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Fluorescence spectroscopy and chemometrics in the food classification - a review

Year: 2007
Type: article
Abstract: This review deals with the last few years' articles on various fluorescence techniques (conventional, excitation-emission matrix, and synchronous fluorescence spectroscopy) as a tool for the classification of food samples. Chemometric methods as principal component analysis, hierarchical cluster analysis, parallel factor analysis, and factorial discriminate analysis are briefly reminded. The respective publications are then listed according to the food samples: dairy products, eggs, meat, fish, edible oils, and others.
Language: English
Field: Chemistry
Open Access status: gold
Estimated APC paid: $609
OpenAlex ID: W2490544534
FWCI: 3.85
Cites: 63
Cited by: 215
Related to: 10