Literature DB >> 24895095

[NiFe]Hydrogenase from Citrobacter sp. S-77 surpasses platinum as an electrode for H2 oxidation reaction.

Takahiro Matsumoto1, Shigenobu Eguchi, Hidetaka Nakai, Takashi Hibino, Ki-Seok Yoon, Seiji Ogo.   

Abstract

Reported herein is an electrode for dihydrogen (H2) oxidation, and it is based on [NiFe]Hydrogenase from Citrobacter sp. S-77 ([NiFe]S77). It has a 637 times higher mass activity than Pt (calculated based on 1 mg of [NiFe]S77 or Pt) at 50 mV in a hydrogen half-cell. The [NiFe]S77 electrode is also stable in air and, unlike Pt, can be recovered 100 % after poisoning by carbon monoxide. Following characterization of the [NiFe]S77 electrode, a fuel cell comprising a [NiFe]S77 anode and Pt cathode was constructed and shown to have a a higher power density than that achievable by Pt.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  anode; enzymes; fuel cells; hydrogen; nickel

Mesh:

Substances:

Year:  2014        PMID: 24895095     DOI: 10.1002/anie.201404701

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  4 in total

1.  Improved purification, crystallization and crystallographic study of Hyd-2-type [NiFe]-hydrogenase from Citrobacter sp. S-77.

Authors:  Noor Dina Muhd Noor; Koji Nishikawa; Hirofumi Nishihara; Ki Seok Yoon; Seiji Ogo; Yoshiki Higuchi
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2016-01-01       Impact factor: 1.056

2.  Frequency and potential dependence of reversible electrocatalytic hydrogen interconversion by [FeFe]-hydrogenases.

Authors:  Kavita Pandey; Shams T A Islam; Thomas Happe; Fraser A Armstrong
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-27       Impact factor: 11.205

Review 3.  Carbon-Based Nanomaterials in Biomass-Based Fuel-Fed Fuel Cells.

Authors:  Le Quynh Hoa; Mun'delanji C Vestergaard; Eiichi Tamiya
Journal:  Sensors (Basel)       Date:  2017-11-10       Impact factor: 3.576

4.  Hup-Type Hydrogenases of Purple Bacteria: Homology Modeling and Computational Assessment of Biotechnological Potential.

Authors:  Azat Vadimovich Abdullatypov
Journal:  Int J Mol Sci       Date:  2020-01-06       Impact factor: 5.923

  4 in total

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