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《Opto-Electronic Engineering》 2010-10
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Quantitative Model of Alcohol and Acid in Chinese Rice Wine Based on Near-infrared Transmission Spectroscopy

HU Xiao-bang1,Lü Jin1, 2,LIU Hui-jun1,SHI Yang2,LIU Tie-bing2,LI Bo-bin3 ( 1. College of Metrology Technology & Engineering, China Jiliang University, Hangzhou 310018, China; 2. College of Automation & Electrical Engineering, Zhejiang University of Sci. and Tech, Hangzhou 310023, China; 3. Chinese National Centre for Quality Supervision and Test of Chinese Rice Wine, Shaoxing 312071, Zhejiang Province, China )  
The quantitative models for alcohol and acid of Chinese rice wine were established by Near-infrared (NIR) transmission spectroscopy combined with Successive Projection Algorithm (SPA). Considering the influence of different kinds of wine, the optimal modeling method of alcohol and acid was developed by comparing the classification and mixed models for dry and semi-dry wine. SPA-PLS model was established by optimizing wavelengths on the range of 800~2500nm, which was better than full-spectrum PLS model. The correlation coefficient (R) of the model for acid, alcohol in dry wine and alcohol in semi-dry wine were 0.943, 0.983 and 0.993, respectively, and the Root Mean Square Errors of Cross Validation (RMSECV) were 0.258, 0.174 and 0.189, accordingly. The result indicated that the classification modeling significantly increased the precision of alcohol model, and the acid model has been improved by mixed modeling. SPA made the analysis model simple, and promoted the precision and stability. The result provides an effective way of building robust quantitative model in Chinese rice wine, and can be applied in on-line wines’ quality testing.
【Fund】: 浙江省科技计划资助项目(2009F70016);; 浙江科技学院博士启动专项(F015301A01)
【CateGory Index】: TS261.4
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