DR-FTIR结合SIMCA识别不同种类原料米酿造的黄酒

doi:10.7506/spkx1002-6630-201314059

食品科学

DR-FTIR结合SIMCA识别不同种类原料米酿造的黄酒

黄桂东，毛健，姬中伟，傅健伟，邹慧君

1.江南大学食品学院，江苏无锡 214122；2.国家黄酒工程技术研究中心，浙江绍兴 312000

出版日期:2013-07-25 发布日期:2013-08-02

Pattern Recognition of Chinese Rice Wine from Different Rice Varieties by DR-FTIR and SIMCA

HUANG Gui-dong，MAO Jian，JI Zhong-wei，FU Jian-wei，ZOU Hui-jun

1. School of Food Science and Technology, Jiangnan University, Wuxi 214122, China；
2. National Rice Wine Engineering Technology Research Center, Shaoxing 312000, China

Online:2013-07-25 Published:2013-08-02

摘要/Abstract

摘要：

利用漫反射傅里叶变换红外光谱(DR-FTIR)技术采集黄酒的红外光谱图，利用软独立模式分类(SIMCA)识别法对其进行模式识别研究，以期将黄酒按照原料米的种类进行识别。结果表明，选取波数975～1165cm-1和1250～1500cm-1作为特征向量，进行Savitzky-Golay 9点平滑、自动基线校正和标准矢量归一化处理后，建立以大米品种为分类标准的SIMCA识别模型，在5%显著水平下，识别率达100%，除糯米黄酒的拒绝率为75%外，其余黄酒的拒绝率均达100%。表明大米品种对黄酒的最终品质有影响，而SIMCA模式识别能恰当地反应这种影响关系。

关键词: 黄酒, 稻米, 漫反射傅里叶变换红外光谱, 软独立模式分类, 主成分分析

Abstract:

In the present study, the pattern recognition analysis of Chinese rice wine from different rice varieties was based
on diffuse reflectance fourier transform infrared spectroscopy (DR-FTIR) and soft independent modeling of class analogy
(SIMCA). The results showed that the model of SIMCA was established successfully, and the identification rates and
rejection rates of the predicted samples were 100% at the significance level of 0.05, except Chinese rice wine of glutinous
rice with the rejection ratio of 75%. The model was based on the pre-treatments of nine-point smoothing of Savitzky-Golay,
automatic baseline correction and standard normal variate (SNV) normalization in the spectral regions of 975–1165 cm-1
and 1250–1500 cm-1. It suggested that rice varieties can affect the quality of Chinese rice wine and the pattern recognition
of SIMCA was useful to identify Chinese rice wine from different rice varieties, which will provide scientific proofs for a
traceability system from Chinese rice wine to rice.

Key words: Chinese rice wine, rice, diffuse reflectance Fourier transform infrared spectroscopy, soft independent modeling of class analogy, principle component analysis

黄桂东，毛健，姬中伟，傅健伟，邹慧君. DR-FTIR结合SIMCA识别不同种类原料米酿造的黄酒[J]. 食品科学, doi: 10.7506/spkx1002-6630-201314059.

HUANG Gui-dong，MAO Jian，JI Zhong-wei，FU Jian-wei，ZOU Hui-jun. Pattern Recognition of Chinese Rice Wine from Different Rice Varieties by DR-FTIR and SIMCA[J]. FOOD SCIENCE, doi: 10.7506/spkx1002-6630-201314059.

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DR-FTIR结合SIMCA识别不同种类原料米酿造的黄酒

Pattern Recognition of Chinese Rice Wine from Different Rice Varieties by DR-FTIR and SIMCA

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