This work aims to discriminate milk samples according to their geographical origin, heat treatment, and season of production. This was achieved by combining different techniques, such as isotope ratio mass spectrometry (IRMS), mid- (MIRS) and near-infrared spectroscopies (NIRS), and gas chromatography with flame ionization detector (GC-FID). Milk samples were from North Tyrol (raw milk), South Tyrol (raw milk and high-temperature short time (HTST)), both collected in different seasons. Ultra-high-temperature (UHT) milk samples were from other European regions. These techniques, when used alone, showed limited discrimination capacity. Instead, when such techniques were combined in a multi-variate classification method (PLS-DA), then, milk samples were discriminated according to their geographical origin with an error lower than 5 %. The type of processing and the season were also discriminated. The combination of different techniques compensated their inherent limits and provided a good potential for determining the geographic origin of milk.

Scampicchio, M., Eisenstecken, D., de Benedictis, L., Capici, C., Ballabio, D., Mimmo, T., et al. (2016). Multi-method Approach to Trace the Geographical Origin of Alpine Milk: a Case Study of Tyrol Region. FOOD ANALYTICAL METHODS, 9(5), 1262-1273 [10.1007/s12161-015-0308-2].

Multi-method Approach to Trace the Geographical Origin of Alpine Milk: a Case Study of Tyrol Region

BALLABIO, DAVIDE;
2016

Abstract

This work aims to discriminate milk samples according to their geographical origin, heat treatment, and season of production. This was achieved by combining different techniques, such as isotope ratio mass spectrometry (IRMS), mid- (MIRS) and near-infrared spectroscopies (NIRS), and gas chromatography with flame ionization detector (GC-FID). Milk samples were from North Tyrol (raw milk), South Tyrol (raw milk and high-temperature short time (HTST)), both collected in different seasons. Ultra-high-temperature (UHT) milk samples were from other European regions. These techniques, when used alone, showed limited discrimination capacity. Instead, when such techniques were combined in a multi-variate classification method (PLS-DA), then, milk samples were discriminated according to their geographical origin with an error lower than 5 %. The type of processing and the season were also discriminated. The combination of different techniques compensated their inherent limits and provided a good potential for determining the geographic origin of milk.
Articolo in rivista - Articolo scientifico
Scientifica
Alpine region; Fatty acid profile (GC-FID); Geographical origin; Isotope ratio mass spectrometry (IRMS); Milk; Near-infrared spectroscopy (NIRS);
Alpine region; Fatty acid profile (GC-FID); Geographical origin; Isotope ratio mass spectrometry (IRMS); Milk; Near-infrared spectroscopy (NIRS); Food Science; Analytical Chemistry; Applied Microbiology and Biotechnology; Safety, Risk, Reliability and Quality; Safety Research
English
Scampicchio, M., Eisenstecken, D., de Benedictis, L., Capici, C., Ballabio, D., Mimmo, T., et al. (2016). Multi-method Approach to Trace the Geographical Origin of Alpine Milk: a Case Study of Tyrol Region. FOOD ANALYTICAL METHODS, 9(5), 1262-1273 [10.1007/s12161-015-0308-2].
Scampicchio, M; Eisenstecken, D; de Benedictis, L; Capici, C; Ballabio, D; Mimmo, T; Robatscher, P; Kerschbaumer, L; Oberhuber, M; Kaser, A; Huck, C; Cesco, S
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/108663
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