通过定制调节提高镍-铁电极的氧气进化反应性能

IF 3.5 4区 化学 Q2 ELECTROCHEMISTRY
Clara Gohlke, Julia Gallenberger, Nico Niederprüm, Hannah Ingendae, Johann Kautz, Jan P. Hofmann, Anna K. Mechler
{"title":"通过定制调节提高镍-铁电极的氧气进化反应性能","authors":"Clara Gohlke,&nbsp;Julia Gallenberger,&nbsp;Nico Niederprüm,&nbsp;Hannah Ingendae,&nbsp;Johann Kautz,&nbsp;Jan P. Hofmann,&nbsp;Anna K. Mechler","doi":"10.1002/celc.202400318","DOIUrl":null,"url":null,"abstract":"<p>To meet the rising demand for green hydrogen, efficient alkaline water electrolysis demands highly active and low-cost electrocatalysts for the oxygen evolution reaction (OER). We address this issue by focusing our work on optimizing the conditioning of promising Ni-(Fe)-based electrodes to improve their electrocatalytic performances. Systematic parameter variation for cyclic voltammetry conditioning revealed that a large potential window, low scan rate, and a high number of cycles result in improved activation. If the conditioning time is fixed, a high scan rate was found beneficial. A remarkable 47±6 mV potential drop at 10 mA cm<sup>−2</sup> was achieved for Ni<sub>70</sub>Fe<sub>30</sub> when conditioning between −0.35–1.6 V at 100 mV s<sup>−1</sup> for just 30 min. We could demonstrate that this activation persisted over 100 h at 100 mA cm<sup>−2</sup>, underscoring its enduring efficacy. We suggest that this activation effect results from the growth of a hydrous hydroxide layer, which is supported by energy dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy. Fe incorporation or dissolution played only a minor role in the differences in electrode activation, as demonstrated by variation of the Fe content in the electrolyte. Our work stresses the importance of conditioning in enhancing OER performance and explores how to improve the catalysts′ effectiveness by tailoring oxides.</p>","PeriodicalId":142,"journal":{"name":"ChemElectroChem","volume":"11 18","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/celc.202400318","citationCount":"0","resultStr":"{\"title\":\"Boosting the Oxygen Evolution Reaction Performance of Ni-Fe-Electrodes by Tailored Conditioning\",\"authors\":\"Clara Gohlke,&nbsp;Julia Gallenberger,&nbsp;Nico Niederprüm,&nbsp;Hannah Ingendae,&nbsp;Johann Kautz,&nbsp;Jan P. Hofmann,&nbsp;Anna K. Mechler\",\"doi\":\"10.1002/celc.202400318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>To meet the rising demand for green hydrogen, efficient alkaline water electrolysis demands highly active and low-cost electrocatalysts for the oxygen evolution reaction (OER). We address this issue by focusing our work on optimizing the conditioning of promising Ni-(Fe)-based electrodes to improve their electrocatalytic performances. Systematic parameter variation for cyclic voltammetry conditioning revealed that a large potential window, low scan rate, and a high number of cycles result in improved activation. If the conditioning time is fixed, a high scan rate was found beneficial. A remarkable 47±6 mV potential drop at 10 mA cm<sup>−2</sup> was achieved for Ni<sub>70</sub>Fe<sub>30</sub> when conditioning between −0.35–1.6 V at 100 mV s<sup>−1</sup> for just 30 min. We could demonstrate that this activation persisted over 100 h at 100 mA cm<sup>−2</sup>, underscoring its enduring efficacy. We suggest that this activation effect results from the growth of a hydrous hydroxide layer, which is supported by energy dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy. Fe incorporation or dissolution played only a minor role in the differences in electrode activation, as demonstrated by variation of the Fe content in the electrolyte. Our work stresses the importance of conditioning in enhancing OER performance and explores how to improve the catalysts′ effectiveness by tailoring oxides.</p>\",\"PeriodicalId\":142,\"journal\":{\"name\":\"ChemElectroChem\",\"volume\":\"11 18\",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/celc.202400318\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ChemElectroChem\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/celc.202400318\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ELECTROCHEMISTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ChemElectroChem","FirstCategoryId":"92","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/celc.202400318","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ELECTROCHEMISTRY","Score":null,"Total":0}
引用次数: 0

摘要

为了满足对绿色氢气日益增长的需求,高效碱性水电解需要高活性、低成本的氧进化反应(OER)电催化剂。针对这一问题,我们的工作重点是优化有前景的镍(铁)基电极的调节,以提高其电催化性能。循环伏安法调节的系统参数变化表明,大电位窗口、低扫描速率和高循环次数可提高活化效果。如果调节时间固定,则高扫描速率对其有利。当以 100 mV s-1 的速度在-0.35-1.6 V 之间调节 30 分钟时,Ni70Fe30 在 10 mA cm-2 的条件下实现了 47±6 mV 的显著电位下降。我们可以证明,在 100 mA cm-2 的条件下,这种活化作用可以持续 100 小时,这突出表明了它的持久功效。能量色散 X 射线光谱和 X 射线光电子能谱证实了这一点。电解液中铁含量的变化表明,铁的加入或溶解在电极活化的差异中只起了很小的作用。我们的工作强调了调节对提高 OER 性能的重要性,并探讨了如何通过定制氧化物来提高催化剂的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Boosting the Oxygen Evolution Reaction Performance of Ni-Fe-Electrodes by Tailored Conditioning

Boosting the Oxygen Evolution Reaction Performance of Ni-Fe-Electrodes by Tailored Conditioning

Boosting the Oxygen Evolution Reaction Performance of Ni-Fe-Electrodes by Tailored Conditioning

To meet the rising demand for green hydrogen, efficient alkaline water electrolysis demands highly active and low-cost electrocatalysts for the oxygen evolution reaction (OER). We address this issue by focusing our work on optimizing the conditioning of promising Ni-(Fe)-based electrodes to improve their electrocatalytic performances. Systematic parameter variation for cyclic voltammetry conditioning revealed that a large potential window, low scan rate, and a high number of cycles result in improved activation. If the conditioning time is fixed, a high scan rate was found beneficial. A remarkable 47±6 mV potential drop at 10 mA cm−2 was achieved for Ni70Fe30 when conditioning between −0.35–1.6 V at 100 mV s−1 for just 30 min. We could demonstrate that this activation persisted over 100 h at 100 mA cm−2, underscoring its enduring efficacy. We suggest that this activation effect results from the growth of a hydrous hydroxide layer, which is supported by energy dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy. Fe incorporation or dissolution played only a minor role in the differences in electrode activation, as demonstrated by variation of the Fe content in the electrolyte. Our work stresses the importance of conditioning in enhancing OER performance and explores how to improve the catalysts′ effectiveness by tailoring oxides.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
ChemElectroChem
ChemElectroChem ELECTROCHEMISTRY-
CiteScore
7.90
自引率
2.50%
发文量
515
审稿时长
1.2 months
期刊介绍: ChemElectroChem is aimed to become a top-ranking electrochemistry journal for primary research papers and critical secondary information from authors across the world. The journal covers the entire scope of pure and applied electrochemistry, the latter encompassing (among others) energy applications, electrochemistry at interfaces (including surfaces), photoelectrochemistry and bioelectrochemistry.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信