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Identifier 000428370
Title Ταυτοποίηση και μελέτη γνησιότητας μελιού, ελαιολάδου και κρασιού με την χρήση οπτικών φασματοσκοπικών τεχνικών σε συνδυασμό με μεθόδους μηχανικής μάθησης
Alternative Title Identification and study of authenticity of honey, olive oil and wine with the use of optical spectroscopic techniques with the combination of machine learning methods
Author Ορφανάκης, Εμμανουήλ Σ.
Thesis advisor Χανιωτάκης, Νικόλαος
Reviewer Βελεγράκης, Μιχάλης
Σαμαρτζής, Πέτρος
Abstract The identification and study of authenticity of agri-food products is a need that focuses on the interest of both the general public and producers. High valueadded agri-food products such as wine, olive oil and honey are at the heart of this field as their geographical and botanical origin can be falsified. Classic analytical techniques that are applied to ensure the products quality and origin are accurate but time consuming. This study uses spectroscopic absorption, fluorescence and Raman techniques to systematically record optical spectra as characteristic ''fingerprints'' reflecting the chemical composition of agri-food products. The optical data were used in combination with machine learning models to determine the botanical origin of wine from different wineries and varieties, the botanical origin of honey derived from flowers, thyme and pine trees and the geographical origin of olive oil manufactured in Peloponnese, Crete and Lesvos. Models built by Principal Component Analysis (PCA), partial least squares (PLS), partial least squares discriminant analysis (PLS-DA) methodologies, where capable of distinguishing the botanical origin of the wine and honey samples and the geographical origin of the olive oil samples with high success rates, demonstrating the applicability of spectroscopic techniques in this field.
Language Greek
Subject Absorption spectroscopy
Botanical origin
Fluorescence spectroscopy
Geographical origin
Olive oil
Partial least squares discriminant
Principles component analysis
Raman spectroscopy
Ανάλυση διακριτότητας μερικών ελαχίστων τετραγώνων
Ανάλυση κύριων συνιστωσών
Βοτανική προέλευση
Γεωγραφική προέλευση
Φασματοσκοπία Raman
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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