Synthesis of the novel binary composite of self-suspended polyaniline (S-PANI) and functionalized multi-walled carbon nanotubes for high-performance supercapacitors
- Authors
- Akbar, Abdul Rehman; Wu, Jinxing; Tahir, Muhammad; Hu, Huihui; Yu, Chen; Qadir, Muhammad Bilal; Mateen, Fahad; Xiong, Chuanxi; Yang, Quanling
- Issue Date
- Apr-2021
- Publisher
- SPRINGER HEIDELBERG
- Keywords
- Optimized binary composite; Multi-walled carbon nanotubes; Solvent-free polyaniline (S-PANI); Supercapacitor; Electrochemical characteristics
- Citation
- IONICS, v.27, no.4, pp 1743 - 1755
- Pages
- 13
- Indexed
- SCIE
SCOPUS
- Journal Title
- IONICS
- Volume
- 27
- Number
- 4
- Start Page
- 1743
- End Page
- 1755
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/5170
- DOI
- 10.1007/s11581-021-03917-1
- ISSN
- 0947-7047
1862-0760
- Abstract
- To push the upper limit of capacitive materials, the integration of multi-modal capacitive materials has emerged as a potential solution. In this regard, we reported the novel binary composite of self-suspended polyaniline (S-PANI) and multi-walled carbon nanotubes (MWNTs). Compared with conventional polyaniline, S-PANI offers higher porosity and fibrillar polymeric network, which was achieved by doping long-chain protonic acid during in situ polymerization. S-PANI was loaded on oxidized carbon nanotubes (OCNTs) and sulfonated carbon nanotubes (SCNTs) to prepare S-PANI/OCNT and S-PANI/SCNT composite electrodes, respectively. The conductive and exclusive fibrillar S-PANI provide unobstructed channels for charge transport and electrolyte infiltration. Preliminary electrochemical studies revealed that the capacitance of the composite electrode reached 316.8 F g(-1) and 345.4 F g(-1), and established exceptional capacitance retention rates of 92.8% and 93.7% after 5000 cycles for S-PANI/OCNT and S-PANI/SCNT composite, respectively, making it a potential candidate for imminent energy storage devices.
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Collections - College of Engineering > Department of Chemical and Biochemical Engineering > 1. Journal Articles

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