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    HOU Jianbo, ZHANG Xiaofeng, ZHU Xiaoyu, XIE Wen, ZHANG Mingzhe, DENG Xiaojun, HAN Fang, SHI Yingzhu, ZHU Zelong. Determination of δ13C, δ15N, δ2H, δ18O in Milk and Its Application to Discrimination of Their Producing Areas[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART B:CHEMICAL ANALYSIS, 2020, 56(6): 627-634. DOI: 10.11973/lhjy-hx202006002
    Citation: HOU Jianbo, ZHANG Xiaofeng, ZHU Xiaoyu, XIE Wen, ZHANG Mingzhe, DENG Xiaojun, HAN Fang, SHI Yingzhu, ZHU Zelong. Determination of δ13C, δ15N, δ2H, δ18O in Milk and Its Application to Discrimination of Their Producing Areas[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART B:CHEMICAL ANALYSIS, 2020, 56(6): 627-634. DOI: 10.11973/lhjy-hx202006002

    Determination of δ13C, δ15N, δ2H, δ18O in Milk and Its Application to Discrimination of Their Producing Areas

    • Instruments of elemental analysis-isotope ratio mass spectrometer (EA-IRMS) and GasBench-isotope ratio mass spectrometer (GasBench-IRMS) were used in the determination of ratios of stable isotopes of carbon, nitroge, hydrogen and oxygen (abbrev. as δ13C、δ15N、δ2H and δ18O respectively) in 83 milk samples collected from 7 different countries of the world (namely. Australia, New Zealand, Spain, Germany, Austria, Italy and China). And by using the software of SPSS 20.0, the data of δ of the 4 elements obtained were sudied chemometrically by variance analysis, clustering analysis and discriminate analysis for the producing area of the milk samples. It was found from the testing results that some valuable informations relating to the producing source of the milk samples were obtained from each of the δ values of the 4 elements, however it was still not a sound base for discrimination of the producing area of the milk samples. It was shown by the results of further investigation, the correctness of discrimination was significantly raised to a value of 84.3% by a combinatorial study of the data of δ13C、δ15N and δ2H, and discrimination of the producing area of milk samples could be attained more effectively. Furthermore, mathematical models for discrimination of producing areas among the 7 countries were also established on the base of the δ-values of the 3 isotopic elements. In discrimination of unknown samples from the 7 countries, the isotopic ratios of carbon, nitrogen and hydrogen were determined and the data obtained were substituted into the discrimination models to give values of Y, among which the one with largest Y value was qualified belonging to the country designated by the model.
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