Issue 72, 2017, Issue in Progress

Lignocellulosic biomass-derived, graphene sheet-like porous activated carbon for electrochemical supercapacitor and catechin sensing

Abstract

We synthesize graphene sheet-like porous activated carbon (GPAC) with a high specific surface area by using Bougainvillea spectabilis as a precursor with the assistance of a facile and reliable chemical activation method. The as-synthesized GPAC materials were characterized with a variety of physico-chemical and analytical techniques to investigate their structural and porous properties. In addition, we apply the synthesized GPAC as an electrode material for supercapacitor and catechin sensing, and corresponding electrochemical studies were carried out using cyclic voltammetry, galvanostatic charge–discharge and differential pulse voltammetry. For supercapacitor application, the GPAC exhibits a specific capacitance of 233 F g−1 (at a current density of 1.6 A g−1) and an energy density of 7.2 W h kg−1 (for a symmetric cell). For the sensing application, the GPAC exhibits sensitive detection of catechin (CA). We achieved good sensitivity, an extensive linear range, and a low limit of detection for the CA sensor, with values of 7.2 μA μM−1 cm−2, 4–368 μM, and 0.67 μM, respectively. We further test the GPAC sensor in green tea leaves for real time CA detection. This work demonstrates the successful conversion of waste biomass to useful electrochemical devices.

Graphical abstract: Lignocellulosic biomass-derived, graphene sheet-like porous activated carbon for electrochemical supercapacitor and catechin sensing

Supplementary files

Article information

Article type
Paper
Submitted
16 Jul 2017
Accepted
30 Aug 2017
First published
25 Sep 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 45668-45675

Lignocellulosic biomass-derived, graphene sheet-like porous activated carbon for electrochemical supercapacitor and catechin sensing

V. Veeramani, M. Sivakumar, S. Chen, R. Madhu, H. R. Alamri, Z. A. Alothman, Md. S. A. Hossain, C. Chen, Y. Yamauchi, N. Miyamoto and K. C.-W. Wu, RSC Adv., 2017, 7, 45668 DOI: 10.1039/C7RA07810B

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements