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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%. 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.

Keywords

Raman spectroscopy multivariate analysis Mezcal aging

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Assessment of mezcal aging combining Raman spectroscopy and multivariate analysis techniques

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