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The Provenance of Slovenian Milk Using (87)Sr/(86)Sr Isotope Ratios

This work presents the first use of Sr isotope ratios for determining the provenance of bovine milk from different regions of Slovenia. The analytical protocol for the determination of (87)Sr/(86)Sr isotope ratio was optimised and applied to authentic milk samples. Considerable variability of (87)Sr...

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Detalles Bibliográficos
Autores principales: Gregorčič, Staša Hamzić, Ogrinc, Nives, Frew, Russell, Nečemer, Marijan, Strojnik, Lidija, Zuliani, Tea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393216/
https://www.ncbi.nlm.nih.gov/pubmed/34441507
http://dx.doi.org/10.3390/foods10081729
Descripción
Sumario:This work presents the first use of Sr isotope ratios for determining the provenance of bovine milk from different regions of Slovenia. The analytical protocol for the determination of (87)Sr/(86)Sr isotope ratio was optimised and applied to authentic milk samples. Considerable variability of (87)Sr/(86)Sr ratios found in Slovenian milk reflects the substantial heterogeneity of the geological background of its origin. The results, although promising, cannot discount possible inter-annual or annual variation of the Sr isotopic composition of milk. The (87)Sr/(86)Sr ratios of groundwater and surface waters are in good correlation with milk, indicating that the Sr isotopic fingerprint in milk is reflective of cow drinking water. The (87)Sr/(86)Sr ratio has the potential to distinguish between different milk production areas as long as these areas are characterised by geo-lithology. Discriminant analysis (DA) incorporating the elemental composition and stable isotopes of light elements showed that (87)Sr/(86)Sr ratio together with δ(13)C(cas) and δ(15)N(cas) values have the main discrimination power to distinguish the Quaternary group (group 6) from the others. Group 1 (Cretaceous: Carbonate Rocks and Flysch) is associated with Br content, 1/Sr and δ(18)O(w) values. The overall prediction ability was found to be 63.5%. Pairwise comparisons using OPLS-DA confirmed that diet and geologic parameters are important for the separation.