Proton Self-Doped Polyaniline with High Electrochemical Activity for Aqueous Zinc-Ion Batteries

IF 9.1 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Chengjie Yin, Chengling Pan, Yusong Pan, Jinsong Hu, Guozhao Fang
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引用次数: 6

Abstract

Aqueous zinc-ion batteries are promising energy storage devices due to their low cost, good ionic conductivity, and high safety. Conductive polyaniline is a promising cathode because of its redox activity, but because the neutral electrolyte protonates only weakly, it displays limited electrochemical activity. A polyaniline cathode is developed with proton self-doping from manganese metal–organic frameworks (Mn–MOFs) that alleviates the deprotonation and electrochemical activity concerns arising during the charge/discharge process. The MOFs carboxyl group provides protons to prevent deprotonation and allows the polyaniline to reach a high zinc storage redox activity. The proton self-doped polyaniline cathode has a superior specific capacity (273 mAh g−1 at 0.5 A g−1), a high rate property (154 mAh g−1 at 20 A g−1), and excellent cyclability retention (87% over 4000 cycles at 15 A g−1). This research provides fresh insight into the development of innovative polymers as cathode materials for high-performance AZIBs.

Abstract Image

高电化学活性的质子自掺杂聚苯胺水溶液锌离子电池
水锌离子电池具有成本低、离子电导率好、安全性高等优点,是一种很有前途的储能装置。导电聚苯胺因其氧化还原活性而成为一种很有前途的阴极,但由于中性电解质质子化较弱,其电化学活性有限。以锰金属有机骨架(Mn-MOFs)为材料,通过质子自掺杂制备了聚苯胺阴极,减轻了充放电过程中出现的脱质子和电化学活性问题。mof的羧基提供质子以防止去质子化,并使聚苯胺达到较高的储锌氧化还原活性。质子自掺杂聚苯胺阴极具有优异的比容量(在0.5 a g−1时273 mAh g−1)、高倍率(在20 a g−1时154 mAh g−1)和优异的可循环性保持(在15 a g−1下4000次循环87%)。这项研究为高性能azib的创新聚合物正极材料的发展提供了新的见解。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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