Chemometric Analysis of Fatty Acids Profile of Ripening Chesses.
Ag+-HPLC-DAD
GC-MS
chemometrics
cluster analysis
conjugated fatty acids
fatty acids
linear discrimination analysis
odd and branched fatty acids
principal component analysis
ripening cheese
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
15 Apr 2020
15 Apr 2020
Historique:
received:
25
03
2020
revised:
09
04
2020
accepted:
11
04
2020
entrez:
25
4
2020
pubmed:
25
4
2020
medline:
20
1
2021
Statut:
epublish
Résumé
The number of different types of cheese worldwide exceeds 4000 and dairy fat, composed of about 400 fatty acids (FA), is one of the most complex dietary fats. Cheeses are valuable sources of different bioactive FA, i.e., conjugated FA (CFA). The aim of present study was to determine FA profile of commercially available ripening cheeses, with the special emphasis on CFA profile. Multivariate analyses (cluster analysis (CA), principal component Analysis (PCA), and linear discriminant analysis (LDA)) of chromatographic data have been proposed as an objective approach for evaluation and data interpretation. CA enabled the differentiation of ripening cheeses from fresh cheeses and processed cheeses. PCA allowed to differentiate some types of ripening cheese whereas proposed LDA model, based on 22 analyzed FA, enabled assessing cheeses type with average predictive sensitivities of 86.5%. Results of present study clearly demonstrated that FA and CFA content may not only contribute to overall nutritional characteristics of cheese but also, when coupled with chemometric techniques, may be used as chemical biomarkers for assessing the origin and/or the type of ripening cheeses and the confirmation of their authenticity, which is of utmost importance for consumers.
Identifiants
pubmed: 32326473
pii: molecules25081814
doi: 10.3390/molecules25081814
pmc: PMC7221737
pii:
doi:
Substances chimiques
Dietary Fats
0
Fatty Acids
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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