Mussel-inspired Fe-based Tannic acid Nanozyme: A renewable bioresource-derived high-affinity signal tag for dual-readout multiplex lateral flow immunoassay

检出限 信号(编程语言) 免疫分析 多路复用 线性范围 化学 纳米技术 色谱法 材料科学 计算机科学 生物信息学 生物 抗体 程序设计语言 免疫学
作者
Sijie Liu,Rui Shu,Jiaqi Ma,Leina Dou,Wentao Zhang,Shaochi Wang,Yanwei Ji,Yuechun Li,Jing Xu,Daohong Zhang,Ming-Qiang Zhu,Yumei Song,Jianlong Wang
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:446: 137382-137382 被引量:86
标识
DOI:10.1016/j.cej.2022.137382
摘要

Lateral flow immunoassay (LFIA) is a paper-based point-of-care (POC) diagnostic tool for widespread applications. Nonetheless, the lack of multi-target monitor capability, high-affinity between signal tag and antibody, and multi-signal readout capability still remain challenges. Herein, a mussel-inspired Fe-based Tannic acid (TA) Nanozyme (FTAN) mediated dual-readout and dual-semiquantitative multiplex lateral flow immunoassay (MLFIA) was strategically fabricated by employing ractopamine (RAC) and clenbuterol (CLE) as proof-of-concept. Avail of the environment-friendly, cost-effective, darker original color, and dual-signal readout capacity, FTAN was innovatively designed by chelating renewable bioresource TA as coupling element and Fe as active center to manufacture a multi-functional signal tag for the first time. Benefiting from the preferential protein adsorption ability of TA-Fe, the mussel-inspired nanozyme achieves satisfactory coupling efficiency and stability with antibodies. Importantly, the whole detection range was divided into several monitoring sections owing to the defined multiple detection limits (originated from on-demand outputs of colorimetric and catalytic signal) and broadened detection range, which contribute to satisfies dual-semiquantitative rapid on-site detection and various limit standards of same target in different regions. This research may contribute to the rational design of high-affinity nanozyme-based signal tags in LFIAs, the exploration of more renewable bioresource-derived nanozymes, and the extension of their applications in relevant sectors.
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
狂野剑心发布了新的文献求助10
刚刚
方方完成签到,获得积分20
刚刚
smile完成签到,获得积分10
刚刚
答辩完成签到,获得积分10
刚刚
今后应助大壮学习采纳,获得10
刚刚
浽溦发布了新的文献求助10
刚刚
汉堡包应助李子昂采纳,获得10
1秒前
cdercder应助小乐采纳,获得10
1秒前
彭于晏应助胡图图采纳,获得10
1秒前
2秒前
2秒前
2秒前
Aintzane完成签到 ,获得积分10
3秒前
英吉利25发布了新的文献求助10
3秒前
3秒前
zxc完成签到,获得积分10
3秒前
SciGPT应助动听初珍采纳,获得10
3秒前
4秒前
平常叫兽发布了新的文献求助20
4秒前
石文莉完成签到,获得积分20
4秒前
4秒前
哎哟哎哟完成签到,获得积分10
5秒前
FFZ发布了新的文献求助10
5秒前
小乐完成签到,获得积分10
5秒前
Nniu完成签到,获得积分10
6秒前
sheng完成签到,获得积分10
6秒前
小吴发布了新的文献求助10
7秒前
lyw完成签到 ,获得积分10
7秒前
8秒前
jin完成签到,获得积分10
8秒前
8秒前
moon发布了新的文献求助10
8秒前
金枪鱼完成签到,获得积分10
8秒前
慕青应助RaymondLeong采纳,获得10
8秒前
顾矜应助机智的监狱科研采纳,获得10
8秒前
9秒前
9秒前
Ssyong完成签到 ,获得积分10
10秒前
hmm完成签到,获得积分10
10秒前
molihuakai应助从容的火龙果采纳,获得10
10秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7298941
求助须知:如何正确求助?哪些是违规求助? 8917470
关于积分的说明 18883237
捐赠科研通 6964001
什么是DOI,文献DOI怎么找? 3210788
关于科研通互助平台的介绍 2380130
邀请新用户注册赠送积分活动 2187333