Recent developments in alkene hydrosilylation utilizing manganese catalysts
Publication type: Journal Article
Publication date: 2023-11-01
scimago Q3
wos Q3
SJR: 0.334
CiteScore: 3.2
Impact factor: 1.5
ISSN: 00404039, 18733581
Organic Chemistry
Drug Discovery
Biochemistry
Abstract
Hydrosilylation of alkenes is an important process in the synthesis of organosilicon compounds in which an Si–H species is added across a carbon–carbon double bond (C=C). Transition-metal catalysts, particularly those comprising noble metals, are conventionally used in hydrosilylation owing to their exceptional catalytic activities and selectivities. However, their scarcity, toxicity, and high cost (especially those of platinum catalysts) have necessitated the exploration for alternatives. Manganese, which is a low-toxic, low-cost, and earth-abundant metal, constitutes a promising substitute for precious metals in hydrosilylation reactions. Nevertheless, manganese-catalyzed alkene hydrosilylation has not been as extensively studied as that of other earth-abundant metals such as iron (Fe), cobalt (Co), and nickel (Ni). This digest paper summarizes recent advances in manganese-catalyzed hydrosilylation.
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Katayama N., Obora Y. Recent developments in alkene hydrosilylation utilizing manganese catalysts // Tetrahedron Letters. 2023. Vol. 132. p. 154798.
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Katayama N., Obora Y. Recent developments in alkene hydrosilylation utilizing manganese catalysts // Tetrahedron Letters. 2023. Vol. 132. p. 154798.
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TY - JOUR
DO - 10.1016/j.tetlet.2023.154798
UR - https://doi.org/10.1016/j.tetlet.2023.154798
TI - Recent developments in alkene hydrosilylation utilizing manganese catalysts
T2 - Tetrahedron Letters
AU - Katayama, Nobuki
AU - Obora, Yasushi
PY - 2023
DA - 2023/11/01
PB - Elsevier
SP - 154798
VL - 132
SN - 0040-4039
SN - 1873-3581
ER -
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@article{2023_Katayama,
author = {Nobuki Katayama and Yasushi Obora},
title = {Recent developments in alkene hydrosilylation utilizing manganese catalysts},
journal = {Tetrahedron Letters},
year = {2023},
volume = {132},
publisher = {Elsevier},
month = {nov},
url = {https://doi.org/10.1016/j.tetlet.2023.154798},
pages = {154798},
doi = {10.1016/j.tetlet.2023.154798}
}