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Proceedings Paper

Prediction of soluble solids content and ph in red wine by visible and near infrared spectroscopy
Author(s): Li Wang; Yong He; Yanyan Wang
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Paper Abstract

Soluble solids content (SSC) and pH are two major characteristic used for assessing quality of red wine, and they are also two important quality indexes in the manufacture of red wine. For rapid detection of SSC and pH in red wine, visible and near infrared (Vis/NIR) transmittance spectroscopy technique combined with partial least squares (PLS) and least squares support vector machines (LS-SVM) were used in this study. First, the near infrared transmittance spectra of 175 red wine samples were obtained using Vis/NIR spectroradiometer, then, PLS was applied for reducing the dimensionality of the original spectra, latent variables (LVs) selected by PLS could be used to replace the complex spectral data. All samples were randomly separated into calibration set and validation set. The LVs (selected by PLS) of each sample in calibration set was used as the inputs to train the LS-SVM model, then the optimal model was used to predict the SSC and pH values of samples in validation set based on their LVs. Standard error prediction (SEP) and determination coefficient (r2) were used as the evaluation standards, and the results indicated that the SEP and r2 for the prediction of SSC were 0.2313 and 0.9348; while 0.0071 and 0.9986 for pH. This prediction model was more accurate compared with the related research.

Paper Details

Date Published: 3 March 2008
PDF: 7 pages
Proc. SPIE 6621, International Symposium on Photoelectronic Detection and Imaging 2007: Photoelectronic Imaging and Detection, 662121 (3 March 2008); doi: 10.1117/12.790977
Show Author Affiliations
Li Wang, Zhejiang Univ. (China)
Yong He, Zhejiang Univ. (China)
Yanyan Wang, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 6621:
International Symposium on Photoelectronic Detection and Imaging 2007: Photoelectronic Imaging and Detection

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