基于傅里叶变换近红外光谱的脂环酸芽孢杆菌种间分类鉴定

Differentiation and Identification of Alicyclobacillus Strains by Fourier Transform Near-Infrared Spectroscopy

傅里叶变换近红外光谱(Fourier transform near infrared spectroscopy,FT-NIR)可以反映微生物细胞的分子振动信息,特异性鉴别不同类别的微生物。为了建立准确、有效的脂环酸芽孢杆菌种间分类鉴定的方法,文章基于FT-NIR技术进行了如下探究:(1)收集了7株不同种的标准菌近红外漫反射光谱数据并进行预处理,运用化学计量学中的主成分分析(principal component analysis,PCA)和线性判别分析(linear discriminant analysis,LDA)对其种间水平区分与判别的可行性进行探索。结果表明:PCA模型能对7株标准菌进行正确区分,LDA模型Ⅰ判别准确率为100%,初步证明该方法可以对脂环酸芽孢杆菌种间水平进行分类鉴定。(2)为了提高模型的稳健性和实用性,在上述标准菌建模的样品中加入分离菌,用41株菌的光谱信息依照上述方法进行数据分析后建立LDA种间判别模型Ⅱ。结果表明:选取其中15个样本进行评估,模型Ⅱ准确率为86.67%,菌种信息更全面、可信性更高。因此,FT-NIR技术结合化学计量学方法可以准确、有效地进行脂环酸芽孢杆菌的种间分类鉴定。

Fourier transform near-infrared spectroscopy（FT-NIR）can reflect the overall molecular composition of microbial cells to identify different types of microorganisms.To establish an accurate,effective method about the differentiation and identification of Alicyclobacillus strains between different species,the present research performed the following studies by FT-NIR：（1）The FT-NIR spectra about seven type stains was clustered for data analysis.After preprocessing,reduction of data was performed by Principal Component Analysis（PCA）and Linear Discriminant Analysis（LDA）,exploring the feasibility of differentiation and identification between different species,the result suggested that the PCA model can cluster the seven species of Alicyclobacillus strains correctly and the LDA modelⅠcan predict the unknown species with 100% accuracy.It evidenced that the method could identify different species of Alicyclobacillus strains preliminary.（2）In order to improve the robustness and practicability of the model,a total of 41 Alicyclobacillus strains including type and isolated strains were prepared for LDA modelⅡ,using the same methods as mentioned before.The result indicated that the LDA model validated by fifteen sample with 86.67%accuracy.It was more perfect and more comprehensive.As a result,the FT-NIR technology combined with chemometrics method can accurately and effectively identify Alicyclobacillus strains between different microbial species.