Recent improvements in enzyme-linked immunosorbent assays based on nanomaterials

纳米材料 化学 纳米技术 计算生物学 材料科学 生物
作者
Qian Zhao,Lu Dai,Guangyin Zhang,Dong Zhang,Xingbo Shi
出处
期刊:Talanta [Elsevier BV]
卷期号:223 (Pt 1): 121722-121722 被引量:217
标识
DOI:10.1016/j.talanta.2020.121722
摘要

As a gold standard technique, enzyme-linked immunosorbent assay (ELISA) organically combines immunoreactions between antigens and antibodies with enzyme catalysis. The use of ELISA has contributed to advances in applications such as clinical diagnosis, food quality control, and environmental monitoring. However, conventional ELISA suffer from the moderate sensitivity and reliance on enzyme activity, which make it impossible to reliably and inexpensively detect trace targets. The nanotechnology boom has yielded exciting developments in designing nanomaterial-based improved ELISA in recent years. In this review, we attempt to comprehensively describe the improvements in ELISA methodology based on nanomaterials, with a focus on the mode of signal detection, such as colorimetric, fluorescent, electrochemical, photothermal, and Raman scattering sensing. We particularly emphasized on how nanomaterials are used as loading carriers, enzyme mimics, and signal reporters. This review concerns on partially representative examples and describes novel concepts and promising applications, rather than being exhaustive. Finally, we outline the challenges and perspectives, hopefully provide brief guideline to develop neotype improved ELISA.
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
2秒前
3秒前
4秒前
动听的琴完成签到,获得积分10
4秒前
Lyra完成签到,获得积分10
5秒前
6秒前
6秒前
奕苼完成签到 ,获得积分10
6秒前
Electrocatalysis完成签到,获得积分10
8秒前
hvacr123发布了新的文献求助10
10秒前
Strange完成签到,获得积分10
10秒前
huxiao发布了新的文献求助10
11秒前
ming发布了新的文献求助30
13秒前
CipherSage应助黄诗阳采纳,获得10
14秒前
luo完成签到,获得积分20
14秒前
深情安青应助Pendulium采纳,获得10
16秒前
万能图书馆应助高大迎曼采纳,获得10
19秒前
huxiao完成签到,获得积分20
19秒前
发发发的方球球完成签到,获得积分20
19秒前
美丽大肚腩完成签到,获得积分10
22秒前
今后应助Morch2021采纳,获得50
22秒前
Strange发布了新的文献求助10
23秒前
药膳干完成签到,获得积分10
23秒前
acadedog完成签到,获得积分10
24秒前
25秒前
26秒前
柔弱的老三完成签到 ,获得积分10
27秒前
28秒前
高大迎曼发布了新的文献求助10
31秒前
lx发布了新的文献求助10
31秒前
33秒前
nadeem完成签到 ,获得积分10
33秒前
韩han发布了新的文献求助10
34秒前
文艺采文完成签到,获得积分10
35秒前
36秒前
李爱国应助科研通管家采纳,获得10
41秒前
Akim应助科研通管家采纳,获得10
41秒前
Hello应助科研通管家采纳,获得10
41秒前
天天快乐应助科研通管家采纳,获得10
41秒前
科研通AI2S应助科研通管家采纳,获得10
41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 2000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 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
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 7551906
求助须知:如何正确求助?哪些是违规求助? 9134785
关于积分的说明 19520633
捐赠科研通 7143822
什么是DOI,文献DOI怎么找? 3260241
关于科研通互助平台的介绍 2426999
邀请新用户注册赠送积分活动 2249308