Mn-Catalyzed Regioselective Alkene Hydrosilylation: From Mechanism Investigation to the Design of a Pre-Catalyst Candidate

The catalytic hydrosilylation of alkenes is a cornerstone process in the large-scale production of organosilicon compounds. As an alternative to precious metal catalysts, manganese-based systems such as Mn(CO)5Br have gained significant attention due to their low cost and high availability. However, the catalytic mechanism in place is not completely understood, and several propositions have been described in the literature. To clarify this point, we have employed a combined experimental and computational approach to elucidate the activation mechanism of Mn(CO)5Br in the anti-Markovnikov hydrosilylation of alkenes. Our findings reveal that the initiation involves specific CO ligand dissociation and substrate coordination to generate an active Mn(I) intermediate that catalyzes the desired transformation via concerted 2-electron organometallic pathways. Exploration of reaction mechanisms at the DFT level provided detailed insights into the activation mechanism of Mn(CO)5Br, enabling the rational design of the Mn–alkyl complex Mn(CO)5(nOct) as a precatalyst that offers direct access to the active catalytic cycle. This complex promotes anti-Markovnikov hydrosilylation of alkenes at room temperature with loadings as low as 0.5 mol % while retaining high activity and selectivity even in the presence of some contaminants.

Authors

Institutions

Publication Details

Journal
ACS Catalysis
Published
2025-09-19
DOI
https://doi.org/10.1021/acscatal.5c04086
Citations
1
Primary Topic
Asymmetric Hydrogenation and Catalysis
Type
article
Field-Weighted Citation Impact
0.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mn-Catalyzed Regioselective Alkene Hydrosilylation: From Mechanism Investigation to the Design of a Pre-Catalyst Candidate

Anthony Vivien, Naïme Soulé, Clément Camp, Pierre‐Adrien Payard et al.
1 citations
ACS Catalysis
Asymmetric Hydrogenation and Catalysis
0.54
article

Mn-Catalyzed Regioselective Alkene Hydrosilylation: From Mechanism Investigation to the Design of a Pre-Catalyst Candidate

Anthony Vivien, Naïme Soulé, Clément Camp, Pierre‐Adrien Payard, Ming-Yu Chen, Chloé Thieuleux, Lionel Perrin, Antoine FROT, Alejandra Zuluaga
article en
1 citations

Abstract

The catalytic hydrosilylation of alkenes is a cornerstone process in the large-scale production of organosilicon compounds. As an alternative to precious metal catalysts, manganese-based systems such as Mn(CO)5Br have gained significant attention due to their low cost and high availability. However, the catalytic mechanism in place is not completely understood, and several propositions have been described in the literature. To clarify this point, we have employed a combined experimental and computational approach to elucidate the activation mechanism of Mn(CO)5Br in the anti-Markovnikov hydrosilylation of alkenes. Our findings reveal that the initiation involves specific CO ligand dissociation and substrate coordination to generate an active Mn(I) intermediate that catalyzes the desired transformation via concerted 2-electron organometallic pathways. Exploration of reaction mechanisms at the DFT level provided detailed insights into the activation mechanism of Mn(CO)5Br, enabling the rational design of the Mn–alkyl complex Mn(CO)5(nOct) as a precatalyst that offers direct access to the active catalytic cycle. This complex promotes anti-Markovnikov hydrosilylation of alkenes at room temperature with loadings as low as 0.5 mol % while retaining high activity and selectivity even in the presence of some contaminants.

ACS CatalysisVol. 15(19)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), École d'Ingénieurs en Chimie et Sciences du Numérique (FR)
Openalex Percentile: Top 31%
Asymmetric Hydrogenation and Catalysis
0.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.