A preliminary oxidation-assisted derivation strategy for biomass to N,O co-doped carbon used in multifunctional capacitor applications

Abstract

Biomass is an ideal carbon source for preparing high-performance carbon materials due to its sustainability and affordability. However, the recalcitrance of lignin in some biomass resources can hinder activation and heteroatom doping during carbonization. Herein, we have explored a convenient strategy that employs NaOH and H2O2 to remove most of the lignin and simultaneously activate the remaining biomass components. This pretreatment facilitates the production of porous N and O co-doped carbon materials with enhanced surface area and oxygen content, offering more active sites and improved pseudocapacitive behavior. The optimized N,O-RSC-10 electrode exhibits an impressive specific capacitance of 287 F g−1 at 0.5 A g−1, retaining 60.2% of its initial capacitance under a high current load of 50 A g−1. When applied in zinc-ion hybrid capacitors, the N,O-RSC-10 electrode achieves a high capacity of 207 mA h g−1 at 0.1 A g−1 and exceptional cyclability, maintaining 88% capacity after a 25 000-cycle analysis at 2 A g−1. This excellent capacity is due to the synergistic effect of H+ ion insertion/extraction within N,O-RSCs and the reversible formation/decomposition of Zn4SO4(OH)6·5H2O. This study offers an efficient approach for the activation of biomass and production of a porous heteroatom-doped carbon matrix for promising energy storage.

Graphical abstract: A preliminary oxidation-assisted derivation strategy for biomass to N,O co-doped carbon used in multifunctional capacitor applications

Supplementary files

Article information

Article type
Paper
Submitted
18 Mar 2026
Accepted
29 May 2026
First published
05 Jun 2026

Nanoscale, 2026, Advance Article

A preliminary oxidation-assisted derivation strategy for biomass to N,O co-doped carbon used in multifunctional capacitor applications

X. Zhang, R. Zhai, X. Jin, S. He, H. Li, Y. Chen, L. Wei, X. Yang, S. Li, Y. L. Meng, J. Mao and L. Song, Nanoscale, 2026, Advance Article , DOI: 10.1039/D6NR01076H

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