Diferenciación de mezcales de cuatro especies de agave usando FT-MIR y análisis estadístico multivariado
DOI:
https://doi.org/10.18633/biotecnia.v26.2210Palabras clave:
Mezcal, agave, discriminación, espectroscopíaResumen
Espectrofotometría Infrarroja en la región media con Transformada de Fourier (FT-MIR) y análisis estadístico multivariado fueron utilizados para diferenciar mezcales elaborados con cuatro especies de agave. La matriz de datos FT-MIR fue sometida a transformaciones espectrales mediante primera y segunda derivada. El Análisis Discriminante por Mínimos Cuadrados Parciales (PLS) a partir de datos transformados con primera y segunda derivada permitió la diferenciación de mezcales. En tanto, el Análisis Discriminante mediante Mínimos Cuadrados Parciales Ortogonales (OPLS-DA) fue más robusto cuando se analizó con los datos de segunda derivada. Las comparaciones pareadas mediante OPLS-DA permitió la discriminación adecuada de los mezcales, principalmente entre Agave karwinskii y Agave potatorum (Q2 = 0.654 and p-value < 0.01; R2Y = 0.985 and p-value < 0.01) y entre Agave angustifolia y Agave karwinskii (Q2 = 0.563 and p-value = 0.01; R2Y = 0.989 and p-value = 0.01). La espectrofotometría FT-MIR y la Regresión PLS (PLS-R) lograron predecir el porcentaje de etanol (% v/v) en los mezcales colectados en 2022 con base en el modelo PLS-R previamente generado con muestras evaluadas en 2021.
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