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, <i>Agave angustifolia</i> and <i>Agave potatorum</i>. 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.