Literature DB >> 32203918

Ultrasound-assisted transformation from waste biomass to efficient carbon-based metal-free pH-universal oxygen reduction reaction electrocatalysts.

Huifen Wang1, Wendu Zhang1, Peiyao Bai1, Lang Xu2.   

Abstract

Efficient carbon-based nitrogen-doped electrocatalysts derived from waste biomass are regarded as a promising alternative to noble metal catalysts for oxygen reduction reaction (ORR), which is crucial to fuel cell performance. Here, coconut palm leaves are employed as the carbon source and a series of nitrogen-doped porous carbons were prepared by virtue of a facile and mild ultrasound-assisted method. The obtained carbon material (ANDC-900-10) conveys excellent pH-universal catalytic activity with onset potentials (Eonset) of 1.01, 0.91 and 0.84 V vs. RHE, half-wave potentials (E1/2) of 0.87, 0.74 and 0.66 V vs. RHE and limiting current densities (JL) of 5.50, 5.45 and 4.97 mA cm-2 in alkaline, neutral and acidic electrolytes, respectively, prevailing over the commercial Pt/C catalyst and, what's more, ANDC-900-10 displays preeminent methanol crossover resistance and long-term stability in the broad pH range (0-13), thanks to its abundant hierarchical nanopores as well as effective nitrogen doping with high-density pyridinic-N and graphitic-N. This work provides sonochemical insight for underpinning the eco-friendly approach to rationally designing versatile metal-free carbon-based catalysts toward the ORR at various pH levels.
Copyright © 2020 Elsevier B.V. All rights reserved.

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Keywords:  Biomass; Electrocatalyst; Oxygen reduction reaction; Ultrasound; pH-universal

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Year:  2020        PMID: 32203918     DOI: 10.1016/j.ultsonch.2020.105048

Source DB:  PubMed          Journal:  Ultrason Sonochem        ISSN: 1350-4177            Impact factor:   7.491


  1 in total

1.  N,S co-doped hierarchical porous carbon from Chinese herbal residues for high-performance supercapacitors and oxygen reduction reaction.

Authors:  Lin Zhang; Qinqin Xu; Xia Wang; Qi Sun; Feng He; Weidong Pan; Haibo Xie
Journal:  RSC Adv       Date:  2020-11-13       Impact factor: 4.036

  1 in total

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