期刊
FOOD CHEMISTRY
卷 361, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2021.130149
关键词
Extreme gradient boosting; Polyphenols; Multi-block data; Authenticity; Chemometrics; Vitis Vinifera
资金
- Australian Government Scholarship
- Wine Australia supplementary scholarship [WA Ph1909]
- Australian Government [IC170100008]
- Wine Australia
- Waite Research Institute
Fluorescence spectroscopy combined with chemometrics has been widely used in the analysis and classification of agricultural products. This study demonstrates the high accuracy and effectiveness of the A-TEEM technique for classifying red wines based on variety and geographical origin, as well as predicting phenolic compound concentrations.
Fluorescence spectroscopy is rapid, straightforward, selective, and sensitive, and can provide the molecular fingerprint of a sample based on the presence of various fluorophores. In conjunction with chemometrics, fluorescence techniques have been applied to the analysis and classification of an array of products of agricultural origin. Recognising that fluorescence spectroscopy offered a promising method for wine authentication, this study investigated the unique use of an absorbance-transmission and fluorescence excitation emission matrix (ATEEM) technique for classification of red wines with respect to variety and geographical origin. Multi-block data analysis of A-TEEM data with extreme gradient boosting discriminant analysis yielded an unrivalled 100% and 99.7% correct class assignment for variety and region of origin, respectively. Prediction of phenolic compound concentrations with A-TEEM based on multivariate calibration models using HPLC reference data was also highly effective, and overall, the A-TEEM technique was shown to be a powerful tool for wine classification and analysis.
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