Abstract
The potential of excitation - emission matrices (EEM) measurements using classical right angle technique, in conjunction with chemometrics, was prospected for white wine classification with respect to their cultivar and geographical origin. For this purpose, wines belonging to four cultivars (Chardonnay, Pinot Gris, Riesling and Sauvignon) from two different countries (Romania and France) were investigated. The excitation – emission matrices were statistically processed using parallel factor analysis (PARAFAC). According to Soft Independent Modeling Classification Analogy (SIMCA) model, for cultivar differentiation, only 3 out of 107 wine samples (1 Pinot Gris (Romania); 1 Riesling (Romania) and 1 Sauvignon (France)) were misclassified while for geographical origin assessment, only 2 wines (1 Romania and 1 France) were misclassified. This study demonstrates the potential of excitation – emission fluorescence matrices spectroscopy using the classical right angle technique in wine authentication, without sample dilution.
Highlights
The potential of excitation - emission matrices (EEM) measurements using classical right angle technique, in conjunction with chemometrics, was prospected for white wine classification with respect to their cultivar and geographical origin
The main objective of this paper is to prospect the potential of excitation – emission matrix (EEM) fluorescence spectroscopy, in conjunction with Parallel Factor Analysis (PARAFAC), principal component analysis (PCA) and Soft Independent Modeling of Class Analogy (SIMCA) for the discrimination, with respect to cultivar and geographical origin, of a wine set containing samples with very distinct geographical origins coming from Romanian and France
Because of the wide range of naturally occurring fluorescent compounds, that exists in a wine sample, the specific emission – excitation matrix represents an overlapped signal of the fluorophores individual contribution
Summary
The potential of excitation - emission matrices (EEM) measurements using classical right angle technique, in conjunction with chemometrics, was prospected for white wine classification with respect to their cultivar and geographical origin. The main objective of this paper is to prospect the potential of excitation – emission matrix (EEM) fluorescence spectroscopy, in conjunction with Parallel Factor Analysis (PARAFAC), principal component analysis (PCA) and Soft Independent Modeling of Class Analogy (SIMCA) for the discrimination, with respect to cultivar and geographical origin, of a wine set containing samples with very distinct geographical origins coming from Romanian and France. In this regard, a number of 107 white wine samples, from four cultivars (Chardonnay, Pinot Gris, Riesling, Sauvignon Blanc) were considered for this study. Our choice of the methodology is driven by the need to have an easy, affordable and accessible way to discriminate white wines that typical food control labs can employ
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