Application of Recombinant [NiFe]-Hydrogenase for Sustainable Coenzyme Regeneration

Hydrogenases are key enzymes in microbial energy metabolism, catalyzing the reversible conversion between molecular hydrogen and protons. Among them, [NiFe]-hydrogenases are particularly attractive for biocatalytic applications due to the oxygen tolerance of several members of this class and their ability to couple hydrogen oxidation with redox cofactor regeneration. In this study, a recombinant soluble [NiFe]-hydrogenase from Cupriavidus necator H16 was successfully expressed in Escherichia coli BL21 (DE3), purified, and characterised with a focus on its applicability for NAD+ regeneration. Unlike previous studies that primarily used native C. necator extracts or complex maturation systems, this work provides the first quantitative demonstration that an aerobically purified recombinant soluble [NiFe]-hydrogenase expressed in E. coli can function effectively as an NAD+ regeneration catalyst and operate within multi-enzymatic cascade reactions under application-relevant conditions. The crude recombinant enzyme displayed a volumetric activity of 0.273 ± 0.024 U/mL and a specific activity of 0.018 ± 0.002 U/mgcells in the hydrogen oxidation assay, while purification yielded a specific activity of 0.114 ± 0.001 U/mg with an overall recovery of 79.2%. The enzyme exhibited an optimal temperature of 35 °C and a pH optimum of 7.00. Thermal stability analysis revealed rapid deactivation at 40 °C (kd = 0.4186 ± 0.0788 h−1, t1/2 ≈ 1.7 h) and substantially slower deactivation at 4 °C (kd = 0.1141 ± 0.0139 h−1, t1/2 ≈ 6.1 h). Batch NADH oxidation experiments confirmed efficient cofactor turnover and high specificity towards NADH over NADPH. Finally, integration of the hydrogenase into a one-pot two-enzyme glucose oxidation system demonstrated its capacity for in situ NAD+ regeneration, although the reaction stopped after approximately 5 min due to acidification from gluconic acid formation, highlighting pH control as a key requirement for future process optimization.