Recent Advances in Niobium-Mediated Organic Synthesis: Catalytic Modes, Reactivity, Limitations, and Biomass Valorization
Vitor F. Moreno, Maria L. C. D. Tomás, José H. Faleiro, Lucas M. Martins, Giovanny C. dos Santos, Adilson Y. Furuse, Luiz C. da Silva-Filho, Bruno H. S. T. da SilvaAbstract
This review critically examines the use of niobium-based compounds in organic synthesis and biomass valorization reported over the past decade. The discussion is organized by catalyst/promoter class (NbCl5, Nb2O5, ammonium niobium oxalate, and modified niobium materials), followed by an analysis of their applications in biomass valorization and a critical assessment of their practical limitations. Using a systematic search strategy, this review establishes explicit quantitative criteria to distinguish genuine catalytic performance from stoichiometric promoter-mediated pathways. Key performance parameters, including catalyst loadings, medium effects, recyclability, and comparative benchmarking against relevant non-niobium alternatives, are systematically assessed. In addition, experimentally demonstrated mechanisms are rigorously distinguished from proposed mechanistic pathways. The analysis reveals that niobium systems are most effective when strong substrate activation is combined with water tolerance and ease of recovery, as demonstrated in Nb2O5-catalyzed transformations. However, NbCl5-mediated reactions frequently rely on superstoichiometric loadings and stringent conditions, severely limiting their practical efficiency. Crucially, a targeted quantitative screening of the literature identifies substantial reporting gaps regarding industrial relevance, continuous processing, leaching and deactivation, and standardized green chemistry metrics (e.g., E-factor). Overall, while heterogeneous niobium materials with tunable Lewis/Brønsted acidity emerge as promising platforms, future progress will require a shift from empirical optimization toward computationally guided catalyst design, standardized sustainability evaluations, and process-oriented validation under scalable conditions.