Recent advances in nanozymes based on mesoporous materials for enhancing the performance of colorimetric biosensors: Applications and challenges

纳米技术 介孔材料 生物传感器 计算机科学 材料科学 化学 催化作用 生物化学
作者
Chou‐Yi Hsu,Rosull Saadoon Abbood,Ahmed Hussein Zwamel,Mohammad Y. Alshahrani,S. Ganesan,Jatin Sharma,Subhashree Ray,Rajesh Singh,Nooruldeen Ali Abdulhussein,Marwa Fadhil Alsaffar
出处
期刊:Nanoscale [Royal Society of Chemistry]
卷期号:17 (31): 17980-17992 被引量:6
标识
DOI:10.1039/d5nr01374g
摘要

Despite significant advancements in colorimetric assays, challenges in their sensitivity and selectivity remain, hindering their widespread applications. The nanotechnology revolution has played a pivotal role in developing sensitive and selective colorimetric biosensing assays, especially through the use of mesoporous materials to improve the performance of nanozymes and mesoporous nanozymes in colorimetric sensing. The role of mesoporous materials in these systems can be classified into three main types: supporting matrix, coating agent, and nanozymes themselves. Among different mesoporous materials, mesoporous silica (MS), mesoporous carbon (MC), mesoporous metal and metal oxide nanozymes have been widely used in colorimetric assays. Each category is characterized by specific properties, such as extensive surface area, adjustable porosity, and biomimetic catalytic features, which considerably enhance their enzyme-like activities. This study reviews current progress in the development of different mesoporous nanozyme systems, highlighting the pivotal functions of these nanozymes in colorimetric detection approaches. Along with focusing on the crucial role of these nanozymes in catalytic colorimetric reactions, we emphasize the advantages of colorimetric sensors. Their simplicity, affordability, and rapid reaction times introduce effective sensing approaches for detecting a wide range of targets. The application of these advanced colorimetric biosensing assays extends across multiple domains, including pollution monitoring in environmental matrices, food safety assessment, and biological 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
怕黑千易发布了新的文献求助10
1秒前
gblackhorn发布了新的文献求助10
1秒前
科研通AI6.4应助echo采纳,获得10
2秒前
Frozen Flame发布了新的文献求助10
2秒前
陆驳发布了新的文献求助10
3秒前
科研通AI6.2应助ZZY采纳,获得10
3秒前
taotao216发布了新的文献求助10
4秒前
酷波er应助含糊的寄柔采纳,获得10
6秒前
9秒前
9秒前
完美世界应助科研通管家采纳,获得10
10秒前
10秒前
赘婿应助科研通管家采纳,获得10
11秒前
11秒前
852应助科研通管家采纳,获得10
11秒前
11秒前
搜集达人应助科研通管家采纳,获得10
11秒前
天天快乐应助科研通管家采纳,获得10
11秒前
英姑应助科研通管家采纳,获得10
11秒前
香蕉觅云应助科研通管家采纳,获得10
11秒前
11秒前
潇潇爱吃火锅完成签到,获得积分10
11秒前
HisanaNiko应助科研通管家采纳,获得20
11秒前
12秒前
三眼乌鸦发布了新的文献求助10
13秒前
T_KYG发布了新的文献求助10
13秒前
YXYYXY发布了新的文献求助10
13秒前
幻梦完成签到,获得积分10
14秒前
Sarah完成签到,获得积分10
14秒前
15秒前
SHIKI发布了新的文献求助10
17秒前
赫连人杰完成签到,获得积分10
18秒前
SCX完成签到,获得积分10
20秒前
20秒前
科研通AI2S应助Mmrc采纳,获得30
22秒前
科研通AI6.4应助怕黑千易采纳,获得10
23秒前
hxy发布了新的文献求助10
23秒前
23秒前
陈情完成签到,获得积分10
24秒前
YXYYXY完成签到,获得积分10
24秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 7249199
求助须知:如何正确求助?哪些是违规求助? 8871994
关于积分的说明 18720743
捐赠科研通 6928494
什么是DOI,文献DOI怎么找? 3198669
关于科研通互助平台的介绍 2373978
邀请新用户注册赠送积分活动 2173284