已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Molecularly imprinted polymer-integrated nanozymes for biosensing: advances and prospects

纳米技术 分子印迹聚合物 计算机科学 生化工程 可比性 生物传感器 可扩展性 资源(消歧) 分子印迹 材料科学 风险分析(工程)
作者
Shaemaa Hadi Abdulsada,Álvaro García‐Cruz,Christopher Zaleski,Elena Piletska,Sergey A. Piletsky
出处
期刊:Journal of Materials Chemistry B [Royal Society of Chemistry]
卷期号:13 (47): 15213-15229 被引量:7
标识
DOI:10.1039/d5tb01416f
摘要

Nanozymes engineered nanomaterials with enzyme-like catalytic activity-have emerged as cost-effective and stable alternatives to enzymes. However, their broad substrate range and lack of specificity limit their utility in precision biosensing. To overcome this, molecularly imprinted polymers (MIP) have been integrated with nanozymes, forming hybrid nanozyme@MIP systems that combine catalytic efficiency with molecular recognition. These materials exhibit enhanced selectivity and sensitivity, enabling their application in diverse biosensing platforms, including colorimetric, fluorescence, and electrochemical assays for the detection of drugs, pollutants, and disease biomarkers. This review critically examines recent advances in the design, synthesis, and application of nanozyme@MIP composites. This review provides a timely and comprehensive analysis of molecularly imprinted nanozymes, presenting a viable alternative to conventional enzyme-based systems. It bridges a critical gap by detailing design strategies, catalytic mechanisms, and biosensing applications. Its clarity, depth, and interdisciplinary relevance make it a valuable resource for advancing research and practical applications in this emerging field. We explore various imprinting strategies, catalytic mechanisms, and assay formats, while highlighting their advantages over conventional biosensors, such as improved stability, reusability, and cost-effectiveness. Key challenges are addressed, including the trade-off between selectivity and catalytic activity, non-specific adsorption, and the predominance of peroxidase-like mechanisms. Special attention is given to performance in complex matrices, scalability of synthesis, long-term stability, and biocompatibility. Furthermore, we discuss the need for standardized protocols to ensure reproducibility and comparability across studies and propose design principles to optimize MIP layer properties for enhanced performance. By integrating recent literature and comparative analyses, this review provides a comprehensive framework to guide future research and industrial translation of nanozyme@MIP-based biosensors for diagnostics, environmental monitoring, and point-of-care applications.
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
刚刚
1秒前
科研通AI6.2应助面朝大海采纳,获得10
3秒前
bluee发布了新的文献求助10
4秒前
4秒前
zoomer发布了新的文献求助10
5秒前
5秒前
卢乃旋发布了新的文献求助10
6秒前
wanci应助苦思力采纳,获得10
6秒前
6秒前
Rita完成签到,获得积分10
6秒前
眼睛大淇完成签到,获得积分10
6秒前
7秒前
小巧念露完成签到,获得积分10
10秒前
OMO发布了新的文献求助10
11秒前
张杰发布了新的文献求助10
11秒前
小茗同学完成签到,获得积分10
14秒前
whoknowsname完成签到,获得积分10
16秒前
gat完成签到 ,获得积分10
18秒前
76完成签到 ,获得积分10
19秒前
称心忆灵完成签到,获得积分10
21秒前
Seven完成签到 ,获得积分10
29秒前
31秒前
幕请发布了新的文献求助30
33秒前
kaka发布了新的文献求助10
34秒前
35秒前
moumou发布了新的文献求助10
36秒前
张杰完成签到,获得积分10
37秒前
zhengzengpeng完成签到,获得积分10
38秒前
归筙许发布了新的文献求助10
39秒前
科研通AI6.2应助雨滴音乐采纳,获得10
42秒前
44秒前
molihuakai应助幕请采纳,获得30
46秒前
无所谓完成签到 ,获得积分10
46秒前
郢儿应助kaka采纳,获得150
49秒前
50秒前
科研通AI6.4应助subat采纳,获得30
50秒前
Shawn完成签到 ,获得积分10
50秒前
51秒前
丘比特应助meimei采纳,获得10
51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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777830
求助须知:如何正确求助?哪些是违规求助? 9318617
关于积分的说明 20365227
捐赠科研通 7364949
什么是DOI,文献DOI怎么找? 3319082
关于科研通互助平台的介绍 2466730
邀请新用户注册赠送积分活动 2334335