Recent Advances in Electrocatalytic Two-Electron Water Oxidation for Green H2O2 Production

生产(经济) 分解水 化学 催化作用 生物化学 经济 光催化 宏观经济学
作者
Liu Lin,Z. Sun,Huatian Chen,Zhao Lian,Mingyue Sun,Yitao Yang,Zhensheng Liao -,Xinyu Wu,Xinxin Li,Cheng Tang
出处
期刊:Acta Physico-chimica Sinica [Peking University Press]
卷期号:40 (4): 2305019-2305019 被引量:25
标识
DOI:10.3866/pku.whxb202305019
摘要

Abstract: Hydrogen peroxide (H2O2) is an environmentally friendly oxidant that has been widely used in water treatment, medical disinfection, chemical synthesis, and other industrial applications. However, traditional methods used to produce H2O2 consume significant amounts of energy and generate hazardous by-products, which limit their scope. On-site and on-demand electrocatalytic two-electron water oxidation chemistry is an attractive option for directly producing H2O2 from water; it also avoids the hazardous anthraquinone method, has fewer transportation costs and risks, and is integratable with renewable electricity. Despite these advantages, the two-electron water oxidation reaction (2e– WOR) still suffers from poor selectivity and activity due to a lack of mechanistic, material-design, and reactor-engineering understanding. This study summarizes recent advances in H2O2 electrosynthesis technology using the 2e– WOR. The catalytic 2e– WOR mechanism is first introduced with a focus on selectivity, activity, and stability. This reaction involves the electrocatalytic oxidation of water to produce H2O2, which can be further oxidized to O2. Selectivity is influenced by a variety of factors, including the electrocatalyst, pH, and electrolyte. Various quantitative H2O2 methods are discussed along with in situ characterization studies into the 2e– WOR aimed at better understanding the reaction process. Such methods include in situ Fourier-transform infrared spectroscopy and in situ Raman spectroscopy. Researchers are able to identify reaction intermediates and understand reaction mechanisms better using these techniques, thereby providing guidance for the design of more efficient electrocatalysts. In turn, various strategies for preparing high-performance electrocatalysts are summarized, including defect, doping, facet, and interfacial engineering methods. Mechanism-guided multiscale materials engineering can improve the activities and selectivities of electrocatalysts, thereby increasing H2O2 yields. In addition, device-level engineering, especially in relation to reactor and system innovations, is emphasized, which is important for improving reaction efficiency and reducing the cost of the 2e– WOR. Finally, current challenges and future opportunities in the 2e– WOR H2O2 electrosynthesis field are discussed. More effort directed at improving reaction selectivity, activity, and durability is required, along with exploring suitable application scenarios. The 2e– WOR is expected to become a more sustainable and efficient method for producing H2O2 facilitated by continuing progress in the materials science and electrochemical technology fields.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
共享精神应助weiv采纳,获得10
1秒前
森森完成签到,获得积分10
1秒前
1秒前
李健的粉丝团团长应助sia采纳,获得10
1秒前
2秒前
解洙完成签到 ,获得积分10
3秒前
自信的初蓝完成签到,获得积分10
3秒前
gaozy完成签到 ,获得积分10
4秒前
爱上百香果完成签到,获得积分10
4秒前
4秒前
所所应助香蕉觅松采纳,获得10
5秒前
5秒前
5秒前
xixi完成签到 ,获得积分10
5秒前
赘婿应助兴奋烤鸡采纳,获得10
5秒前
bzdde发布了新的文献求助10
5秒前
6秒前
126完成签到,获得积分10
6秒前
6秒前
RANCAO完成签到,获得积分10
7秒前
颜庸发布了新的文献求助10
7秒前
11111111发布了新的文献求助10
8秒前
linger发布了新的文献求助10
9秒前
科目三应助行歌采纳,获得10
9秒前
Akim应助风趣的惜灵采纳,获得10
9秒前
9秒前
ranks完成签到,获得积分10
9秒前
水123发布了新的文献求助10
9秒前
面包糠完成签到 ,获得积分10
9秒前
dio发布了新的文献求助10
9秒前
9秒前
fangwang发布了新的文献求助10
9秒前
肉肉发布了新的文献求助10
10秒前
小马甲应助grisco采纳,获得10
10秒前
10秒前
10秒前
11秒前
吃辣条的咸鱼完成签到,获得积分10
11秒前
Hello应助要减肥的断缘采纳,获得10
11秒前
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7255238
求助须知:如何正确求助?哪些是违规求助? 8877195
关于积分的说明 18745767
捐赠科研通 6935625
什么是DOI,文献DOI怎么找? 3200332
关于科研通互助平台的介绍 2374891
邀请新用户注册赠送积分活动 2175395