4.7 Article

CoNi nanoalloys embedded in N-doped carbon nanofibers derived from layered bimetal-organic framework and as efficient oxygen electrocatalyst

Journal

JOURNAL OF ALLOYS AND COMPOUNDS
Volume 888, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.jallcom.2021.161588

Keywords

Carbon fibers; Electrospinning; CoNi nanoalloys; Oxygen evolution reaction; Oxygen reduction reaction; Zn-air battery

Funding

  1. National Natural Science Foundation of China [52062003]

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Developing efficient and low-cost bifunctional catalysts for the oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) is crucial for establishing renewable energy systems. A bifunctional oxygen electrocatalyst derived from a bimetal-organic framework has been proposed and demonstrated excellent catalytic performance in both OER and ORR.
Developing efficient and low-cost bifunctional catalysts towards oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) is a significant scientific issue in establishing renewable energy systems. Herein, we propose a bifunctional oxygen electrocatalyst derived from a bimetal-organic framework. Two-dimensional (2-D) CoNi-BDC (BDC = benzenedicarboxylic acid) was synthesized via an bottom-up approach (improved inter-diffusion route). Lamellar CoNi nanoalloys embedded in N-doped carbon nanofibers (CoNi-N-CNFs) were obtained by electrospinning CoNi-BDC and dicyandiamide (DCD) into a polyacrylonitrile (PAN) polymer and subsequent post-calcination treatment. By taking advantage of the synergetic interac-tions between CoNi nanoalloys and N-doped carbon, the as-synthesized CoNi-N-CNFs catalysts exhibited outstanding catalytic performance with respect to the OER and ORR. CoNi-N-CNFs-60 exhibited a low overpotential of 229 mV at 10 mA cm(-2) and a half-wave potential of 0.823 V in 1 M KOH, making it a promising candidate as an efficient air electrode in Zn-air battery. The hierarchical 1-D/2-D composite structure and porous morphology play a key role in improving electrocatalytic performance by exposing a greater number of active CoNi-N sites. (C) 2021 Elsevier B.V. All rights reserved.

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