abstract

• Raman spectroscopy and multivariate analysis techniques are proposed as a method to evaluate the mezcal (Agave distillate) aging. Multivariate analysis was performed using Principal component analysis discriminant analysis (PCA-DA) and Partial least squares discriminant analysis (PLS-DA). The first principal component discriminates between aged and rested matured mezcal while the second principal component discriminates between non-matured and matured mezcal. PCA-DA and PLS-DA were chosen as supervised classifiers to predict the belonging of unlabeled spectra to one of the aging classes with accuracy of 93%25. The results agree with previously published work and also demonstrated that using a reduced Raman spectral region it is possible the discrimination mezcal with different aging time. A reduction on the spectral information allows development of a Raman instrumentation with reduced complexity and cost with specific application to alcoholic beverage quality assessment.

authors

• Aguirre Rivera Juan Rogelio
• González Contreras Francisco Javier
• Guevara Codina Edgar
• Juárez Flores Bertha Irene
• Ramírez Elías Miguel Ghebre
• Zamora-Pedraza C.

publication date

• 2017-01-01

funding provided via

• CONAFOR-CONACYT FS-2006-41801; Cátedras CONACYT Proyecto 528  Grant

published in

• Biomedical Spectroscopy and Imaging,  Journal

keywords

• Raman spectroscopy, multivariate analysis, Mezcal, aging

Digital Object Identifier (DOI)

• 10.3233/BSI-170163

PubMed ID

start page

• 75

end page

• 81

volume

• 6

issue

• 12