Single-Atom Iron Anchored on 2-D Graphene Carbon to Realize Bridge-Adsorption of O–O as Biomimetic Enzyme for Remarkably Sensitive Electrochemical Detection of H2O2

石墨烯 化学 吸附 电化学 碳纤维 无机化学 Atom(片上系统) 纳米技术 桥(图论) 化学工程 电极 材料科学 物理化学 复合数 嵌入式系统 工程类 复合材料 内科学 医学 计算机科学
作者
Juan Li,Chao Wu,Chengsong Yuan,Zhuanzhuan Shi,Kaiyue Zhang,Zhuo Zou,Lulu Xiong,Jie Chen,Yali Jiang,Wei Sun,Kanglai Tang,Hongbin Yang,Chang Ming Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (41): 14109-14117 被引量:46
标识
DOI:10.1021/acs.analchem.2c01001
摘要

Single-atom catalysis is mainly focused on its dispersed high-density catalytic sites, but delicate designs to realize a unique catalysis mechanism in terms of target reactions have been much less investigated. Herein an iron single atomic site catalyst anchored on 2-D N-doping graphene (Fe-SASC/G) was synthesized and further employed as a biomimetic sensor to electrochemically detect hydrogen peroxide, showing an extremely high sensitivity of 3214.28 μA mM-1 cm-2, which is much higher than that (6.5 μA mM-1 cm-2) of its dispersed on 1-D carbon nanowires (Fe-SASC/NW), ranking the best sensitivity among all reported Fe based catalyst at present. The sensor was also used to successfully in situ monitor H2O2 released from A549 living cells. The mechanism was further systematically investigated. Results interestingly indicate that the distance between adjacent single Fe atomic catalytic sites on 2-D graphene of Fe-SASC/G matches statistically well with the outer length of bioxygen of H2O2 to promote a bridge adsorption of -O-O- for simultaneous 2-electron transfer, while the single Fe atoms anchored on distant 1-D nanowires in Fe-SASC/NW only allow an end-adsorption of oxygen atoms for 1-electron transfer. These results demonstrate that Fe-SASC/G holds great promise as an advanced electrode material in selective and sensitive biomimetic sensor and other electrocatalytic applications, while offering scientific insights in deeper single atomic catalysis mechanisms, especially the effects of substrate dimensions on the mechanism.
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
刚刚
科研通AI6.2应助yuans采纳,获得10
1秒前
1秒前
激昂的夜山关注了科研通微信公众号
1秒前
来自水星的菠萝完成签到,获得积分10
2秒前
邺yu完成签到,获得积分10
3秒前
3秒前
3秒前
基伍树蝰完成签到,获得积分20
3秒前
3秒前
CipherSage应助Nouseyy采纳,获得10
4秒前
4秒前
5秒前
老实莫言完成签到,获得积分10
5秒前
fang发布了新的文献求助10
6秒前
Ali78790发布了新的文献求助10
7秒前
7秒前
彭于晏应助无隅采纳,获得10
9秒前
杳杳发布了新的文献求助10
9秒前
9秒前
HM发布了新的文献求助10
10秒前
p1完成签到,获得积分10
10秒前
feng发布了新的文献求助10
11秒前
11秒前
蒋蒋发布了新的文献求助20
12秒前
13秒前
13秒前
14秒前
顾矜应助TIANccc采纳,获得30
14秒前
15秒前
Lucky发布了新的文献求助10
15秒前
星辰大海应助挚友采纳,获得30
15秒前
Chelsea完成签到,获得积分10
15秒前
薯条发布了新的文献求助10
15秒前
16秒前
micor发布了新的文献求助10
17秒前
直率雪曼发布了新的文献求助20
18秒前
mochen发布了新的文献求助10
18秒前
19秒前
四十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
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7770478
求助须知:如何正确求助?哪些是违规求助? 9313422
关于积分的说明 20333753
捐赠科研通 7355769
什么是DOI,文献DOI怎么找? 3316437
关于科研通互助平台的介绍 2465106
邀请新用户注册赠送积分活动 2331247