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Variation and fractionation of δ2H, δ18O, and δ17O stable isotopes from irrigation water to soil, grapes, and wine for the traceability of geographical origins.
Gao, Feifei; Zeng, Guihua; Hao, Xiaoyun; Wang, Hua; Li, Hua.
Afiliación
  • Gao F; Key Laboratory of Characteristics Agricultural Product Processing and Quality Control (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Key Laboratory for Food Nutrition and Safety Control of Xinjiang Production and Construction Corps, School of Food Science and
  • Zeng G; Key Laboratory of Characteristics Agricultural Product Processing and Quality Control (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Key Laboratory for Food Nutrition and Safety Control of Xinjiang Production and Construction Corps, School of Food Science and
  • Hao X; School of Chemical Engineering, Xi'an University, Xi'an, Shaanxi 710065, China.
  • Wang H; College of Enology, Shaanxi Engineering Research Center for Viti-viniculture, Northwest A&F University, Yangling, Shaanxi 712100, China.
  • Li H; College of Enology, Shaanxi Engineering Research Center for Viti-viniculture, Northwest A&F University, Yangling, Shaanxi 712100, China. Electronic address: lihua@nwafu.edu.cn.
Food Chem ; 462: 141012, 2025 Jan 01.
Article en En | MEDLINE | ID: mdl-39217747
ABSTRACT
To investigate the variation and fractionation of stable isotopes from irrigation water to soil, grapes, and wine, δ2H, δ18O, and δ17O in different samples from 10 regions in China were determined using a water isotope analyser. The values were significantly different among regions according to the chemometric analysis. All isotopes were significantly and positively correlated with irrigation water-soil and grape-wine. A significant water isotopic fractionation effect was observed from the irrigation water to the soil, grapes, and wine. Stable isotope distribution characteristics correlated with longitude, latitude, altitude, temperature, precipitation, station pressure and wind speed. The linear discriminant analysis (LDA), random forest (RF), support vector machine (SVM), and feed-forward neural network (FNN) models 58.33-100 %, 80-100 %, 53.33-100 %, and 73.33-100 % accurate for distinguishing the geographical origins of all samples from training and test data, respectively. These findings provide a theoretical basis for authenticating the geographic origin of Chinese wines using stable isotope analysis.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Isótopos de Oxígeno / Suelo / Vino / Vitis / Riego Agrícola País/Región como asunto: Asia Idioma: En Revista: Food Chem Año: 2025 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Isótopos de Oxígeno / Suelo / Vino / Vitis / Riego Agrícola País/Región como asunto: Asia Idioma: En Revista: Food Chem Año: 2025 Tipo del documento: Article Pais de publicación: Reino Unido