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[ 2006 ]
Journal of Food Agriculture & Environment Journal of Food Agriculture & Environment

Near infrared spectroscopy, cluster and multivariate analysis – contributions to wine analysis

Wheeler, Steve J. (author), Pickering, Gary J. (author)

In this work we investigated different vine grapes (genus Vitis), grape varieties and bottled red wines using fiber-optics based near infrared transflectance and transmission spectroscopy. Recording of spectra in the transmission mode allowed distinguishing between different vine grapes. 57 bottles of Cabernet Sauvignon, Lagrein and Chianti Classico were analysed. Principal component analysis (PCA) over a wavenumber range from 4,500 to 10,000 cm-1 including data pretreatment allowed assigning each wine to a separate cluster with a Q-value of 0.72. Partial least square regression (PLSR) additionally allowed determining the mixing ratio of grape varieties in one bottle of red wine. Therefore this model can help the consumer check the wine for its quality and thus prevent him from being misled. In order to achieve a fast and simple quantitative analysis in the transflectance mode of the carbohydrate, total acid, tartaric acid, malic acid, polyphenol content and pH value in Weißburgunder, Chardonnay, Ruländer, Silvaner, Müller Thurgau, Gewürztraminer, Sauvignon, Lagrein, Grossvernatsch, Blauburgunder, Cabernet and Merlot grapes a NIRS method was established.

Keywords: Wine, near infrared spectroscopy, cluster analysis, multivariate analysis

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