Impregnated nanoporous copper as catalysts for the electrocatalytic hydrogenation of furfural

糠醛 纳米孔 催化作用 化学 电催化剂 无机化学 材料科学 电化学 有机化学 电极 物理化学
作者
Wei‐Ting Lin,Yu-Shuo Lee,Wen‐Yueh Yu,I‐Chung Cheng
出处
期刊:Materials today sustainability [Elsevier BV]
卷期号:31: 101154-101154 被引量:1
标识
DOI:10.1016/j.mtsust.2025.101154
摘要

Electrochemical hydrogenation and hydrogenolysis (ECH) offer a sustainable approach for converting biomass-derived furfural (FF) into valuable products such as furfuryl alcohol (FOL) and 2-methylfuran (MF). However, challenges remain due to low Faradaic efficiency (FE), limited production rates, and competing hydrogen evolution reactions. In this study, nanoporous copper (NPC) was synthesized via dealloying of CuAl 2 to serve as an efficient catalyst support. Structural characterization confirmed its high surface area and distinct FCC crystalline facets. Compared to commercial Cu powder, NPC exhibited a 16-fold increase in electrochemical surface area, resulting in enhanced catalytic performance. At –1.00 V, the FE for FOL increased from 43.2% to 83.0%, HER was suppressed from 12.7% to 0.6%, and product yields improved by 4–6 times. Furthermore, bimetallic catalysts with 10 wt% Co, Ni, and Pd supported on NPC were investigated. Notably, 10Ni/NPC formed a Cu–Ni solid solution with FCC structure and significantly improved MF selectivity by 19.1%, likely due to a Ni/Cu(111) surface favoring the hydrodeoxygenation pathway. These findings highlight the effectiveness of NPC in enhancing the ECH of FF and its potential as a tunable platform for bimetallic catalyst design. ● The impregnation method successfully loaded secondary metals onto nanoporous Cu. ● Nanoporous Cu has up to 16 times the electrochemical surface area of Cu powder. ● Nanoporous Cu boosts furfuryl alcohol yield from 43.2% to 83.0% over Cu powder. ● Nanoporous Cu enables 2-methylfuran formation, increasing yield from 0% to 12.5%. ● Ni-impregnated nanoporous Cu increases 2-methylfuran selectivity by 31.6%.
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
wll发布了新的文献求助10
刚刚
Dz完成签到,获得积分20
刚刚
1秒前
2秒前
3秒前
CoverSx发布了新的文献求助10
3秒前
chi完成签到,获得积分10
3秒前
Yyy发布了新的文献求助10
4秒前
小河完成签到,获得积分10
4秒前
爆米花应助米其林采纳,获得10
4秒前
4秒前
七听应助Domenico采纳,获得30
4秒前
5秒前
Xieyusen完成签到,获得积分10
6秒前
鲤鱼诗桃发布了新的文献求助10
7秒前
合适尔风完成签到,获得积分10
7秒前
布谷完成签到,获得积分10
7秒前
7秒前
summer完成签到,获得积分10
7秒前
8秒前
Jasper应助zz采纳,获得10
8秒前
9秒前
9秒前
10秒前
sunnyfish007完成签到,获得积分10
11秒前
grs发布了新的文献求助10
12秒前
余晖霞光发布了新的文献求助10
13秒前
实验室应助Yyy采纳,获得200
14秒前
14秒前
研友_gnv0b8发布了新的文献求助50
14秒前
14秒前
wanci应助Ceci采纳,获得10
14秒前
Akim应助xxzz采纳,获得10
16秒前
脑洞疼应助清脆的书桃采纳,获得10
16秒前
16秒前
sy完成签到 ,获得积分20
17秒前
18秒前
科研通AI6.4应助maimai采纳,获得10
19秒前
Nole应助踏实雪巧采纳,获得10
19秒前
英吉利25发布了新的文献求助10
19秒前
高分求助中
(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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
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 7624290
求助须知:如何正确求助?哪些是违规求助? 9199449
关于积分的说明 19722664
捐赠科研通 7195453
什么是DOI,文献DOI怎么找? 3273499
关于科研通互助平台的介绍 2435675
邀请新用户注册赠送积分活动 2269343