Measurement of pH of rice wines using Vis/NIR spectroscopy and least squares-support vector machine

Yong He; Fei Liu; Li Wang

doi:10.1117/12.783068

27 November 2007 Measurement of pH of rice wines using Vis/NIR spectroscopy and least squares-support vector machine

Yong He, Fei Liu, Li Wang

Proceedings Volume 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 67230W (2007) https://doi.org/10.1117/12.783068
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China

Abstract

Visible and near infrared (Vis/NIR) transmission spectroscopy and a hybrid chemometrics method were applied to determine the pH of rice wines. A spectroradiometer with a wavelength region of 325-1075 nm was used for spectral scanning. The calibration set was composed of 240 samples and 60 samples were used in the validation set. The smoothing way of Savitzky-Golay and standard normal variate (SNV) were used as data pre-processing methods. Principal components analysis (PCA) was employed to extract the principal components (PCs) which were used as the inputs of Least squares-support vector machine (LS-SVM) model. Then LS-SVM with radial basis function (RBF) kernel function was applied to build the regression model with a comparison of partial least squares (PLS) regression. The correlation coefficient (r), root mean square error of prediction (RMSEP) and bias of LS-SVM were 0.964, 2.62x10^-4 and 8.83x10^-4, respectively. Significant wavelengths for pH were proposed according to x-loading weights. The results indicated that Vis/NIR spectroscopy with the combination of LS-SVM could be utilized as an alternative way for the determination pH of rice wines.

Citation Download Citation

Yong He, Fei Liu, and Li Wang "Measurement of pH of rice wines using Vis/NIR spectroscopy and least squares-support vector machine", Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 67230W (27 November 2007); https://doi.org/10.1117/12.783068

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