Mechanistic insights into CO hydrogenation to methanol mediated by a manganese pincer catalyst: a DFT study

Abstract

The catalytic hydrogenation of carbon monoxide (CO) to methanol using manganese pincer complexes remains a significant challenge, requiring a deeper mechanistic understanding to guide the development of more efficient systems. In this study, we performed a comprehensive density functional theory (DFT) investigation to elucidate the reaction mechanism of CO hydrogenation catalyzed by a manganese complex bearing a pincer ligand. Our theoretical results reveal that the catalytic cycle proceeds through four key stages: (i) formation of N-formylpyrrole; (ii) formation of 1-pyrrolylmethanol; (iii) regeneration of the pyrrole (Pyr) and formation of formaldehyde; and (iv) the formation of the final product methanol. Among these, the cleavage of the C–N bond during the Pyr regeneration step was identified as the rate-determining step (RDS), with a free energy barrier (ΔΔG) of 22.1 kcal mol−1. In addition, our study highlights the essential role of K3PO4 in the reaction. Rather than acting as a simple base, K3PO4 functions also as a promoter that facilitates CO activation and promotes C–N bond formation in the early stages of the catalytic cycle. Based on these mechanistic insights, we further designed a modified catalyst structure with the potential to enhance the efficiency of Mn-catalyzed CO hydrogenation. This work provides valuable theoretical guidance for the rational design of next-generation catalysts aimed at sustainable methanol production from CO.

Graphical abstract: Mechanistic insights into CO hydrogenation to methanol mediated by a manganese pincer catalyst: a DFT study

Supplementary files

Article information

Article type
Paper
Submitted
23 Oct 2025
Accepted
08 Dec 2025
First published
12 Dec 2025

Catal. Sci. Technol., 2026, Advance Article

Mechanistic insights into CO hydrogenation to methanol mediated by a manganese pincer catalyst: a DFT study

S. Zhang, Z. Zhang, L. Qin, Q. Ma, Y. Hu, Y. Cao and L. Zhao, Catal. Sci. Technol., 2026, Advance Article , DOI: 10.1039/D5CY01266J

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