Trimetallic FeCoNi Metal–Organic Framework with Enhanced Peroxidase-like Activity for the Construction of a Colorimetric Sensor for Rapid Detection of Thiophenol in Water Samples

硫酚 过氧化物酶 化学 金属有机骨架 环境化学 有机化学 吸附
作者
Zehui Deng,Jiaqing Cao,Lei Zhao,Zhaohui Zhang,Jianwei Yuan
出处
期刊:Molecules [Multidisciplinary Digital Publishing Institute]
卷期号:29 (16): 3739-3739 被引量:3
标识
DOI:10.3390/molecules29163739
摘要

In recent years, nanozymes have attracted particular interest and attention as catalysts because of their high catalytic efficiency and stability compared with natural enzymes, whereas how to use simple methods to further improve the catalytic activity of nanozymes is still challenging. In this work, we report a trimetallic metal–organic framework (MOF) based on Fe, Co and Ni, which was prepared by replacing partial original Fe nodes of the Fe-MOF with Co and Ni nodes. The obtained FeCoNi-MOF shows both oxidase-like activity and peroxidase-like activity. FeCoNi-MOF can not only oxidize the chromogenic substrate 3,3,5,5-tetramethylbenzidine (TMB) to its blue oxidation product oxTMB directly, but also catalyze the activation of H2O2 to oxidize the TMB. Compared with corresponding monometallic/bimetallic MOFs, the FeCoNi-MOF with equimolar metals hereby prepared exhibited higher peroxidase-like activity, faster colorimetric reaction speed (1.26–2.57 folds), shorter reaction time (20 min) and stronger affinity with TMB (2.50–5.89 folds) and H2O2 (1.73–3.94 folds), owing to the splendid synergistic electron transfer effect between Fe, Co and Ni. Considering its outstanding advantages, a promising FeCoNi-MOF-based sensing platform has been designated for the colorimetric detection of the biomarker H2O2 and environmental pollutant TP, and lower limits of detection (LODs) (1.75 μM for H2O2 and 0.045 μM for TP) and wider linear ranges (6–800 μM for H2O2 and 0.5–80 μM for TP) were obtained. In addition, the newly constructed colorimetric platform for TP has been applied successfully for the determination of TP in real water samples with average recoveries ranging from 94.6% to 112.1%. Finally, the colorimetric sensing platform based on FeCoNi-MOF is converted to a cost-effective paper strip sensor, which renders the detection of TP more rapid and convenient.
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
1秒前
喆喆发布了新的文献求助10
1秒前
1秒前
棋贴大圣完成签到,获得积分10
1秒前
2秒前
3秒前
星梦发布了新的文献求助10
4秒前
深情安青应助Rainandbow采纳,获得10
5秒前
谢谢完成签到,获得积分20
5秒前
6秒前
社会主义接班人完成签到 ,获得积分10
6秒前
swhin应助老实的又亦采纳,获得10
7秒前
英俊的铭应助unor采纳,获得10
7秒前
bkagyin应助lmsxg采纳,获得10
8秒前
皓岚完成签到,获得积分10
9秒前
hyunjj_niel完成签到,获得积分10
10秒前
123发布了新的文献求助10
10秒前
Akim应助好运连连采纳,获得10
11秒前
北冥有鱼完成签到 ,获得积分10
12秒前
天天快乐应助开放的元菱采纳,获得10
13秒前
13秒前
13秒前
aaa完成签到,获得积分10
13秒前
匆匆发布了新的文献求助10
14秒前
SciGPT应助Chang采纳,获得10
14秒前
15秒前
15秒前
My_magnum_opus应助刘晓倩采纳,获得30
15秒前
英俊的铭应助舒适的如萱采纳,获得10
15秒前
15秒前
顾矜应助森岛帆高的采纳,获得30
15秒前
旭龙完成签到,获得积分10
15秒前
文静达发布了新的文献求助10
18秒前
喆喆完成签到,获得积分10
19秒前
cxc发布了新的文献求助10
19秒前
李爱国应助小魔头采纳,获得10
20秒前
xyz发布了新的文献求助10
20秒前
Lucas完成签到,获得积分10
20秒前
双子土豆泥完成签到,获得积分10
21秒前
21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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Concepts in the Brain 500
核安全综合知识2024版 500
Photothermal Science and Techniques 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 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 7719641
求助须知:如何正确求助?哪些是违规求助? 9273255
关于积分的说明 20096794
捐赠科研通 7295681
什么是DOI,文献DOI怎么找? 3299921
关于科研通互助平台的介绍 2453665
邀请新用户注册赠送积分活动 2307195