Electrochemically driven efficient enzymatic conversion of CO2 to formic acid with artificial cofactorsShow others and affiliations
2021 (English)In: Journal of CO2 Utilization, ISSN 2212-9820, E-ISSN 2212-9839, Vol. 52, article id 101679Article in journal (Refereed) Published
Abstract [en]
Enzymatic reduction of CO2 to formic acid with the enzyme formate dehydrogenase (FDH) and a cofactor is a promising method for CO2 conversion and utilization. However, the natural cofactor nicotinamide adenine dinucleotide (NADH) shows some drawbacks such as a low reduction efficiency and forms isomers or dimers (1,6 - NADH or NAD dimer) in the regeneration reaction. To overcome them and to improve the production of formic acid, in this work, the artificial cofactors, i.e., the bipyridinium-based salts of methyl viologen (MV2+), 1,1’-dicarboxymethyl-4,4’-bipyridinium bromine (DC2+), and 1,1’-diaminoethyl-4,4’-bipyridinium bromine (DA2+), were used to replace NADH, and the effect of different functional groups on the electrochemical regeneration and catalytic performance in the enzymatic reaction was studied systematically. Also, studies using the natural cofactor NADH were carried out for comparison. It was found that the cofactor with amino groups showed the highest catalytic efficiency (kcat/Km) of 0.161 mM-1min-1, which is 536 times higher than that of the natural cofactor NADH. Molecular Dynamics simulations were conducted to give further molecular insight into the behavior of the cofactors. Analyzing the free energy profiles of the complexes between CO2 in the FDH active site with different artificial cofactors indicated that the artificial cofactor with the amino groups had the highest affinity for CO2, being consistent with the experimental observations.
Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 52, article id 101679
Keywords [en]
CO2 conversion, Formic acid, Enzyme, Artificial cofactors, Electrocatalysis, Umbrella sampling, Molecular dynamics
National Category
Energy Engineering
Research subject
Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-86827DOI: 10.1016/j.jcou.2021.101679ISI: 000701782400006Scopus ID: 2-s2.0-85113712692OAI: oai:DiVA.org:ltu-86827DiVA, id: diva2:1587928
Funder
Swedish Energy AgencySwedish Research Council
Note
Validerad;2021;Nivå 2;2021-09-01 (alebob);
Forskningsfinansiär: Ministry of Research and Innovation of Romania (PN-III-P4-ID-PCCF-2016-0050); Progetto Fondazione di Sardegna (CUP: F72F20000230007); Regione Autonoma della Sardegna (RASSR81788-2017)
2021-08-262021-08-262025-10-21Bibliographically approved