Chemometric classification of Chinese lager beers according to manufacturer based on data fusion of fluorescence, UV and visible spectroscopies.
Food Chem
; 184: 30-6, 2015 Oct 01.
Article
em En
| MEDLINE
| ID: mdl-25872423
ABSTRACT
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 Δλ=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.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Espectrometria de Fluorescência
/
Espectrofotometria Ultravioleta
/
Cerveja
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article