Literature DB >> 21913710

Enhanced electrocatalytic reduction of CO2 with ternary Ni-Fe4S4 and Co-Fe4S4-based biomimetic chalcogels.

Benjamin D Yuhas1, Chaiya Prasittichai, Joseph T Hupp, Mercouri G Kanatzidis.   

Abstract

Enzymes that catalytically transform small molecules such as CO, formate, or protons are naturally composed of transition metal cluster units bound into a larger superstructure. Artificial biomimetic catalysts are often modeled after the active sites but are typically molecular in nature. We present here a series of fully integrated porous materials containing Fe(4)S(4) clusters, dubbed "biomimetic chalcogels". We examine the effect of third metal cations on the electrochemical and electrocatalytic properties of the chalcogels. We find that ternary biomimetic chalcogels containing Ni or Co show increased effectiveness in transformations of carbon dioxide and can be thought of as solid-state analogues of NiFe or NiFeS reaction centers in enzymes.

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Year:  2011        PMID: 21913710     DOI: 10.1021/ja205981v

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  3 in total

1.  Nitrogenase-mimic iron-containing chalcogels for photochemical reduction of dinitrogen to ammonia.

Authors:  Jian Liu; Matthew S Kelley; Weiqiang Wu; Abhishek Banerjee; Alexios P Douvalis; Jinsong Wu; Yongbo Zhang; George C Schatz; Mercouri G Kanatzidis
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-02       Impact factor: 11.205

2.  Bio-inspired cofacial Fe porphyrin dimers for efficient electrocatalytic CO2 to CO conversion: Overpotential tuning by substituents at the porphyrin rings.

Authors:  Zaki N Zahran; Eman A Mohamed; Yoshinori Naruta
Journal:  Sci Rep       Date:  2016-04-18       Impact factor: 4.379

Review 3.  Progress and Perspective of Electrocatalytic CO2 Reduction for Renewable Carbonaceous Fuels and Chemicals.

Authors:  Wenjun Zhang; Yi Hu; Lianbo Ma; Guoyin Zhu; Yanrong Wang; Xiaolan Xue; Renpeng Chen; Songyuan Yang; Zhong Jin
Journal:  Adv Sci (Weinh)       Date:  2017-09-29       Impact factor: 16.806

  3 in total

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