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Issue 22, 2021
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Determining the geographical origin of milk by multivariate analysis based on stable isotope ratios, elements and fatty acids

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Abstract

To construct a reliable discrimination model for determining milk geographical origin, stable isotope ratios including δ13C, δ15N and δ18O, 51 elements and 35 fatty acids (FAs) in milk samples from Australia, New Zealand and Austria were detected and analyzed. It is found that all of the stable isotope ratios in the milk samples of Australia are the highest, followed by those of the samples from New Zealand and Austria. In addition, 14 elements and 8 FAs show different contents in the samples of different countries at the significance level of P < 0.05. Based on these results, a multivariate model with good robustness and predictive ability for authenticating milk origin (R2X = 0.693, Q2 = 0.854) was successfully constructed. Element contents and stable isotope ratios are more reliable variables for milk origin discrimination and Rb, δ18O, Tl, Ba, Mo, Sr, δ15N, Cs, As, Eu, C20:4n6, Sc, C13:0, K, Ca and C16:1n7 are the critical markers in the multivariate model for verifying milk origin.

Graphical abstract: Determining the geographical origin of milk by multivariate analysis based on stable isotope ratios, elements and fatty acids

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Submitted
27 Feb 2021
Accepted
03 May 2021
First published
04 May 2021

Anal. Methods, 2021,13, 2537-2548
Article type
Paper

Determining the geographical origin of milk by multivariate analysis based on stable isotope ratios, elements and fatty acids

S. Xu, C. Zhao, X. Deng, R. Zhang, L. Qu, M. Wang, S. Ren, H. Wu, Z. Yue and B. Niu, Anal. Methods, 2021, 13, 2537
DOI: 10.1039/D1AY00339A

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