摘要
采用荧光光谱技术与模式识别分析法建立一种快速区分白酒香型的新技术。在495nm可见光激发下分别测定6种香型白酒、荧光素及这两种物质作用后200～800nm之间的荧光光谱,探讨了荧光素与白酒的作用机理。结合模式识别法对310～380nm和504～530nm两个波段对应的荧光强度值进行分层聚类分析(Hierarchical Cluster Analysis,HCA)和线性判别分析(Linear Discriminant Analysis,LDA),对荧光素区分不同香型白酒的效果进行验证。结果表明,HCA分析能完全区分6种香型白酒,LDA分析对所有样本均得到正确的判别,正确率为100%。因此,这种基于荧光素的荧光光谱法简单、有效,可用于不同香型白酒的快速区分。
The fluorescent spectrometry based on fluorescein combined with pattern recognition analysis was used for fast flavors discrimination in Chinese liquors. The fluorescence spectra between 200nm to 800nm of six different flavors Chinese liquors were scanned with the visible light excited at 495nm; also,the fluorescence spectra of fluorescein and the fluorescence spectra of the six different flavors liquors reacted with fluorescein were detected in the same condition. The reacted mechanism for fiuorescein and liquors were discussed. Hierarchical Cluster Analysis （HCA） and Linear Discriminant Analysis （LDA） were used for analyzing the fluorescence intensity of two wavelength range from 310-380nm and 504-530nm to test the effect of fluorescein distinguish different flavors liquors. Analytical results indicated that the six flavors Chinese liquors could be effetely distinguished by HCA,and all simples were correctly matched in LDA with a correct rate of 100%. The study demonstrated that the fluorescent spectrometry based on fluorescein would be a simple and effective approach for typical flavors distinguishing of Chinese liquors.
出处
《食品工业科技》
CAS
CSCD
北大核心
2011年第10期117-120,共4页
Science and Technology of Food Industry
基金
中央高校基本科研业务费(CDJXS102300)
重庆市科委攻关项目(2008AC7037)
重庆大学研究生创新团队(200909B1008)
泸州老窖股份有限公司合作研究基金项目(0221002605033)
酿酒生物技术及应用四川省重点实验室
关键词
荧光光谱
白酒香型
荧光素
分层聚类分析
线性判别分析
fluorescence spectrum
flavors of Chinese liquors
fluorescein
hierarchical cluster analysis
linear discriminant analysis
