Classification of lactic acid bacteria with UV-resonance Raman spectroscopy
Classification of lactic acid bacteria with UV-resonance Raman spectroscopy
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DOI：
10.1002/bip.20448
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发表时间：
2006-07-01
期刊：
影响因子：
2.9
通讯作者：
Popp, J.
中科院分区：
文献类型：
--
作者：
Gaus, K.;Roesch, P.;Popp, J.
将紫外共振拉曼光谱技术应用于酸奶中乳酸菌的鉴定。从嗜酸乳杆菌、德氏乳杆菌、德氏乳杆菌中分离到8株不同的细菌。对保加利亚乳杆菌、嗜热链球菌进行了研究。在244 nm的激发波长下，核酸和蛋白质的信号被选择性地增强。使用不同的化学计量学方法完成分类。在第一次尝试中，应用非监督方法层次聚类分析和主成分分析来调查数据中的自然分组。在第二步中，使用几种有监督的方法来分析光谱：K最近邻分类器、最近均值分类器、线性判别分析和支持向量机。(C)2006年威利期刊公司。
UV-resonance Raman spectroscopy is applied as a method for the identification of lactic acid bacteria from yogurt. Eight different strains of bacteria from Lactobacillus acidophilus, L. delbrueckii ssp. bulgaricus, and Streptococcus thermophilus were investigated. At an excitation wavelength of 244 nm signals from nucleic acids and proteins are selectively enhanced. Classification was accomplished using different chemometric methods. In a first attempt, the unsupervised methods hierarchical cluster analysis and principal component analysis were applied to investigate natural grouping in the data. In a second step the spectra were analyzed using several supervised methods: K-nearest neighbor classifier, nearest mean classifier, linear discriminant analysis, and support vector machines. (c) 2006 Wiley Periodicals, Inc.