Metal Complexes as Catalyst Precursors for Catalytic Reduction of Carbon dioxide
Metal complexes, CO2 catalytic reduction, Schiff base ligands, mechanistic studies, formate and methanol
Abstract CO2 is a major contributor to greenhouse effect, and its utilization has been of global interest from both theoretical and practical viewpoints. The utilization and transformation of CO2 into value-added chemicals has attracted much attention in recent years as requirements for its trapping from power plants arise. Thus, the development of efficient methods of CO2 hydrogenation is highly desirable. Several attempts have been made to achieve the homogeneous hydrogenation of CO2 to formic acid in aqueous solutions using mainly rhodium and ruthenium catalyst/catalyst precursors however; this process still requires catalysts with high selectivity and activity. The hydrogenation of CO2 to methanol has been mainly achieved through heterogeneous catalysts which require harsh conditions such as high pressure and temperature so there is a need to explore homogeneous catalysts for the same cause. This article seeks to review metal complexes that have effectively catalyse the hydrogenation of CO2 thereby contributing to some of the principles of green chemistry which include prevention of waste, atom efficiency, less hazardous chemical synthesis and use of renewable feedstocks. The article seeks to also review mechanistic studies for CO2 hydrogenation using various metal complexes as catalysts.
"Metal Complexes as Catalyst Precursors for Catalytic Reduction of Carbon dioxide", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 2, page no.115 - 127, February-2021, Available :https://ijsdr.org/papers/IJSDR2102018.pdf
Volume 6
Issue 2,
February-2021
Pages : 115 - 127
Paper Reg. ID: IJSDR_192898
Published Paper Id: IJSDR2102018
Downloads: 000347433
Research Area: Chemistry
Country: Grodno, Grodno, Belarus
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave