical origin of wines in the People's Republic of China. Inductively coupled plasma mass spectrometry, liquid chromatography isotope ratio mass spectrometry, and an isotope ratio mass spectrometer were used to analyze 142 wine samples collected from Helan Mountain, Xinjiang, Yunchuanzang, the Yanhuai Valley, and the Hexi Corridor regions. The data included elemental profiles, carbon isotope ratios (δ13C), and oxygen isotope ratios (δ18O). The results of multivariate analysis revealed that the geographical origin of wine is closely related to variations in elemental profiles and isotope ratios. Introducing δ18O and the elements Li, Mn, Ag, In, Th, Ta, and Re into the discriminant model yielded correct classification rates of the linear discriminant model of 90.8% for the training set and 87.3% for the test set.</description><identifier>ISSN: 0362-028X</identifier><identifier>EISSN: 1944-9097</identifier><identifier>DOI: 10.4315/JFP-19-499</identifier><identifier>PMID: 32221529</identifier><language>eng</language><publisher>United States: Elsevier Limited</publisher><subject>Carbon ; Carbon isotopes ; Chemical elements ; China ; Chromatography ; Classification ; Consumption ; Discriminant analysis ; Ethanol ; Fermentation ; Food safety ; Geographical distribution ; Geographical locations ; Humans ; Inductively coupled plasma mass spectrometry ; Isotope ratios ; Isotopes ; Liquid chromatography ; Mass spectrometry ; Mass spectroscopy ; Methods ; Minerals ; Mountains ; Multivariate analysis ; Oxygen ; Oxygen isotopes ; Oxygen Isotopes - analysis ; Principal components analysis ; Scientific imaging ; Spectroscopy ; Stable isotopes ; Trace Elements - analysis ; Valleys ; Wine - analysis ; Wineries & vineyards ; Wines</subject><ispartof>Journal of food protection, 2020-08, Vol.83 (8), p.1323-1334</ispartof><rights>Copyright ©, International Association for Food Protection.</rights><rights>Copyright Allen Press Inc. 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The sale of inferior wines seriously violates the fair-trade rights of consumers. This article provides an elemental analysis classification method for verifying the geographical origin of wines in the People's Republic of China. Inductively coupled plasma mass spectrometry, liquid chromatography isotope ratio mass spectrometry, and an isotope ratio mass spectrometer were used to analyze 142 wine samples collected from Helan Mountain, Xinjiang, Yunchuanzang, the Yanhuai Valley, and the Hexi Corridor regions. The data included elemental profiles, carbon isotope ratios (δ13C), and oxygen isotope ratios (δ18O). The results of multivariate analysis revealed that the geographical origin of wine is closely related to variations in elemental profiles and isotope ratios. Introducing δ18O and the elements Li, Mn, Ag, In, Th, Ta, and Re into the discriminant model yielded correct classification rates of the linear discriminant model of 90.8% for the training set and 87.3% for the test set.</description><subject>Carbon</subject><subject>Carbon isotopes</subject><subject>Chemical elements</subject><subject>China</subject><subject>Chromatography</subject><subject>Classification</subject><subject>Consumption</subject><subject>Discriminant analysis</subject><subject>Ethanol</subject><subject>Fermentation</subject><subject>Food safety</subject><subject>Geographical distribution</subject><subject>Geographical locations</subject><subject>Humans</subject><subject>Inductively coupled plasma mass spectrometry</subject><subject>Isotope ratios</subject><subject>Isotopes</subject><subject>Liquid chromatography</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Methods</subject><subject>Minerals</subject><subject>Mountains</subject><subject>Multivariate analysis</subject><subject>Oxygen</subject><subject>Oxygen isotopes</subject><subject>Oxygen Isotopes - 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Academic</collection><jtitle>Journal of food protection</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Su, Ying-Yue</au><au>Gao, Jie</au><au>Zhao, Yong-Fang</au><au>Wen, Hao-Song</au><au>Zhang, Jin-Jie</au><au>Zhang, Ang</au><au>Yuan, Chun-Long</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geographical Origin Classification of Chinese Wines Based on Carbon and Oxygen Stable Isotopes and Elemental Profiles</atitle><jtitle>Journal of food protection</jtitle><addtitle>J Food Prot</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>83</volume><issue>8</issue><spage>1323</spage><epage>1334</epage><pages>1323-1334</pages><issn>0362-028X</issn><eissn>1944-9097</eissn><abstract>Wines from different regions have different qualities due to the impact of geographical location and climate. The sale of inferior wines seriously violates the fair-trade rights of consumers. This article provides an elemental analysis classification method for verifying the geographical origin of wines in the People's Republic of China. Inductively coupled plasma mass spectrometry, liquid chromatography isotope ratio mass spectrometry, and an isotope ratio mass spectrometer were used to analyze 142 wine samples collected from Helan Mountain, Xinjiang, Yunchuanzang, the Yanhuai Valley, and the Hexi Corridor regions. The data included elemental profiles, carbon isotope ratios (δ13C), and oxygen isotope ratios (δ18O). The results of multivariate analysis revealed that the geographical origin of wine is closely related to variations in elemental profiles and isotope ratios. 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| subjects | Carbon Carbon isotopes Chemical elements China Chromatography Classification Consumption Discriminant analysis Ethanol Fermentation Food safety Geographical distribution Geographical locations Humans Inductively coupled plasma mass spectrometry Isotope ratios Isotopes Liquid chromatography Mass spectrometry Mass spectroscopy Methods Minerals Mountains Multivariate analysis Oxygen Oxygen isotopes Oxygen Isotopes - analysis Principal components analysis Scientific imaging Spectroscopy Stable isotopes Trace Elements - analysis Valleys Wine - analysis Wineries & vineyards Wines |
| title | Geographical Origin Classification of Chinese Wines Based on Carbon and Oxygen Stable Isotopes and Elemental Profiles |
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