Fe(Ⅱ)-doped ZIF-67 derivatives-based composites as nanozyme for dual-mode colorimetric and fluorescent detection of SARS-CoV-2 nucleocapsid protein

双金属片 荧光 纳米颗粒 检出限 纳米复合材料 材料科学 碳纤维 核化学 化学 纳米技术 催化作用 色谱法 复合数 有机化学 复合材料 物理 量子力学
作者
Yue Sun,Zihao Xie,Fubin Pei,Yi Wu,Shasha Feng,Qingli Hao,Bing Liu,Xihui Mu,Wu Lei,Zhaoyang Tong
出处
期刊:Sensors and Actuators B-chemical [Elsevier]
卷期号:394: 134428-134428 被引量:8
标识
DOI:10.1016/j.snb.2023.134428
摘要

The repeated outbreaks of coronavirus disease 2019 (COVID-19) have seriously threatened human health and economic development. Therefore, it is still significant to explore an efficient method for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection. Herein, we designed a dual-mode colorimetric and fluorescent immunosensor based on Fe2+ doped ZIF-67 derivatives-based composites, Pt nanoparticles loaded on CoFe nanoparticles embedded porous carbon-nitrogen hexahedron (CoFe/NC@Pt), for detecting SARS-CoV-2 nucleocapsid protein. The doping of Fe2+ generated bimetallic CoFe nanoparticles and formed more defects after pyrolysis. Meanwhile, the peroxides-like activity significantly improved owning to the synergistic effect of Co and Fe nanoparticles. Furthermore, loaded Pt nanoparticles not only provided more active sites, but also could couple antibodies by modifying functional groups. CoFe/NC@Pt exhibited good peroxidase-like activity and could catalyze the oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) to blue oxides in the presence of H2O2, generating visible color signals. While the oxTMB could quench the fluorescence of carbon dots through inner filter effect, thereby providing fluorescent signals. The limit of detection were 0.022 ng/mL (colorimetric) and 0.018 ng/mL (fluorescent). And the specificity of the immunosensor was verified by comparing with other interferents. Therefore, this dual-mode immunosensor with good performance provided a reliable strategy for diagnosis of COVID-19.
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
明理雨筠完成签到,获得积分10
刚刚
Ava应助Chen采纳,获得10
1秒前
1秒前
1秒前
Xing发布了新的文献求助10
1秒前
w.h发布了新的文献求助10
2秒前
搜集达人应助狼来了aas采纳,获得10
3秒前
4秒前
点点发布了新的文献求助10
4秒前
6秒前
6秒前
blingbling完成签到,获得积分10
6秒前
6秒前
黄啊涛发布了新的文献求助10
6秒前
6秒前
嘻嘻发布了新的文献求助30
6秒前
7秒前
7秒前
10秒前
10秒前
科研123发布了新的文献求助10
10秒前
Rainbow发布了新的文献求助10
10秒前
10秒前
米花完成签到 ,获得积分10
10秒前
凝子老师发布了新的文献求助10
11秒前
flying蝈蝈完成签到,获得积分10
11秒前
Rein完成签到,获得积分10
11秒前
11秒前
Zxc发布了新的文献求助10
11秒前
nininidoc完成签到,获得积分10
12秒前
123号发布了新的文献求助10
14秒前
Chen发布了新的文献求助10
15秒前
汉堡包应助caoyy采纳,获得10
15秒前
阳阳发布了新的文献求助10
15秒前
田所浩二完成签到 ,获得积分10
15秒前
15秒前
华仔应助奶糖采纳,获得30
16秒前
动力小滋完成签到,获得积分10
16秒前
ding应助瑶一瑶采纳,获得10
19秒前
fmwang完成签到,获得积分10
20秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527998
求助须知:如何正确求助?哪些是违规求助? 3108225
关于积分的说明 9288086
捐赠科研通 2805889
什么是DOI,文献DOI怎么找? 1540195
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709849