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      Active sites of copper-complex catalytic materials for electrochemical carbon dioxide reduction

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          Abstract

          Restructuring-induced catalytic activity is an intriguing phenomenon of fundamental importance to rational design of high-performance catalyst materials. We study three copper-complex materials for electrocatalytic carbon dioxide reduction. Among them, the copper(II) phthalocyanine exhibits by far the highest activity for yielding methane with a Faradaic efficiency of 66% and a partial current density of 13 mA cm −2 at the potential of – 1.06 V versus the reversible hydrogen electrode. Utilizing in-situ and operando X-ray absorption spectroscopy, we find that under the working conditions copper(II) phthalocyanine undergoes reversible structural and oxidation state changes to form ~ 2 nm metallic copper clusters, which catalyzes the carbon dioxide-to-methane conversion. Density functional calculations rationalize the restructuring behavior and attribute the reversibility to the strong divalent metal ion–ligand coordination in the copper(II) phthalocyanine molecular structure and the small size of the generated copper clusters under the reaction conditions.

          Abstract

          The catalytic conversion of carbon dioxide into value-added products requires an understanding of the active species present under working conditions. Here, the authors discover copper-containing complexes to reversibly transform during electrocatalysis into methane-producing copper nanoclusters.

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          Most cited references52

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          Particle size effects in the catalytic electroreduction of CO₂ on Cu nanoparticles.

          A study of particle size effects during the catalytic CO2 electroreduction on size-controlled Cu nanoparticles (NPs) is presented. Cu NP catalysts in the 2-15 nm mean size range were prepared, and their catalytic activity and selectivity during CO2 electroreduction were analyzed and compared to a bulk Cu electrode. A dramatic increase in the catalytic activity and selectivity for H2 and CO was observed with decreasing Cu particle size, in particular, for NPs below 5 nm. Hydrocarbon (methane and ethylene) selectivity was increasingly suppressed for nanoscale Cu surfaces. The size dependence of the surface atomic coordination of model spherical Cu particles was used to rationalize the experimental results. Changes in the population of low-coordinated surface sites and their stronger chemisorption were linked to surging H2 and CO selectivities, higher catalytic activity, and smaller hydrocarbon selectivity. The presented activity-selectivity-size relations provide novel insights in the CO2 electroreduction reaction on nanoscale surfaces. Our smallest nanoparticles (~2 nm) enter the ab initio computationally accessible size regime, and therefore, the results obtained lend themselves well to density functional theory (DFT) evaluation and reaction mechanism verification.
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            Metal–Organic Frameworks for Electrocatalytic Reduction of Carbon Dioxide

            A key challenge in the field of electrochemical carbon dioxide reduction is the design of catalytic materials featuring high product selectivity, stability, and a composition of earth-abundant elements. In this work, we introduce thin films of nanosized metal-organic frameworks (MOFs) as atomically defined and nanoscopic materials that function as catalysts for the efficient and selective reduction of carbon dioxide to carbon monoxide in aqueous electrolytes. Detailed examination of a cobalt-porphyrin MOF, Al2(OH)2TCPP-Co (TCPP-H2 = 4,4',4″,4‴-(porphyrin-5,10,15,20-tetrayl)tetrabenzoate) revealed a selectivity for CO production in excess of 76% and stability over 7 h with a per-site turnover number (TON) of 1400. In situ spectroelectrochemical measurements provided insights into the cobalt oxidation state during the course of reaction and showed that the majority of catalytic centers in this MOF are redox-accessible where Co(II) is reduced to Co(I) during catalysis.
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              Tailoring Copper Nanocrystals towards C2Products in Electrochemical CO2Reduction

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                Author and article information

                Contributors
                liangyy@sustc.edu.cn
                zhenxing.feng@oregonstate.edu
                hailiang.wang@yale.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                29 January 2018
                29 January 2018
                2018
                : 9
                : 415
                Affiliations
                [1 ]GRID grid.263817.9, Department of Materials Science and Engineering, , South University of Science and Technology of China, ; Shenzhen, 518055 China
                [2 ]ISNI 0000000419368710, GRID grid.47100.32, Department of Chemistry, , Yale University, ; New Haven, CT 06511 USA
                [3 ]ISNI 0000000419368710, GRID grid.47100.32, Energy Sciences Institute, , Yale University, ; West Haven, CT 06516 USA
                [4 ]ISNI 0000 0001 2112 1969, GRID grid.4391.f, School of Chemical, Biological, and Environmental Engineering, , Oregon State University, ; Corvallis, OR 97331 USA
                [5 ]ISNI 0000 0001 2323 5732, GRID grid.39436.3b, Department of Chemistry, Science Colleges, , Shanghai University, ; Shanghai, 200444 China
                [6 ]ISNI 0000 0001 0266 8918, GRID grid.412017.1, School of Chemistry and Chemical Engineering, , University of South China, ; Hengyang, Hunan 421001 China
                [7 ]ISNI 0000 0001 2299 3507, GRID grid.16753.36, DND-CAT, Synchrotron Research Center, , Northwestern University, ; Evanston, IL 60208 USA
                Author information
                http://orcid.org/0000-0002-6005-9552
                http://orcid.org/0000-0003-4409-2034
                Article
                2819
                10.1038/s41467-018-02819-7
                5788987
                a8f3a062-0f43-407e-b541-c645caf2a5fe
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 October 2017
                : 2 January 2018
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