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Origin traceability of bottled mineral water imported into China using chemical and stable isotope fingerprints

文献类型： 外文期刊

作者： Wu, Hao 1 ; Chen, Haiquan 2 ; Yi, Bingqing 2 ; Rogers, Karyne M. 3 ; Bian, Xuehai 2 ; Lin, Ni 2 ; Zhou, Xiuwen 2 ; Jin, Baohui 2 ; Yan, Zhi 2 ; Zhou, Haichao 5 ;

作者机构： 1.Xiamen Univ, Coll Environm & Ecol, Key Lab Minist Educ Coastal & Wetland Ecosyst, Fujian 361102, Peoples R China

2.Food Inspection & Quarantine Ctr, Shenzhen Customs, Shenzhen 518016, Peoples R China

3.Zhejiang Acad Agr Sci, Inst Qual & Stand Agr Prod, Hangzhou 310021, Peoples R China

4.GNS Sci, Natl Isotope Ctr, Lower Hutt 5040, New Zealand

5.Shenzhen Univ, Coll Life Sci & Oceanog, Shenzhen 518061, Peoples R China

关键词： Bottled mineral water; Stable isotopes; Hydrochemistry; Origin traceability; Artificial neural network; Discriminant analysis

期刊名称：JOURNAL OF HYDROLOGY （ 影响因子：6.708； 五年影响因子：6.731 ）

ISSN： 0022-1694

年卷期： 2023 年 616 卷

页码：

收录情况： SCI

摘要： A comprehensive study of 96 bottled mineral water (BMW) samples consisting of 21 of the most popular origins and brands sourced from China (n = 38), France (n = 20), Italy (n = 10), New Zealand (n = 17) and Fiji (n = 12) has been undertaken. The 618O and 613C of dissolved inorganic carbon (DIC), 618O and 62H of water, mineral elements (Li, Na, Mg, K, Ca, Sr) and ions (Cl-, SO42-, F-, CO32-, HCO3-) were investigated and used for origin traceability. The origin of BMW was confirmed by applying Fisher discriminant analysis (Fisher -DA) and artificial neural network (ANN) models to these variables. 618ODIC, 613CDIC, 618O, 62H values of BMW showed significant deviations with origin. Mineral elements and anions varied widely due to different regional geology and hydrology characteristics. A discriminant model based on Fisher-DA showed that the identification accuracy of mineral water from different origins was in the range of 81 % to 100 %, whereas the discriminant accuracy was 100 % for the training samples and 96.0 % for the testing samples calculated by ANN. HCO3-, NO3-, 62H, delta 18O and F- were the most important variables that characterized BMWs from different origins. Using a combination of stable isotopes and different water chemical components, BMWs from China can be accurately distinguished from other origins using multivariate statistical models.

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