Ultrasmall FeSx Cluster Confined Photo‐Switchable Covalent‐Organic Framework Nanozyme for Crosstalk‐Free Wearable Biosensor

材料科学 纳米技术 可穿戴计算机 生物传感器 星团(航天器) 可穿戴技术 纳米孔 杠杆(统计) 共价键 光电子学 催化作用
作者
Shuyu Wang,Dong Liu,Guangyong Zhang,Fengyang Zhao,Fei Gao,Zhenkai Wu,Wenli Wu,Qiongzheng Hu,Sumei Lu
出处
期刊:Advanced Functional Materials [Wiley]
卷期号:36 (36) 被引量:1
标识
DOI:10.1002/adfm.202519091
摘要

ABSTRACT Wearable biosensors leverage nanozymes as stable, cost‐effective alternatives to natural enzymes for continuous health monitoring, yet their nonspecific multi‐enzyme activity often causes false‐positive signals, compromising diagnostic accuracy. To address this, we develop a covalent organic framework nanozyme FeSx@COF, with switchable functions triggered by light irradiation, for tracking antibiotic residues in tears. FeSx@COF initially exhibits specific peroxidase (POD)‐like activity, and switches to oxidase (OXD)‐like behavior under light irradiation. Concurrently, ultrasmall FeSx clusters significantly boost the dual‐enzyme capabilities of the pristine COF. Notably, the resulting OXD activity exhibits superior affinity (0.282 m m ) for 3,3',5,5'‐tetramethylbenzidine (TMB) compared to existing photo‐responsive nanozymes. Systematic mechanistic investigation demonstrates that bandgap engineering through ultrasmall FeSx incorporation significantly improves charge carrier separation. Further, the catalytic process is dominated by axial coordination in OXD reaction, with kinetic studies identifying oxygen protonation as the key rate‐limiting step for the O 2 activation pathway. With high accuracy ( R 2 = 0.995 vs. ELISA) and clinical relevance, FeSx@COF is successfully integrated into wearable patches for noninvasive tear monitoring, demonstrating excellent storage stability (>15 days), in vivo biocompatibility, and continuous readout capability. This work pioneers a spatiotemporally precise nanozyme platform for personalized drug adherence tracking, advancing wearable diagnostics.
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
CCC完成签到,获得积分10
刚刚
FashionBoy应助昏睡的蟠桃采纳,获得10
刚刚
年轻棉花糖完成签到,获得积分10
1秒前
Hello应助xinlulicheng624采纳,获得10
1秒前
正直樱桃发布了新的文献求助10
2秒前
Starry发布了新的文献求助10
2秒前
李健应助小麦采纳,获得10
2秒前
从容的盼晴完成签到,获得积分10
2秒前
开放灭绝发布了新的文献求助10
2秒前
jessicaw完成签到,获得积分0
3秒前
小雨发布了新的文献求助200
3秒前
3秒前
3秒前
3秒前
欢呼涑完成签到,获得积分10
4秒前
xing_xing应助不爱吃香菜采纳,获得20
4秒前
5秒前
5秒前
molihuakai应助Axfl采纳,获得10
6秒前
欢呼涑发布了新的文献求助10
6秒前
6秒前
7秒前
ming完成签到,获得积分10
7秒前
v0id应助大海采纳,获得10
8秒前
IAMXC发布了新的文献求助30
8秒前
开放灭绝完成签到,获得积分10
8秒前
称心乐枫完成签到,获得积分10
9秒前
ming发布了新的文献求助30
10秒前
10秒前
11秒前
DericDeng完成签到 ,获得积分10
11秒前
科研晓熊完成签到 ,获得积分10
12秒前
12秒前
mingquan宋完成签到 ,获得积分10
12秒前
13秒前
正直樱桃完成签到,获得积分10
13秒前
xianlu发布了新的文献求助10
13秒前
coolru应助LY采纳,获得10
14秒前
尊敬凡旋完成签到,获得积分10
15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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
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
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 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 7607684
求助须知:如何正确求助?哪些是违规求助? 9183665
关于积分的说明 19670626
捐赠科研通 7181846
什么是DOI,文献DOI怎么找? 3269869
关于科研通互助平台的介绍 2433616
邀请新用户注册赠送积分活动 2264238