PAZOUREK, Jiří, Dagmar GAJDOŠOVÁ, Miroslava SPANILÁ, Marta FARKOVÁ, Klára NOVOTNÁ a Josef HAVEL. Analysis of polyphenols in wines: correlation between total polyphenolic content and antioxidant potential from photometric measurements. Prediction of cultivars and vintage from capillary zone electrophoresis fingerprints using artificial neural network. Journal of Chromatography A. Elsevier B.V., 2005, roč. 1081, č. 1, s. 48-54. ISSN 0021-9673.
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Základní údaje
Originální název Analysis of polyphenols in wines: correlation between total polyphenolic content and antioxidant potential from photometric measurements. Prediction of cultivars and vintage from capillary zone electrophoresis fingerprints using artificial neural network
Název česky Analysis of polyphenols in wines: correlation between total polyphenolic content and antioxidant potential from photometric measurements. Prediction of cultivars and vintage from capillary zone electrophoresis fingerprints using artificial neural network
Autoři PAZOUREK, Jiří (203 Česká republika), Dagmar GAJDOŠOVÁ (203 Česká republika), Miroslava SPANILÁ (203 Česká republika), Marta FARKOVÁ (203 Česká republika), Klára NOVOTNÁ (203 Česká republika) a Josef HAVEL (203 Česká republika, garant).
Vydání Journal of Chromatography A, Elsevier B.V. 2005, 0021-9673.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 10406 Analytical chemistry
Stát vydavatele Nizozemské království
Utajení není předmětem státního či obchodního tajemství
Impakt faktor Impact factor: 3.096
Kód RIV RIV/00216224:14310/05:00013615
Organizační jednotka Přírodovědecká fakulta
UT WoS 000230319800009
Klíčová slova anglicky capillary electrophoresis; wine; artificial neural networks; solid phase extraction
Štítky artificial neural networks, Capillary electrophoresis, Solid Phase Extraction, Wine
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: RNDr. Marta Farková, CSc., učo 546. Změněno: 25. 2. 2013 12:31.
Anotace
The polyphenols (some of them are also called phytoalexins, flavonols, flavanons, flavanonols, flavons, flavanols, and anthocyanines) are usually marked as potent antioxidants or radical scavengers which assist the body cells against oxidation. Polyphenols in wine are also considered to explain so called French paradox (long life aging and low number of coronary diseases despite of high alcohol and fat consumption). The total polyphenolic content (TPC) and total antioxidant potential (TAP) were determined by photometry and found strongly correlated. This finding suggests that the determination of TAP can be replaced by a more simple procedure of TPC determination. Capillary zone electrophoresis (CZE) with preconcentration by solid phase extraction (SPE) was applied for some polyphenols determination and for obtaining electropherograms of the SPE extracts (fingerprints). From mathematical evaluation of the fingerprints, prediction of cultivars and vintage using artificial neural networks (ANN) was done with more than 90 % correct prediction. The study was performed on a set of 47 samples of young wines (vintage 1999-2002) from south Moravia (Czech Republic) and New South Wales (Australia).
Anotace česky
The polyphenols (some of them are also called phytoalexins, flavonols, flavanons, flavanonols, flavons, flavanols, and anthocyanines) are usually marked as potent antioxidants or radical scavengers which assist the body cells against oxidation. Polyphenols in wine are also considered to explain so called French paradox (long life aging and low number of coronary diseases despite of high alcohol and fat consumption). The total polyphenolic content (TPC) and total antioxidant potential (TAP) were determined by photometry and found strongly correlated. This finding suggests that the determination of TAP can be replaced by a more simple procedure of TPC determination. Capillary zone electrophoresis (CZE) with preconcentration by solid phase extraction (SPE) was applied for some polyphenols determination and for obtaining electropherograms of the SPE extracts (fingerprints). From mathematical evaluation of the fingerprints, prediction of cultivars and vintage using artificial neural networks (ANN) was done with more than 90 % correct prediction. The study was performed on a set of 47 samples of young wines (vintage 1999-2002) from south Moravia (Czech Republic) and New South Wales (Australia).
Návaznosti
MSM 143100011, záměrNázev: Struktura a vazebné poměry, vlastnosti a analýza syntetických a přírodních molekulových ansamblů
Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Struktura a vazebné poměry, vlastnosti a analýza syntetických a přírodních molekulových ansamblů
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