Resumen

LOPEZ-AGUILAR, Rosa et al. Differentiation of mezcales from four agave species using FT-MIR and multivariate statistical analysis. Biotecnia [online]. 2024, vol.26, e2210.  Epub 14-Ene-2025. ISSN 1665-1456.  https://doi.org/10.18633/biotecnia.v26.2210.

Fourier Transform Mid-Infrared (FT-MIR) spectroscopy and multivariate statistical analysis were used to differentiate mezcales elaborated with four agave species. The FT-MIR data matrix was subjected to spectral transformations using first and second derivatives. The Partial Least Squares (PLS)Discriminant Analysis (DA) with the matrix transformed by the first and second derivative allowed the differentiation of mezcales, while Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA) was more robust when it was analyzed with second-derivative data. Pairwise comparisons by OPLS-DA allowed mezcales to be correctly discriminated, mainly between Agave karwinskii and Agave potatorum (Q2 = 0.654 and p - value < 0.01; R2Y = 0.985 and p-value < 0.01) and between Agave angustifolia and Agave karwinskii (Q2 = 0.563 and p-value = 0.01; R2Y = 0.989 and p-value = 0.01). FTMIR spectrophotometry and the PLS-Regression (PLS-R) were applied to predict the ethanol percentage (% v/v) of mezcales collected in 2022, based on the PLS-R model previously run on samples evaluated in 2021.

Palabras llave : Mezcal; agave, discrimination; spectroscopy.

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