Authors:
Dina Gligor (Pane), Daniel Ioan Hădărugă, Nicoleta Gabriela Hădărugă
Volume 26, Issue 3;
Pages: 251-257; 2020
ISSN: 2069-0053 (print) (former ISSN: 1453-1399), Agroprint;
ISSN (online): 2068-9551
 Abstract:
The review focuses on the chemometric tools used for evaluation of the quality and authenticity of forest fruits (berries) through the antioxidant compounds analysis and fingerprinting. The classification of forest fruits, especially growing in Romania, the composition and analysis techniques for the antioxidant compounds, as well as the “key” compounds have been presented. The coupling of the analysis techniques for the forest fruit antioxidants with chemometric tools is emphasized. The unsupervised and supervised pattern recognition techniques such as cluster analysis, principal component analysis, discriminant analysis and artificial neural networks have been considered for the quality and authenticity evaluation. Finally, the appropriate antioxidant compound analysis – chemometry coupling techniques were emphasized for the evaluation of the quality and authenticity of autochthonous forest fruits.
Keywords:
forest fruits, berries, quality and authenticity, fingerprint, chemometry, multivariate statistical analysis, cluster analysis, principal component analysis, discriminant analysis, coupling techniques
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Faculty of Food Processing Technology
Royalty