Unlocking the Potential of Nanobubbles: Achieving Exceptional Gas Efficiency in Electrogeneration of Hydrogen Peroxide

过氧化氢 电化学 曝气 氧气 产量(工程) 化学工程 化学 材料科学 电极 有机化学 冶金 工程类 物理化学
作者
André L. Magdaleno,Gabriel Antonio Cerrón-Calle,Alexsandro J. dos Santos,Marcos R.V. Lanza,Onur G. Apul,Sergi Garcia‐Segura
出处
期刊:Small [Wiley]
卷期号:20 (3) 被引量:5
标识
DOI:10.1002/smll.202304547
摘要

Abstract The electrogeneration of hydrogen peroxide (H 2 O 2 ) via the oxygen reduction reaction is a crucial process for advanced water treatment technologies. While significant effort is being devoted to developing highly reactive materials, gas provision systems used in these processes are receiving less attention. Here, using oxygen nanobubbles to improve the gas efficiency of the electrogeneration of H 2 O 2 is proposed. Aeration with nanobubbles is compared to aeration with macrobubbles under an identical experimental set‐up, with nanobubbles showing a much higher gas–liquid volumetric mass transfer coefficient ( K L a ) of 2.6 × 10 −2 min −1 compared to 2.7 × 10 −4 min −1 for macrobubbles. Consequently, nanobubbles exhibit a much higher gas efficiency using 60% of O 2 delivered to the system compared to 0.19% for macrobubbles. Further, it is observed that the electrogeneration of H 2 O 2 using carbon felt electrodes is enhanced using nanobubbles. Under the same dissolved oxygen levels, nanobubbles boost the reaction yield to 84%, while macrobubbles yield only 53.8%. To the authors’ knowledge, this is the first study to investigate the use of nanobubbles in electrochemical reactions and demonstrate their ability to enhance gas efficiency and electrocatalytic response. These findings have important implications for developing more efficient chemical and electrochemical processes operating under gas‐starving systems.
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
华仔应助科研通管家采纳,获得10
1秒前
英俊的铭应助科研通管家采纳,获得10
1秒前
SciGPT应助科研通管家采纳,获得10
1秒前
ivy应助科研通管家采纳,获得10
2秒前
pluto应助科研通管家采纳,获得10
2秒前
喵酱完成签到,获得积分10
2秒前
2秒前
搜集达人应助科研通管家采纳,获得10
2秒前
科研通AI5应助科研通管家采纳,获得30
2秒前
敬老院N号应助科研通管家采纳,获得30
2秒前
Hello应助科研通管家采纳,获得10
2秒前
2秒前
Ava应助科研通管家采纳,获得30
2秒前
淡定的思松应助ww采纳,获得10
2秒前
cxh发布了新的文献求助10
3秒前
3秒前
winstar完成签到,获得积分10
3秒前
Amai发布了新的文献求助20
4秒前
langzi发布了新的文献求助10
4秒前
ZH的天方夜谭完成签到,获得积分20
4秒前
酷波er应助Rrr采纳,获得10
4秒前
Rhodomyrtus关注了科研通微信公众号
4秒前
wei完成签到,获得积分10
5秒前
5秒前
Qinruirui完成签到,获得积分10
5秒前
Owen应助xia采纳,获得10
5秒前
ddy完成签到,获得积分10
6秒前
zmy发布了新的文献求助10
6秒前
鳗鱼厉发布了新的文献求助10
6秒前
孤存完成签到 ,获得积分10
6秒前
zho关闭了zho文献求助
6秒前
7秒前
9秒前
aaashirz_完成签到,获得积分10
9秒前
科研通AI2S应助风中寄云采纳,获得10
9秒前
coffeecup1完成签到,获得积分10
11秒前
萌萌许完成签到,获得积分10
11秒前
11秒前
斯文鸡完成签到,获得积分10
12秒前
萌萌完成签到,获得积分10
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527884
求助须知:如何正确求助?哪些是违规求助? 3108006
关于积分的说明 9287444
捐赠科研通 2805757
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709794