Application progress of magnetic molecularly imprinted polymers chemical sensors in the detection of biomarkers

分子印迹聚合物 适体 复矩阵 计算机科学 生物标志物 材料科学 纳米技术 化学 分子识别 色谱法 选择性 生物 生物化学 遗传学 催化作用 有机化学 分子
作者
Ying Wang,Xiaomin Yang,Lin Pang,Peng Geng,Fang Mi,Cunming Hu,Fei Peng,Ming Guan
出处
期刊:Analyst [The Royal Society of Chemistry]
卷期号:147 (4): 571-586 被引量:12
标识
DOI:10.1039/d1an01112j
摘要

Specific recognition and highly sensitive detection of biomarkers play an essential role in identification, early diagnosis and prevention of many diseases. Magnetic molecularly imprinted polymers (MMIPs) have been widely used to capture biomimetic receptors for targets in various complex matrices due to their superior recognition ability, structural stability, and rapid separation characteristics, which overcome the existing deficiencies of traditional recognition elements such as antibodies, aptamers. The integration of MMIPs as recognition elements with chemical sensors opens new opportunities for the development of advanced analytical devices with improved selectivity and sensitivity, shorter analysis time, and lower cost. Recently, MMIPs-chemical sensors (MMIPs-CS) have made significant progress in detection, but many challenges and development spaces remain. Therefore, this review focuses on the research progress of the sensor based on biomarker detection and introduces the surface modification of the magnetic support material used to prepare high selective MMIPs, as well as the selective extraction of target biomarkers by MMIPs from the complex biological sample matrix. Based on the understanding of optical sensors and electrochemical sensors, the applications of MMIPs-optical sensors (MMIPs-OS) and MMIPs-electrochemical sensors (MMIPs-ECS) for biomarker detection were reviewed and discussed in detail. Moreover, it provides an overview of the challenges in this research area and the potential strategies for the rational design of high-performance MMIPs-CS, accelerating the development of multifunctional MMIPs-CS.
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
神凰发布了新的文献求助10
3秒前
痴情的萃发布了新的文献求助10
4秒前
果果完成签到,获得积分10
5秒前
丘比特应助samjoo采纳,获得10
5秒前
luna完成签到 ,获得积分10
6秒前
6秒前
pluto应助大emo采纳,获得50
7秒前
华仔应助舟舟采纳,获得10
8秒前
神凰发布了新的文献求助10
9秒前
大头小王完成签到,获得积分10
9秒前
Alice完成签到,获得积分10
9秒前
9秒前
10秒前
12秒前
刘九三完成签到,获得积分10
12秒前
耍酷芙蓉完成签到,获得积分10
13秒前
qianchimo完成签到 ,获得积分10
14秒前
TT2022发布了新的文献求助10
17秒前
samjoo完成签到,获得积分10
17秒前
兴奋蘑菇发布了新的文献求助10
18秒前
标致小伙完成签到,获得积分10
19秒前
结实的含烟完成签到,获得积分10
19秒前
yr888完成签到,获得积分10
21秒前
快乐的废物完成签到,获得积分10
21秒前
小谷发布了新的文献求助10
22秒前
彭于晏应助科研通管家采纳,获得10
22秒前
坚强亦丝应助科研通管家采纳,获得10
22秒前
我是老大应助科研通管家采纳,获得10
22秒前
科研通AI2S应助科研通管家采纳,获得10
23秒前
木头的木应助科研通管家采纳,获得10
23秒前
SciGPT应助科研通管家采纳,获得10
23秒前
小二郎应助科研通管家采纳,获得10
23秒前
顾矜应助科研通管家采纳,获得10
23秒前
搜集达人应助科研通管家采纳,获得10
23秒前
pluto应助科研通管家采纳,获得30
23秒前
彭于晏应助科研通管家采纳,获得10
23秒前
小二郎应助科研通管家采纳,获得10
23秒前
SYLH应助科研通管家采纳,获得10
23秒前
科研通AI2S应助科研通管家采纳,获得10
23秒前
SYLH应助科研通管家采纳,获得10
23秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Востребованный временем 2500
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
지식생태학: 생태학, 죽은 지식을 깨우다 600
海南省蛇咬伤流行病学特征与预后影响因素分析 500
Neuromuscular and Electrodiagnostic Medicine Board Review 500
ランス多機能化技術による溶鋼脱ガス処理の高効率化の研究 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3461273
求助须知:如何正确求助?哪些是违规求助? 3054977
关于积分的说明 9045885
捐赠科研通 2744911
什么是DOI,文献DOI怎么找? 1505727
科研通“疑难数据库(出版商)”最低求助积分说明 695812
邀请新用户注册赠送积分活动 695233