Open AccessCHEMOMETRIC APPROACH BASED ON FATTY ACID COMPOSITION AND δ13С ANALYSIS FOR VERIFICATION OF ORGANIC RAW MILK FROM COWS WITH DIFFERENT DIET
Author(s) -
Ya.F. Zhukova,
P. Petrov,
Larysa Klimenko,
Yu.N. Demikhov
Publication year - 2019
Publication title -
carpathian journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.169
H-Index - 7
eISSN - 2344-5459
pISSN - 2066-6845
DOI - 10.34302/crpjfst/2019.11.2.1
Subject(s) - silage , conjugated linoleic acid , hay , composition (language) , food science , fatty acid , chemistry , raw milk , raw material , fodder , linoleic acid , mathematics , zoology , biology , agronomy , organic chemistry , linguistics , philosophy
The growing interest in organic farming, which involves a significantpercentage of "green grass" and hay in the animal diet and increasing theoutput of milk labeled "100% grass-fed," induces an urgent necessity forauthentication such value-added products. The aim of this study was todevelop the integrated approach for discrimination of organic milk fromfarms with silage-haylage and grass-hay cow diet. The research was basedon the characterization of fatty acid composition and carbon stable isotopesratios (δ13C), and included data processing with chemometric approach.It has been shown that absolute value ranges of most fatty acids didn’t allowto discriminate the milk from different organic farms, although thedifference in certain fatty acids content between separate seasons has beenproven to be statistically significant. This integrated approach withapplication of the principal components analysis envisaged that the analyzedparameters were normalized by the maximum value and the data matrixconsisted of not only absolute values of the fatty acids content, but alsoadditional derivative parameters (the sum of cis-, trans-isomers etc.). Theapproach proved the significance of content values of C16:1 trans-9, C18:1trans-11, C18:3 cis-9,12,15, C18:2 trans-9,12 and conjugates of linoleic acidfor milk samples discrimination. Thus, the analysis of the total data set ofabsolute and derivative normalized parameters by the method of principalcomponents analysis allows to distinguish completely the organic milk withdifferent share of green grass and hay in cows diet both the stalling andpasture periods.