Multielemental + isotopic fingerprint enables linking soil, water, forage and milk composition, assessing the geographical origin of Argentinean milk. (15th June 2019)

• Record Type: Journal Article
• Authors: Griboff, Julieta; Baroni, María V.; Horacek, Micha; Wunderlin, Daniel A.; Monferran, Magdalena V.
• Is Part Of: Food chemistry. Volume 283(2019)
• Page Start: 549
• Page End: 558
• Publication Date: 2019-06-15
• Subjects: Milk provenance -- Trace elements -- Isotopic fingerprint -- Geographical origin; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2019.01.067
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: K/Rb and Ca/Sr differentiate soil, water, forage and milk from studied areas. Pairs Forage-milk, soil-milk and milk-water were correlated by canonical analysis. Generalized Procrustes Analysis linked water-soil-forage-milk from different areas. Multielemental + isotopic fingerprints discriminated milk from different areas. Abstract: The aim of this work was to verify the usefulness of multielemental and isotopic fingerprint to differentiate the origin of milk samples from different areas, linking milk fingerprint with those corresponding to soil, water, and forage. Samples from four production areas in Argentina were analysed: 26 elements, δ 2 H, δ 13 C, δ 15 N and δ 18 O. Milk provenance was assessed using 16 variables (Na, Mg, Al, V, Co, Ni, As, Se, Rb, Sr, Mo, Hg, δ 2 H, δ 18 O, δ 13 C and K/Rb). Generalized Procrustes Analysis (GPA) demonstrated the consensus between soil, water, forage and milk, in addition to differences between studied areas. Canonical Correlation Analysis (CCA) demonstrated significant correlations between the milk-drinking water, milk-forage, and milk-soil. So far, we report a feasible method to establish the milk provenance, assessing the follow up from environmental matrixes (soil + water) to dairy products through the food web (forage) by a combined chemical-isotopic fingerprint.