Recent advances in the electrochemical production of hydrogen peroxide

过氧化氢 环境友好型 电化学 析氧 工艺工程 环境科学 化学 生化工程 纳米技术 材料科学 有机化学 电极 工程类 生态学 生物 物理化学
作者
Nishu Dhanda,Yogesh Kumar Panday,Sudesh Kumar
出处
期刊:Electrochimica Acta [Elsevier BV]
卷期号:481: 143872-143872 被引量:35
标识
DOI:10.1016/j.electacta.2024.143872
摘要

Hydrogen peroxide (H2O2) is an innovative and environmentally friendly oxidant that finds wide-ranging applications across multiple industries. In the past, H2O2 production predominantly relied on the anthraquinone method, which had drawbacks such as the generation of organic waste and the requirement for energy-intensive reactions. A cheap, efficient, and sustainable way of producing H2O2 may be achieved through the redox reaction between oxygen and water. On both small and large scales, the electrosynthesis of H2O2 is practical and affordable. In recent years, it has been thought that the energy-intensive anthraquinone process may be replaced by the electrochemical synthesis of H2O2 via the two-electron oxygen reduction reaction (ORR) route. To eliminate the organic pollutants found in drinking water and industrial effluent, highly effective hydrogen peroxide (H2O2) must be produced electrochemically using gas diffusion electrodes (GDEs). Compared to other carbonaceous cathodes, the GDEs as cathodic electrocatalysts demonstrate greater cost-effectiveness, lower energy consumption, and higher oxygen utilization efficiency for the formation of H2O2. A promising alternative for enabling the growth of sustainable economics in the W&W sector is microbial electrochemical systems (MESs) that create H2O2. To enhance the efficiency and predictability of H2O2 production in MESs, a machine-learning approach was adopted, incorporating a meta-learning methodology to forecast the generation rate of H2O2 in MES based on the seven input variables, comprising several design and operational parameters.
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
W溜溜梅完成签到 ,获得积分10
刚刚
刚刚
Ava应助妮妮采纳,获得10
1秒前
1秒前
1秒前
星辰大海应助研友_LavApn采纳,获得10
2秒前
科目三应助Quincy采纳,获得10
2秒前
david完成签到,获得积分10
2秒前
乐乐应助木林森采纳,获得10
2秒前
2秒前
萱棚发布了新的文献求助10
2秒前
隐形曼青应助科研通管家采纳,获得30
3秒前
星辰大海应助科研通管家采纳,获得10
3秒前
3秒前
852应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
3秒前
无极微光应助科研通管家采纳,获得20
3秒前
Hello应助科研通管家采纳,获得10
3秒前
天天快乐应助科研通管家采纳,获得10
3秒前
脑洞疼应助科研通管家采纳,获得30
3秒前
钱烨华完成签到,获得积分10
3秒前
3秒前
丘比特应助shoolarli采纳,获得10
3秒前
NexusExplorer应助科研通管家采纳,获得20
3秒前
orixero应助科研通管家采纳,获得10
3秒前
上官若男应助科研通管家采纳,获得10
4秒前
田様应助科研通管家采纳,获得10
4秒前
慕青应助科研通管家采纳,获得10
4秒前
德伯88发布了新的文献求助10
4秒前
天天快乐应助科研通管家采纳,获得10
4秒前
香蕉觅云应助科研通管家采纳,获得10
4秒前
852应助科研通管家采纳,获得10
4秒前
4秒前
充电宝应助科研通管家采纳,获得10
4秒前
Pieceliu发布了新的文献求助10
4秒前
bkagyin应助科研通管家采纳,获得10
4秒前
寒冷不言应助科研通管家采纳,获得20
4秒前
爆米花应助科研通管家采纳,获得10
4秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 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
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
The Immune System (Fifth Edition) 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6562060
求助须知:如何正确求助?哪些是违规求助? 8343878
关于积分的说明 17877996
捐赠科研通 5684048
什么是DOI,文献DOI怎么找? 2942061
邀请新用户注册赠送积分活动 1918058
关于科研通互助平台的介绍 1790978