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Prediction of phenolic compounds in red wine fermentations by near infrared spectroscopy

Citation

Cozzolino, D and Kwiatkowski, MJ and Parker, M and Cynkar, WU and Dambergs, RG and Gishen, M and Herderich, MJ, Prediction of phenolic compounds in red wine fermentations by near infrared spectroscopy, Analytica Chimica Acta: International Journal Devoted to All Branches of Analytical Chemistry, 513 pp. 73-80. ISSN 0003-2670 (2004) [Refereed Article]

DOI: doi:10.1016/j.aca.2003.08.066

Abstract

Near infrared (NIR) spectroscopy was used to simultaneously predict the concentrations of malvidin-3-glucoside (M3G), pigmented polymers (PP) and tannins (T) in red wine. A total of 495 samples from 32 commercial scale red wine fermentations over two vintages using two grape varieties (Cabernet Sauvignon and Shiraz), and also including as additional variables two types of fermenters, two different yeasts, and three fermentation temperatures were used. Samples were scanned in transmission mode (400-2500 nm) using a monochromator instrument (NIRSystems6500). Calibration equations were developed from high performance liquid chromatography (HPLC) and NIR data using partial least squares (PLS) regression with internal cross validation. Using PLS regression, very good calibration statistics (Rcal2>0.80) were obtained for the prediction of M3G, PP and T with standard deviation (S.D.)/standard error in cross validation (SECV) ratio (residual predictive deviation, RPD)) ranging from 1.8 to 5.8. It was concluded that near infrared spectroscopy could be used as rapid alternative method for the prediction of the concentration of phenolic compounds in red wine fermentations. © 2003 Elsevier B.V. All rights reserved.

Item Details

Item Type:Refereed Article
Research Division:Agricultural and Veterinary Sciences
Research Group:Horticultural Production
Research Field:Oenology and Viticulture
Objective Division:Plant Production and Plant Primary Products
Objective Group:Industrial Crops
Objective Field:Wine Grapes
Author:Dambergs, RG (Dr Robert Dambergs)
ID Code:78204
Year Published:2004
Web of Science® Times Cited:206
Deposited By:Agricultural Science
Deposited On:2012-06-17
Last Modified:2012-06-17
Downloads:0

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