Prediction of selected colour indices in red fruit wines

• Autorzy: Maniak B. , Kuna-Broniowska I.

Warianty tytułu

PL

Predykcja wybranych wskaznikow barwy czerwonych win owocowych

• Języki publikacji: EN

Abstrakty

EN

The study deals with the dependencies between indicators characterising the colored matter in cherry wines as well as three technological parameters: pH, sulfur dioxide, and alcohol. The experiment has been established in accordance with the CCRD system (Central Composite Rotatable Design) considering each of three independent variables at five different levels. Second-order polynomial equation has been fitted to each qualitative trait. It has been found that fitted models – at 0.01 level – have sufficiently described the variability of the studied wine colour indices (WC), polymeric pigment colour (PPC), anthocyanin colour (AC), colour quality (T), and chemical age of wine (CAW). Determination coefficients R2 for those traits have been higher than 0.55, therefore the variability of each trait has been in over 55% explained by the fitted model. Fitted regression models can be used to predict studied indicators characterising the colored matter at wines.

PL

W Katedrze Biologicznych Podstaw Technologii Żywności i Pasz AR w Lublinie zbadano zależności między wskaźnikami charakteryzującymi substancje barwne win wiśniowych oraz trzema parametrami technologicznymi: wartością pH, zawartością ditlenku siarki i alkoholu. Doświadczenie założono według układu CCRD (Central Composite Rotatable Design) rozpatrując każdą z trzech zmiennych niezależnych na 5 różnych poziomach. Dla każdej cechy jakościowej wina dopasowywano równanie wielomianowe drugiego stopnia. Stwierdzono, że dopasowane modele, na poziomie istotności 0,01, opisują wystarczająco dobrze zmienność badanych wskaźników barwy WC (barwa wina), PPC (barwniki polimerowe), AC (barwa antocyjanów), T (jakość barwy) oraz CAW (chemiczny wiek wina). Współczynniki determinacji R2 dla tych cech są większe niż 0,55, zatem zmienność każdej cechy jest w ponad 55% wyjaśniana przez dopasowany model. Dopasowane modele regresji mogą być użyte do predykcji badanych wskaźników charakteryzujących substancje barwne win.

Słowa kluczowe

EN

alcohol; colour index; red fruit wine; pH; wine colour; regression model; wine

• Wydawca: -
• Czasopismo: Polish Journal of Food and Nutrition Sciences
• Rocznik: 2007
• Tom: 57
• Numer: 3[A]
• Opis fizyczny: p.83-87,fig.,ref.

Twórcy

autor

Maniak B.

• University of Agriculture in Lublin, Doswiadczalna 50A, 20-280 Lublin, Poland

autor

Kuna-Broniowska I.

Bibliografia

• 1. Almela L., Javaloy S., Fernández-López J.A., López-Roca J.M., Comparison between the tristimulus measurements Yxy and L* a* b* to evaluate the colour of young red wines. Food Chem., 1995, 53, 321-327.
• 2. Almela L., Javaloy S., Fernández-López J.A., López-Roca J.M., Varietal classification of young red wines in terms of chemical and colour parameters. J. Sci. Food Agric., 1996, 70, 173-180.
• 3. Bridle P., Timberlake C.F., Anthocyanins as natural food colours - selected aspects. Food Chem., 1997, 58, 103-109.
• 4. Dallas C., Laureano O., Effects of pH, sulphur dioxide, alcohol contents, temperature and storage time on colour composition of young Portuguese red table wine. J. Sci. Food Agric., 1994, 65, 477-485.
• 5. Gómez-Plaza E., Gil-Muńoz R., López-Roca J.M., Martínez, A., Color and phenolic compounds of a young red wine as discriminanting variables of its ageing status. Food Res. Internat., 1999, 32, 503-507.
• 6. Gómez-Plaza E., Gil-Muńoz R., López-Roca J.M., Martínez-Cutillas A., Fernández-Fernández J.I., Maintenance of colour composition of a red wine during storage. Influence of prefermentative practices, maceration time and storage. Lebensm. - Wiss. u.-Technol., 2002, 35, 46-53.
• 7. Heinonen M., Lechtonen P.J., Hopia A.J., Antioxidant activity of berry and fruit wines and liquors. J. Agric. Food Chem., 1998, 46, 25-31.
• 8. Heredia F.J., Troncoso A.M., Guzmán-Chozas M., Multivariate characterization of aging status in red wines based on chromatic parameters. Food Chem., 1997, 60, 103-108.
• 9. Ho P., Silva M.C.M., Hogg T.A., Changes in colour and phenolic composition during the early stages of maturation of port in wood, stainless steel and glass. J. Sci. Food Agric., 2001, 81, 1269-1280.
• 10. Kalt W., McDonald J.E., Donner H., Anthocyanins, phenolics and antioxidant capacity of processed lowbush blueberry products. J. Food Sci., 2000, 65, 390-393.
• 11. Mazza G., Fukumoto L., Delaquis P.G., Ewert B., Anthocyjanins, phenolics, and color of Cabernet Franc, Merlot, and Pinot Noir wines from British Columbia. J. Agric. Food Chem., 1999, 47, 4009-4017.
• 12. MacDougall D.B., Colour in Food – Improving Quality. 2002, 1st ed., MacDougall D.B, Woodhead Publishing, pp. 1-2, 37-39.
• 13. Monagas M., Begona B., Gomez-Cordoves C., Updates knowledge about the presence of phenolic compounds in wine. Critical Rev. Food Sci. Nutr., 2005, 45, 85-118.
• 14. Montgomery C.D., Design and Analysis of Experiments. 1984, 2nd ed., John Wiley &Sons, Inc. New York, USA.
• 15. Pogorzelski E., Czyżowska A., Some physical and chemical properties of polyphenol as evaluation parameters of quality and colours of red wine. Przem. Ferm. Owoc. Warz., 1997, 5, 14-16 (in Polish; English abstract).
• 16. Soleas G.J., Diamandis E.P., Goldberg D.M., Wine as a biological fluid: History, production, and role in disease prevention. J. Clin. Labor. Analys., 1997, 11, 287-313.
• 17. Somers T.C., Evans M.E., Spectral evaluation of young red wines: anthocyanin equilibria, total phenolics, free and molecular SO2, “chemical age”. J. Sci. Food Agric., 1977, 28, 279-287.
• 18. Yokotsuka K., Michikatsu S., Ueno N., Singleton V.I., Colour and sensory characteristic of merlot red wines caused by prolonged pomace contact. J. Wine Res., 2000, 11, 7-18.
• 19. Wzorek W., Pogorzelski E., Technologia winiarstwa owocowego i gronowego. 1998, Wyd. Sigma NOT, pp. 125-138 (in Polish).