Chemometric classification of Chinese lager beers according to manufacturer based on data fusion of fluorescence, UV and visible spectroscopies

卷:184

Tan, Jin ; Li, Rong ; Jiang, Zi-Tao

关键词: Beers;    Manufacturer;    Data fusion;    Synchronous fluorescence;    UV and visible;    Principal component analysis (PCA);    Linear discriminant analysis (LDA);   

DOI  :  10.1016/j.foodchem.2015.03.085

学科分类：食品科学和技术

【 摘 要 】

We report an application of data fusion for chemometric classification of 135 canned samples of Chinese lager beers by manufacturer based on the combination of fluorescence, UV and visible spectroscopies. Right-angle synchronous fluorescence spectra (SFS) at three wavelength difference Delta lambda = 30, 60 and 80 nm and visible spectra in the range 380-700 nm of undiluted beers were recorded. UV spectra in the range 240-400 nm of diluted beers were measured. A classification model was built using principal component analysis (PCA) and linear discriminant analysis (LDA). LDA with cross-validation showed that the data fusion could achieve 78.5-86.7% correct classification (sensitivity), while those rates using individual spectroscopies ranged from 42.2% to 70.4%. The results demonstrated that the fluorescence, UV and visible spectroscopies complemented each other, yielding higher synergic effect. (C) 2015 Elsevier Ltd. All rights reserved.