Issue 41, 2016, Issue in Progress

A new strategy to tailor the structure of sustainable 3D hierarchical porous N-self-doped carbons from renewable biomass for high-performance supercapacitors and CO2 capture

Abstract

Hierarchical porous N-doped carbons show great potential applications in energy storage and CO2 capture. Renewable biomass chitosan, which is abundant and simultaneously contains large amounts of N and C, is an ideal alternative to fossil resources for sustainable and scale-up production of cost-effective N-self-doped carbons. In this work, we employed a new and effective strategy to obtain 3D hierarchical porous N-self-doped carbons from chitosan. The hierarchical porous structure of the N-self-doped carbons could be easily tailored to obtain nanorod interconnected and fiber-wall interconnected architectures without using any porogen, catalyst or activator. The nanorod interconnected porous carbon displayed a high specific surface area of 1408 m2 g−1 while the fiber-wall interconnected porous carbon exhibited an excellent specific capacitance of 261 F g−1 (0.5 A g−1) due to the desirable hierarchical framework. In addition, these hierarchical porous carbons had a good CO2 capture performance (3.07–3.44 mmol g−1 at 25 °C). This unique method is supposed to be a new strategy to create novel 3D hierarchical porous carbons for promising applications in supercapacitors, lithium ion batteries, fuel cells and sorbents.

Graphical abstract: A new strategy to tailor the structure of sustainable 3D hierarchical porous N-self-doped carbons from renewable biomass for high-performance supercapacitors and CO2 capture

Supplementary files

Article information

Article type
Paper
Submitted
19 Jan 2016
Accepted
08 Mar 2016
First published
31 Mar 2016

RSC Adv., 2016,6, 34261-34270

Author version available

A new strategy to tailor the structure of sustainable 3D hierarchical porous N-self-doped carbons from renewable biomass for high-performance supercapacitors and CO2 capture

X. Tong, H. Zhuo, S. Wang, L. Zhong, Y. Hu, X. Peng, W. Zhou and R. Sun, RSC Adv., 2016, 6, 34261 DOI: 10.1039/C6RA01565D

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