DataVXACS Applied Materials & InterfacesPaper
journal article·2022-04-20

Co/Co–N/Co-O Rooted on rGO Hybrid BCN Nanotube Arrays as Efficient Oxygen Electrocatalyst for Zn–Air Batteries

Lei Cao, Yu Wang, Qian Zhu, Lanlan Fan, Yu Wu, Zhenhuan Li, Shixian Xiong, Feng Gu

ACS Applied Materials & Interfaces· Volume 14· Issue 15
Publisher page
Source abstract

Abstract

Developing high-performance non-noble metal bifunctional oxygen reduction and evolution reaction electrocatalysts is a critical factor for the commercialization of rechargeable Zn–air batteries. Herein, Co/Co–N/Co–O rooted on reduced graphene oxide (rGO) hybrid boron and nitrogen codoped carbon (BCN) nanotube arrays (BCN/rGO-Co) is prepared by facile low-temperature precross-linking and high-temperature pyrolysis treatment. Benefit from the synergistic effect of its B/N codoping, Co/Co–N/Co–O bifunctional active sites, 3D hybrid porous structure of BCN nanotubes, and highly conductive rGO sheets. The obtained BCN/rGO-Co exhibits superior bifunctional oxygen catalytic activity with a positive ORR half-wave potential (0.85 V) and a low OER potential (1.61 V) at 10 mA cm–2. Additionally, the BCN/rGO-Co-based liquid Zn–air batteries displays a large peak power density of 157 mW cm–2, and a long charge/discharge cycle stability of 200 h, outdoing the commercial Pt/C+Ru/C catalyst.
Source: openalex_inverted_index · Quality: baseline

Research context

Energy storageNanomaterialsCatalysis & surfaces

OpenAlex topics: Electrocatalysts for Energy Conversion · Advanced battery technologies research · Fuel Cells and Related Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems, International Institute for Innovation, Jiangxi University of Science and Technology, Nanchang 330013, China

State Key Laboratory of Separation Membranes and Membrane Processes/National Center for International Joint Research on Separation Membranes, School of Materials Science and Engineering, Tiangong University, Tianjin 300387, China

Institute for Process Modelling and Optimization, Jiangsu Industrial Technology Research Institute, Suzhou 215123, China

Funding

Natural Science Foundation of Tianjin City · National Natural Science Foundation of China · Natural Science Foundation of Jiangxi Province · Planning Project of Jiangxi Provincial Technological Innovation Guidance · Youth Foundation of Jiangxi Provincial Department of Education · Jiangsu Key R&D Plan

References (44)

Show source-provided references
1. 10.1002/adfm.20180564110.1002/adfm.201805641 ↗
2. 10.1016/j.chempr.2019.02.00810.1016/j.chempr.2019.02.008 ↗
3. 10.1002/adfm.20170336310.1002/adfm.201703363 ↗
4. 10.1039/D0NR00731E10.1039/D0NR00731E ↗
5. 10.1007/s12274-020-3127-810.1007/s12274-020-3127-8 ↗
6. 10.1016/j.cej.2020.12715710.1016/j.cej.2020.127157 ↗
7. 10.1002/adfm.20210738210.1002/adfm.202107382 ↗
8. 10.1021/acscatal.1c0225910.1021/acscatal.1c02259 ↗
9. 10.1016/j.electacta.2018.01.21110.1016/j.electacta.2018.01.211 ↗
10. 10.1016/j.electacta.2019.13511910.1016/j.electacta.2019.135119 ↗
11. 10.1002/adma.20190166610.1002/adma.201901666 ↗
12. 10.1126/science.aau063010.1126/science.aau0630 ↗
13. 10.1016/j.apsusc.2020.14826210.1016/j.apsusc.2020.148262 ↗
14. 10.1021/acsaem.9b0166010.1021/acsaem.9b01660 ↗
15. 10.1016/j.jcis.2019.09.06010.1016/j.jcis.2019.09.060 ↗
16. 10.1016/j.mattod.2020.04.01010.1016/j.mattod.2020.04.010 ↗
17. 10.1039/C6MH00358C10.1039/C6MH00358C ↗
18. 10.1039/c3ee41444b10.1039/c3ee41444b ↗
19. 10.1016/j.jechem.2020.06.05310.1016/j.jechem.2020.06.053 ↗
20. 10.1039/c0nr00002g10.1039/c0nr00002g ↗
21. 10.1021/acscatal.5b0099110.1021/acscatal.5b00991 ↗
22. 10.3389/fenrg.2014.0003310.3389/fenrg.2014.00033 ↗
23. 10.1002/adfm.20190608110.1002/adfm.201906081 ↗
24. 10.1021/acsnano.1c0064710.1021/acsnano.1c00647 ↗
25. 10.1039/C8TA08590K10.1039/C8TA08590K ↗
26. 10.1002/adma.20170087410.1002/adma.201700874 ↗
27. 10.1016/j.apsusc.2017.06.07510.1016/j.apsusc.2017.06.075 ↗
28. 10.1016/j.matlet.2019.03.02810.1016/j.matlet.2019.03.028 ↗
29. 10.1002/smll.20190663410.1002/smll.201906634 ↗
30. 10.1021/acsami.8b1172610.1021/acsami.8b11726 ↗
31. 10.1002/adma.20210042910.1002/adma.202100429 ↗
32. 10.1126/science.aad083210.1126/science.aad0832 ↗
33. 10.1002/anie.20181017510.1002/anie.201810175 ↗
34. 10.1016/j.nanoen.2018.08.00510.1016/j.nanoen.2018.08.005 ↗
35. 10.1021/ja512716510.1021/ja5127165 ↗
36. 10.1039/C6TA00223D10.1039/C6TA00223D ↗
37. 10.1002/chem.20150456810.1002/chem.201504568 ↗
38. 10.1039/C6CS00135A10.1039/C6CS00135A ↗
39. 10.1002/cjce.2363210.1002/cjce.23632 ↗
40. 10.1002/adma.20150619710.1002/adma.201506197 ↗
41. 10.1016/j.jpowsour.2020.22857010.1016/j.jpowsour.2020.228570 ↗
42. 10.1002/adma.20160443710.1002/adma.201604437 ↗
43. 10.1021/acs.nanolett.0c0356510.1021/acs.nanolett.0c03565 ↗
44. 10.1016/j.jallcom.2021.15901510.1016/j.jallcom.2021.159015 ↗