Zeolite-FAU-templated N-Carbons for Oxygen Reduction Reaction.
Palavras-chave:
Zeolite Templated Carbons, Faujasite, Nitrogen functionalization, Oxygen reduction reactions, GrapheneResumo
Zeolite-templated carbons (ZTCs) doped with carbon (C-ZTC) and carbon/nitrogen (CN-ZTC) were synthesized using ethylene and acetonitrile as respective precursors. These materials were comprehensively characterized through nitrogen adsorption at 77 K, scanning electron microscopy (SEM), X-ray diffraction (XRD), thermogravimetric analysis (TGA), Raman spectroscopy, and X-ray photoelectron spectroscopy (XPS). The CN-ZTC exhibited a notably high nitrogen incorporation (C/N ratio of 12.5) and a less condensed carbon framework compared to its nitrogen-free counterpart. A decreased micropore volume in CN-ZTC was attributed to the presence of graphene-like carbon domains formed on the outer surface of the ZTC, which enhanced its electronic conductivity. Catalysts derived from CN-ZTC demonstrated exceptional oxygen reduction reaction (ORR) performance, with a half-wave potential of 0.81 V versus RHE and pronounced selectivity toward hydroxyl formation.
Referências
1. H. Nishihara, T. Kyotani, Zeolite-templated carbons – three-dimensional microporous graphene frameworks, Chem. Commun. 54 (2018) 5648–5673.
2. T. Aumond, M. Esteves, Y. Pouilloux, R. Faccio, A. Sachse, Impact of the crystal size of beta zeolite on the structural quality of Zeolite Templated Carbons, Microporous Mesoporous Mater. 331 (2022), 111644.
3. X. Tong, X. Zhan, D. Rawach, Z. Chen, G. Zhang, S. Sun, Low-dimensional catalysts for oxygen reduction reaction, Prog. Nat. Sci. Mater. Int. 30 (2020) 787–795.
4. L.M. Rivera, G. García, E. Pastor, Novel graphene materials for the oxygen reduction reaction, Curr. Opin. Electrochem. 9 (2018) 233–239.
5. J. Quílez-Bermejo, M. Melle-Franco, E. San-Fabi´an, E. Morall´on, D. Cazorla- Amor´os, Towards understanding the active sites for the ORR in N-doped carbon materials through fine-tuning of nitrogen functionalities: an experimental and computational approach, J. Mater. Chem. A 7 (2019) 24239–24250.
