Potential of FT-MIR/GC-MS Multivariate Hyphenation for the Fast Characterization of Agavins Metabolism

Agavins are some of the most recently characterized fructans. FT-MIR is the fastest approach to detect them, and GC-MS provides valuable structural features. Thus, we explored the feasibility of integrating data from these two analytical platforms to characterize the metabolism of agavins from two emblematic agave species, Agave angustifolia and Agave potatorum. FT-MIR quickly provided information about the species and age variation. The analyses demonstrated for the first time the high efficiency of GC-MS glycosidic linkage analysis data for MVDA. Finally, specific MIR regions were correlated to structural features determined through GC-MS, which increased the level of structural information obtained by IR analyses. This approach could accelerate the study of agavins' metabolism.