A dual-modal aptasensor based on a multifunctional acridone derivate for exosomes detection

化学 适体 检出限 吸光度 微泡 荧光 纳米颗粒 化学发光 组合化学 纳米技术 生物物理学 色谱法 生物化学 分子生物学 材料科学 小RNA 物理 量子力学 基因 生物
作者
Yaokun Xia,Tingting Chen,Wenqian Chen,Guanyu Chen,Lilan Xu,Li Zhang,Xiaoling Zhang,Wei‐Ming Sun,Jianming Lan,Xu Lin,Jinghua Chen
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1191: 339279-339279 被引量:36
标识
DOI:10.1016/j.aca.2021.339279
摘要

Exosomes are promising biomarkers for cancer screening, but the development of a robust approach that can sensitively and accurately detect exosomes remains challenging. In the present study, an aptasensor based on the multifunctional signal probe 10-benzyl-2-amino-acridone (BAA) was developed for the colorimetric and photoelectrochemical detection and quantitation of exosomes. Exosomes are captured by cholesterol DNA anchor-modified magnetic beads (MBs) through hydrophobic interactions. This capture process can be monitored under a confocal fluorescence microscope using BAA as the fluorescent signal probe. The aptamer modified copper oxide nanoparticles (CuO NPs) then bind to mucin 1 (MUC1) on the surface of the exosomes to form a sandwich structure (MBs-Exo-CuO NPs). Finally, the MBs-Exo-CuO NPs are dissolved in nitric acid to generate Cu2+, which inhibits the visible-light-induced oxidase mimic activity and photoelectrochemical activity of BAA simultaneously. The changes in absorbance and photocurrent intensities are directly proportional to the concentration of exosomes. In this dual-modal aptasensor, the colorimetric assay can achieve rapid screening and identification, which is especially useful for point-of-care testing. The UV-vis absorbance and photocurrent assays then provide quantitative information, with a limit of detection of 1.09 × 103 particles μL-1 and 1.38 × 103 particles μL-1, respectively. The proposed aptasensor thus performs dual-modal detection and quantitation of exosomes. This aptasensor provides a much-needed toolset for exploring the biological roles of exosomes in specific diseases, particularly in the clinical setting.
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
simp1e应助石榴采纳,获得10
刚刚
陶醉元枫发布了新的文献求助10
1秒前
无花果应助背后正豪采纳,获得10
1秒前
Owen应助BEIMI采纳,获得10
2秒前
3秒前
3秒前
宠仙发布了新的文献求助10
3秒前
zhangqiu完成签到,获得积分10
3秒前
赵四胖完成签到,获得积分10
3秒前
多摩川的烟花少年完成签到,获得积分10
3秒前
3秒前
LIU完成签到,获得积分10
3秒前
SciGPT应助笑点低钥匙采纳,获得10
3秒前
阔达的哈密瓜完成签到,获得积分10
4秒前
Jasper发布了新的文献求助10
5秒前
woshi123应助孔问筠采纳,获得10
5秒前
bboo完成签到,获得积分10
6秒前
小班杰斯完成签到 ,获得积分10
6秒前
7秒前
云谷发布了新的文献求助10
7秒前
7秒前
玉耀完成签到,获得积分10
7秒前
赵泰完成签到,获得积分10
8秒前
8秒前
8秒前
lab完成签到,获得积分10
8秒前
8秒前
斯文败类应助Dovvvvvv采纳,获得10
8秒前
Hello应助范宇航采纳,获得10
9秒前
温暖的枫叶完成签到,获得积分10
9秒前
liu完成签到 ,获得积分10
9秒前
脑洞疼应助kk采纳,获得10
9秒前
10秒前
10秒前
鲤鱼孤兰完成签到,获得积分10
10秒前
打打应助梁晓婉采纳,获得10
11秒前
jiujieweizi完成签到 ,获得积分10
11秒前
慕青应助wangyuting采纳,获得10
11秒前
xxxx完成签到,获得积分20
11秒前
汉堡包应助Dgaker采纳,获得10
12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
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 7621237
求助须知:如何正确求助?哪些是违规求助? 9196252
关于积分的说明 19712218
捐赠科研通 7192680
什么是DOI,文献DOI怎么找? 3272705
关于科研通互助平台的介绍 2435199
邀请新用户注册赠送积分活动 2267881