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Application of Fourier Transform Infrared Spectroscopy in Identification of Wine Spoilage

文献类型： 外文期刊

作者： Zhao Xian-de 1 ; Dong Da-ming 1 ; Zheng Wen-gang 1 ; Jiao Lei-zi 1 ; Lang Yun 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

关键词： FTIR;Wine;Decay;Rancidity;PCA

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2014 年 34 卷 10 期

页码：

收录情况： SCI

摘要： In the present work, fresh and spoiled wine samples from three wines produced by different companies were studied using Fourier transform infrared (FTIR) spectroscopy. We analyzed the physicochemical property change in the process of spoilage, and then, gave out the attribution of some main FTIR absorption peaks. A novel determination method was explored based on the comparisons of some absorbance ratios at different wavebands although the absorbance ratios in this method were relative. Through the compare of the wine spectra before and after spoiled, the authors found that they were informative at the bands of 3 020 similar to 2 790, 1 760 similar to 4 620 and 1 550 similar to 800 cm(-1). In order to find the relation between these informative spectral bands and the wine deterioration and achieve the discriminant analysis, chemometrics methods were introduced. Principal compounds analysis (PCA) and soft independent modeling of class analogy (SIMCA) were used for classifying different-quality wines. And partial least squares discriminant analysis (PLS-DA) was applied to identify spoiled wines and good wines. Results showed that FIR technique combined with chemometrics methods could effectively distinguish spoiled wines from fresh samples. The effect of classification at the wave band of 1 550 similar to 800 cm(-1) was the best. The recognition rate of SIMCA and PLS-DA were respectively 94% and 100%. This study demonstrates that Fourier transform infrared spectroscopy is an effective tool for monitoring red wine's spoilage and provides theoretical support for developing early-warning equipments.

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