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Identifier 000428378
Title Μελέτη εφαρμογής της οπτικής φασματοσκοπίας σε συνδυασμό με μεθόδπυς πολυπαραγοντικής στατιστικής ανάλυσης στον προσδιορισμό της προέλευσης και της ποιότητας προϊόντων αγροδιατροφής
Alternative Title Application of spectroscopic techniques coupled with multivariate statistical analysis for the origin discrimination and quality control of agrofoods
Author Κοντζεδάκη, Ρενάτε Γ.
Thesis advisor Ρίζος, Απόστολος
Reviewer Βελεγράκης, Μιχάλης
Σπύρος, Απόστολος
Abstract Food quality control is often based on modern and sophisticated analytical methods and processes that are costly, time-consuming and require specialized personnel. At the Institute of Electronic Structure and Laser of FORTH, we employ an alternative approach in order to investigate the rapid determination of the characteristic substances contained in food samples, with little or no processing. For this study, optical spectroscopic techniques [Absorption (UV-Vis-NIR), Fluorescence and Raman spectroscopy] are applied. This way, we can record the optical spectrum that is the characteristic “fingerprint” and reflects the chemical composition of a sample. Different samples have a different fingerprint and the detected differences or similarities, coupled with multivariate statistical analysis methods (Principal Component Analysis–PCA, Partial Least Squares Discriminant Analysis PLS-DΑ and PLS-regression), are used for origin and quality control. Within the framework of the present thesis, Greek wine varieties (Asyrtiko, Vilana, Kotsifali, Liatiko and Mantilari) from three wineries were studied. Analysis of samples was implemented during their maturation in different types of containers at different stages of 0, 3, 6 and 9 months. Furthermore, spectral data were correlated with data obtained by use of other analytical methods. Efficient mathematical models were constructed that were capable of successfully estimating the content of wine in phenolics, anthocyanins and tannins. Finally, samples of Cretan olive oil were investigated, that were obtained from the Pancretan Olive Oil Competition and had been graded by a trained team of testers using human senses. The samples were discriminated based on their quality (high and low quality) and crop type (organic and conventional cultivation).
Language Greek
Subject Fluorescence
Olive Oil
Partial Least Squares Discriminant Analysis
Partial Least Squares regression
Principal Component Analysis
Ανάλυση Διακριτότητας Μερικών Ελαχίστων Τετραγώνων
Ανάλυση Κύριων Συνιστωσών
Τεχνική Μερικών Ελαχίστων Τετραγώνων
Φασματοσκοπία Raman
Φασματοσκοπία Απορρόφησης
Φασματοσκοπία Φθορισμού
Issue date 2020-03-27
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Chemistry--Post-graduate theses
  Type of Work--Post-graduate theses
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