Quality Determination of Chinese Rice Wine Based on Fourier Transform near Infrared Spectroscopy

To evaluate the applicability of near infrared (NIR) spectroscopy for the determination of five enological parameters (alcoholic degree, pH value, total acid, amino acid nitrogen and °Brix) in Chinese rice wine, transmission spectra were collected in the spectral range from 800 nm to 2500 nm in a 1 mm path length rectangular quartz cuvette with air as the reference at room temperature. Five calibration equations for the enological parameters were established between the reference data and NIR spectra by partial least squares (PLS) regression, separately. The best calibration results were achieved for the determination of alcoholic degree and °Brix. The coefficients of determination in calibration (R2cal) for alcoholic degree and °Brix were 0.93 and 0.96, respectively. The predictive deviation ratio (RPD) value of the calibration for alcoholic degree was higher than 3 (3.95), which demonstrated the robustness of the calibration model. The RPD value for °Brix was 2.34. The performance of the calibration models for pH, total acid and amino acid nitrogen were not as good as that of alcoholic degree and °Brix. The RPD values for the three parameters were 1.41, 1.38 and 1.27, respectively and R2cal values were 0.97, 0.83 and 0.90, respectively. In the validation step, r2val values for alcoholic degree and °Brix were all higher than 0.9. The performance of pH and total acid were acceptable [the coefficients of determination in validation (r2val) for pH and total acid were 0.82 and 0.77, respectively]. The performance of amino acid nitrogen model was the worst, with an r2val value of 0.62. The results demonstrated that the NIR spectroscopic technique could be used to predict the concentrations of these five enological parameters in Chinese rice wine.

[1]  Alejandra Urtubia,et al.  Monitoring large scale wine fermentations with infrared spectroscopy. , 2004, Talanta.

[2]  Yukihiro Ozaki,et al.  A near-infrared study of hydrogen bonds in alcohols—comparison of chemometrics and spectroscopic analysis , 1999 .

[3]  D. Frank,et al.  Trace metal studies of selected white wines: an alternative approach , 2002 .

[5]  M. de la Guardia,et al.  PLS-NIR determination of total sugar, glucose, fructose and sucrose in aqueous solutions of fruit juices , 1997 .

[6]  Tom Fearn,et al.  Practical Nir Spectroscopy With Applications in Food and Beverage Analysis , 1993 .

[7]  D. Cozzolino,et al.  Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy , 2004 .

[8]  Manuel Urbano-Cuadrado,et al.  Near infrared reflectance spectroscopy and multivariate analysis in enology , 2004 .

[9]  J. Rubim,et al.  Determination of ethanol in fuel ethanol and beverages by Fourier transform (FT)-near infrared and FT-Raman spectrometries. , 2003 .

[10]  M. Sáiz-Abajo,et al.  Classification of wine and alcohol vinegar samples based on near-infrared spectroscopy. Feasibility study on the detection of adulterated vinegar samples. , 2004, Journal of agricultural and food chemistry.

[11]  J B Callis,et al.  Noninvasive method for monitoring ethanol in fermentation processes using fiber-optic near-infrared spectroscopy. , 1990, Analytical chemistry.

[12]  H. Büning-Pfaue Analysis of water in food by near infrared spectroscopy , 2003 .

[13]  T. Fearn To Average or Not to Average , 2002 .

[14]  Mark Gishen,et al.  Rapid analysis of methanol in grape-derived distillation products using near-infrared transmission spectroscopy. , 2002, Journal of agricultural and food chemistry.

[15]  C. Garcia-Jares,et al.  Application of multivariate calibration to the simultaneous routine determination of ethanol, glycerol, fructose, glucose and total residual sugars in botrytized-grape sweet wines by means of near-infrared reflectance spectroscopy , 1997 .

[16]  D. Cozzolino,et al.  Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins. , 2003, Journal of agricultural and food chemistry.

[17]  Manuel Urbano-Cuadrado,et al.  Near infrared reflectance spectroscopy and multivariate analysis in enology , 2004 .

[18]  Ludovic Duponchel,et al.  Quality evaluation of sugar beet (Beta vulgaris) by near-infrared spectroscopy. , 2004, Journal of agricultural and food chemistry.