INVESTIGADORES
GRIBOFF Julieta
congresos y reuniones científicas
Título:
Metales y metaloides en el ambiente y su transferencia a productos alimenticios. Caso de estudio: leche argentina
Autor/es:
GRIBOFF, J.; WUNDERLIN, D. A.; MONFERRAN, M. V.
Reunión:
Congreso; VII Congreso Argentino de la Sociedad de Toxicología y Química Ambiental SETAC, Capítulo Argentino; 2018
Resumen:
The characterization of dairy foods represents a strategic issue of importance for the food industry. The quality of milk can be affected by local soil geochemistry, climate and processing. In particular, metals from water, from forages ingested by cattle and from the soil where these foods are grown can influence their composition. The objective of this work was to evaluate the concentration of metals, metalloids and isotopes of carbon (δ13C) and nitrogen (δ15N) in water samples of animal drink, soil, fodder and milk, and study the transfer of elements and isotopes measured from the environment to milk.For this, dairy farms from different regions of Argentina were selected: CBA-NE Region (Balnearia and Freyre), CBA-SUR Region (Vicuña Mackenna), Santa Fe Region (Suardi) and Catamarca Region. Multi-element analysis (Li, Be, Na, Mg, Al, K, Ca, V, Cr, Fe, Mn, Co, Ni, Cu, Zn, Ga, As, Se, Rb, Sr, Mo, Ag, Cd, Ba, Hg, Tl y Pb) were performed for all samples by acid digestion (when necessary), followed by ICP-MS. Light stable isotopes (δ13C and δ15N) were determined by IRMS. Both inorganic elements and stable isotopes results in water, soil, forage and milk were analyzed by multivariate techniques. Stepwise discriminant analysis (DA) afforded 100% correct classification on three samples (water, soil, and milk), according to their provenance: northeast of Córdoba (CBA-NE); southern Córdoba (CBA-South); Catamarca (CAT) and Santa Fe (SF). Canonical Correlation Analysis (CCA) was also applied to evaluate the correspondence between different matrixes under study (water, soil, forage and milk). CCA between milk and water showed no significant correlation (p =1) between both matrixes, although CCA between milk and soil showed a significant correlation (r = 0.99, p