Ultrasensitive Single-Molecule Immunoassays Built on Digital Techniques for Low Amounts of Biomarker Detection

生物标志物 免疫分析 化学 色谱法 纳米技术 材料科学 医学 生物化学 抗体 免疫学
作者
Ningneng Zhai,Xiaoting Ling,Yunhua Huang,Yunhua Huang,Yuling Qiu,Chenghan Wang,Chaoyu Huang,Long Yan,Ying Chen,Qingxing Xiao,Jiaqi Luo,Rongheng Tang,Faquan Lin,Yifang Huang,Yifang Huang
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:10 (8): 5380-5409 被引量:2
标识
DOI:10.1021/acssensors.5c00895
摘要

The molecular-level identification of diseases is recognized as a crucial aspect of precision medicine, playing an important role in the early diagnosis and surveillance of various diseases. Digital single-molecule immunoassay (SMI) is an emerging technique that enables the precise quantitative detection of biomolecules at concentrations as low as 10-18 mol/L, thereby facilitating early disease diagnosis and clinical monitoring. This review provides a comprehensive overview of the principles and instrumentation associated with digital SMI technologies, which are classified into four types based on their sensing mechanisms, key characteristics, and evolving development trends aimed at being stronger, smarter, and simpler (3S). First, a detailed description of microarray-based and microdroplet-based SMI techniques is provided. These approaches achieve a ″stronger″ single-molecule detection performance and reliable stability. Subsequently, recent advancements in digital SMIs that employ nonchip and homogeneous formats are discussed. These innovations extend classical digital SMIs while significantly reducing assay complexity, thereby making the detection process both ″smarter″ and ″simpler.″ Furthermore, this review delves into the distinctive clinical applications of ultrasensitive digital SMIs in the detection of neurological disorders, cancers, and infectious diseases, highlighting the specific methodologies utilized. Finally, the current status of digital SMI technology is summarized, along with future prospects for its development.
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
肉肉发布了新的文献求助10
1秒前
1秒前
sunmingyu发布了新的文献求助10
2秒前
NIN完成签到,获得积分10
2秒前
老实凝蕊完成签到,获得积分10
2秒前
科研通AI6.3应助ruan采纳,获得10
3秒前
lvmanchun发布了新的文献求助10
4秒前
云吞完成签到,获得积分10
4秒前
4秒前
4秒前
鳗鱼觅珍完成签到 ,获得积分10
4秒前
wu发布了新的文献求助10
4秒前
Gallop完成签到,获得积分10
5秒前
666发布了新的文献求助10
6秒前
7秒前
科研通AI6.3应助xinzhao采纳,获得10
7秒前
斯文败类应助zhendema采纳,获得30
8秒前
曹星完成签到,获得积分10
9秒前
shen完成签到,获得积分10
9秒前
Xie发布了新的文献求助10
13秒前
华仔应助沉默鱼采纳,获得10
13秒前
丘比特应助11采纳,获得10
13秒前
14秒前
sun完成签到 ,获得积分10
15秒前
风轩轩发布了新的文献求助10
15秒前
浪客剑心完成签到,获得积分10
16秒前
小二郎应助心灵美的元彤采纳,获得10
16秒前
打打应助可怜的小羊采纳,获得10
16秒前
行舟完成签到 ,获得积分10
17秒前
Hello应助sunmingyu采纳,获得10
17秒前
winwin完成签到 ,获得积分10
17秒前
小蘑菇应助pierolahm采纳,获得20
19秒前
路先生发布了新的文献求助10
19秒前
20秒前
Yaayo发布了新的文献求助10
20秒前
21秒前
sun关注了科研通微信公众号
22秒前
旧人完成签到,获得积分10
22秒前
22秒前
22秒前
高分求助中
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Organic Reactions Volume 118 400
A Foreign Missionary on the Long March: The Unpublished Memoirs of Arnolis Hayman of the China Inland Mission 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6462013
求助须知:如何正确求助?哪些是违规求助? 8270224
关于积分的说明 17630054
捐赠科研通 5533008
什么是DOI,文献DOI怎么找? 2906656
邀请新用户注册赠送积分活动 1883425
关于科研通互助平台的介绍 1729646