@article{a823af96fb08456aa21b05ffdddeea00,
title = "Fast CO2 hydration kinetics impair heterogeneous but improve enzymatic CO2 reduction catalysis",
abstract = "The performance of heterogeneous catalysts for electrocatalytic CO2 reduction suffers from unwanted side reactions and kinetic inefficiencies at the required large overpotential. However, immobilized CO2 reduction enzymes—such as formate dehydrogenase—can operate with high turnover and selectivity at a minimal overpotential and are therefore {\textquoteleft}ideal{\textquoteright} model catalysts. Here, through the co-immobilization of carbonic anhydrase, we study the effect of CO2 hydration on the local environment and performance of a range of disparate CO2 reduction systems from enzymatic (formate dehydrogenase) to heterogeneous systems. We show that the co-immobilization of carbonic anhydrase increases the kinetics of CO2 hydration at the electrode. This benefits enzymatic CO2 reduction—despite the decrease in CO2 concentration—due to a reduction in local pH change, whereas it is detrimental to heterogeneous catalysis (on Au) because the system is unable to suppress the H2 evolution side reaction. Understanding the role of CO2 hydration kinetics within the local environment on the performance of electrocatalyst systems provides important insights for the development of next-generation synthetic CO2 reduction catalysts. [Figure not available: see fulltext.]",
author = "Cobb, {Samuel J.} and Badiani, {Vivek M.} and Dharani, {Azim M.} and Andreas Wagner and S{\'o}nia Zacarias and Oliveira, {Ana Rita} and Pereira, {In{\^e}s A.C.} and Erwin Reisner",
note = "Funding Information: This work was supported by a European Research Council Consolidator Grant (MatEnSAP, no. 682833; S.J.C. and E.R.); the Leverhulme Trust (P80336; S.J.C. and E.R.); the Engineering and Physical Sciences Research Council Graphene Centre for Doctoral Training (EP/L016087/1; V.M.B.); the Winston Churchill Foundation of the United States (A.M.D.); OMV (A.W. and E.R.); the Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia (Portugal) for fellowship SFRH/BD/100314/2014 (S.Z.), fellowship SFRH/BD/116515/2016 (A.R.O.), grant PTDC/BII-BBF/2050/2020 (I.A.C.P.) and MOSTMICRO-ITQB unit (UIDB/04612/2020 and UIDP/04612/2020); and EU Horizon 2020 R&I programme 810856. We thank E. Edwardes-Moore for useful discussions. UCSF Chimera is developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from NIH p41-GM103311. Funding Information: This work was supported by a European Research Council Consolidator Grant (MatEnSAP, no. 682833; S.J.C. and E.R.); the Leverhulme Trust (P80336; S.J.C. and E.R.); the Engineering and Physical Sciences Research Council Graphene Centre for Doctoral Training (EP/L016087/1; V.M.B.); the Winston Churchill Foundation of the United States (A.M.D.); OMV (A.W. and E.R.); the Fundac?a?o para a Cie?ncia e Tecnologia (Portugal) for fellowship SFRH/BD/100314/2014 (S.Z.), fellowship SFRH/BD/116515/2016 (A.R.O.), grant PTDC/BII-BBF/2050/2020 (I.A.C.P.) and MOSTMICRO-ITQB unit (UIDB/04612/2020 and UIDP/04612/2020); and EU Horizon 2020 R&I programme 810856. We thank E. Edwardes-Moore for useful discussions. UCSF Chimera is developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from NIH p41-GM103311. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive licence to Springer Nature Limited.",
year = "2022",
month = apr,
doi = "10.1038/s41557-021-00880-2",
language = "English",
volume = "14",
pages = "417--424",
journal = "Nature Chemistry",
issn = "1755-4330",
publisher = "Nature Publishing Group",
number = "4",
}