Discrimination of Cognacs and other distilled drinks by mid-infrared spectropscopy
Autor: | Guillaume Snakkers, Pascale Lieben, Daniel Picque, Roger Cantagrel, Georges Corrieu, Odile Lablanquie |
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Přispěvatelé: | Génie et Microbiologie des Procédés Alimentaires (GMPA), Institut National de la Recherche Agronomique (INRA)-Institut National Agronomique Paris-Grignon (INA P-G), Bureau National Interprofessionnel du Cognac (BNIC) |
Rok vydání: | 2006 |
Předmět: |
Spectrophotometry
Infrared Analytical chemistry Mid infrared 01 natural sciences Mid infrared spectroscopy 0404 agricultural biotechnology Phenols MID-INFRARED SPECTROSCOPY [SDV.IDA]Life Sciences [q-bio]/Food engineering COGNAC DISCRIMINANT ANALYSIS Spectroscopy Spectral data Flavonoids Chromatography DISTILLED DRINKS Chemistry Alcoholic Beverages 010401 analytical chemistry Polyphenols 04 agricultural and veterinary sciences General Chemistry Linear discriminant analysis 040401 food science 0104 chemical sciences Polyphenol Principal component analysis General Agricultural and Biological Sciences AUTHENTICITY |
Zdroj: | Journal of Agricultural and Food Chemistry Journal of Agricultural and Food Chemistry, American Chemical Society, 2006, 54 (15), pp.5520-5526. ⟨10.1021/jf060465u⟩ |
ISSN: | 0021-8561 1520-5118 |
Popis: | International audience; Mid-infrared spectroscopy was applied to the analysis and discrimination of Cognacs and other distilled drinks (Armagnacs, whiskies, brandies, bourbons, rums, and counterfeit products). Strong correlations were found between dry extract spectra, polyphenolic dry extract spectra, and the total polyphenol concentration of samples, notably of Cognacs. Principal component analysis applied to spectral data made it possible to emphasize the importance of dry extract data when a distinction is made between Cognacs and Armagnacs, whiskies, bourbons, and rums, and of polyphenol concentration when Cognacs, brandies, and counterfeit products are separated. Ninety-six percent of samples in the test set were correctly assigned to Cognacs and non-Cognacs by partial least-squares discriminant analysis. |
Databáze: | OpenAIRE |
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