Literature DB >> 29377136

Characterization and differentiation of sheep's milk from Greek breeds based on physicochemical parameters, fatty acid composition and volatile profile.

Ilias S Gatzias1, Ioannis K Karabagias1, Stavros P Kontakos2, Michael G Kontominas1, Anastasia V Badeka1.   

Abstract

BACKGROUND: There are only limited studies in the literature attempting to differentiate sheep's milk originating from different sheep breeds. In the present study the physicochemical parameters (pH, percent fat, percent protein, percent lactose and percent total solids), fatty acid composition and volatile profile of raw milk from four autochthonous Greek breeds (Karagouniko, Mpoutsiko, Artas and Chios) were determined. The objective of the present study was to characterize and differentiate the sheep breeds based on the above analytical parameters in combination with chemometrics.
RESULTS: The overall correct classification rate was 79.7%%, 84.4% and 100% based on physicochemical parameters, fatty acid composition and volatile profile, respectively. Volatiles proved to be the most effective of parameters analyzed for the differentiation of sheep breed. Furthermore, the combination of physicochemical parameters and fatty acid composition gave a correct classification rate equal to 96.9%.
CONCLUSION: Either volatile profile or the combination of physicochemical parameters and fatty acid composition may be easily determined and used for the differentiation of sheep's milk from four different Greek breeds, this being the novelty of the present work. This may be very important in terms of PDO (Protected Designation of Origin) and PGI (Protected Geographical Indication) products related to specific geographical origin and sensory characteristics.
© 2018 Society of Chemical Industry. © 2018 Society of Chemical Industry.

Entities:  

Keywords:  chemometrics; differentiation; fatty acids; sheep breed; sheep's milk; volatile profile

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Year:  2018        PMID: 29377136     DOI: 10.1002/jsfa.8914

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  2 in total

1.  Discovery of Volatile Biomarkers of Parkinson's Disease from Sebum.

Authors:  Drupad K Trivedi; Eleanor Sinclair; Yun Xu; Depanjan Sarkar; Caitlin Walton-Doyle; Camilla Liscio; Phine Banks; Joy Milne; Monty Silverdale; Tilo Kunath; Royston Goodacre; Perdita Barran
Journal:  ACS Cent Sci       Date:  2019-03-20       Impact factor: 14.553

2.  Physicochemical, Spectroscopic, and Chromatographic Analyses in Combination with Chemometrics for the Discrimination of the Geographical Origin of Greek Graviera Cheeses.

Authors:  Kornilia A Vatavali; Ioanna S Kosma; Artemis P Louppis; Anastasia V Badeka; Michael G Kontominas
Journal:  Molecules       Date:  2020-07-31       Impact factor: 4.411

  2 in total

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