Photoenzymatic CO2 Reduction Dominated by Collaborative Matching of Linkage and Linker in Covalent Organic Frameworks

化学 连接器 联动装置(软件) 共价键 还原(数学) 匹配(统计) 组合化学 有机化学 计算机科学 生物化学 数学 操作系统 几何学 统计 基因
作者
Qiang Chen,Yujun Wang,Guangsheng Luo
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:146 (1): 586-598 被引量:62
标识
DOI:10.1021/jacs.3c10350
摘要

Artificial photoenzymatic systems based on covalent organic frameworks (COFs) provide an interesting platform for converting CO2 to value-added fuels. However, the dual roles of COFs as photocatalysts and enzyme hosts showcase contradictory preferences for structures, which poses a great challenge for their rational design. Herein, we report the collaborative matching of linkages and linkers in COFs on their ability to exert both photocatalytic activity and enzyme loading, which has been neglected until now. The linkage-dependent linker regulation pattern was elucidated, and the optimal match showed a record-breaking apparent quantum efficiency at 420 nm for photocatalytic cofactor regeneration of 13.95% with a high turnover frequency of 5.3 mmol g-1 h-1, outperforming other reported crystalline framework photocatalysts. Moreover, theoretical calculations and experiments revealed the mechanism underlying the effects of matching the linkage and linker on exciton dissociation and charge migration in photocatalysis. This newfound understanding enabled the construction of COFs with both high photoactivity and large pores closer in size to the formate dehydrogenase, achieving high loading capacity and a suitable confinement effect. Remarkably, the artificial photoenzymatic system constructed according to optimal linkage-linker matching exhibited highly efficient CO2 reduction, yielding formic acid with a specific activity as high as 1.46 mmol g-1 catalyst h-1 and good reusability, paving the way for sustainable CO2 conversion driven by visible light.
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
25jfren发布了新的文献求助10
1秒前
1秒前
1秒前
1秒前
2秒前
无花果发布了新的文献求助10
2秒前
核桃发布了新的文献求助10
3秒前
4秒前
joyyyang发布了新的文献求助10
6秒前
站岗小狗完成签到 ,获得积分10
6秒前
赘婿应助Lotus采纳,获得10
7秒前
JY_Gan发布了新的文献求助10
7秒前
AA发布了新的文献求助30
7秒前
8秒前
领导范儿应助彩色纸飞机采纳,获得10
8秒前
爆米花应助积极觅夏采纳,获得20
8秒前
8秒前
totoro完成签到,获得积分10
10秒前
12秒前
Julie发布了新的文献求助10
12秒前
2423完成签到,获得积分10
12秒前
13秒前
ty发布了新的文献求助10
13秒前
科研通AI6.2应助JEWEL采纳,获得10
14秒前
15秒前
xuzhu0907完成签到,获得积分10
15秒前
15秒前
16秒前
16秒前
16秒前
蓝桉发布了新的文献求助10
17秒前
Vincent完成签到,获得积分10
18秒前
Lotus发布了新的文献求助10
19秒前
大事年表发布了新的文献求助10
21秒前
爱咋咋地完成签到,获得积分10
21秒前
SciGPT应助白熊酱采纳,获得10
21秒前
zxp发布了新的文献求助10
22秒前
Lucas应助St雪采纳,获得10
22秒前
22秒前
hhhh发布了新的文献求助10
23秒前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1500
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 550
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 7511327
求助须知:如何正确求助?哪些是违规求助? 9099864
关于积分的说明 19422083
捐赠科研通 7118034
什么是DOI,文献DOI怎么找? 3253033
关于科研通互助平台的介绍 2421866
邀请新用户注册赠送积分活动 2239427