等离子体子
材料科学
纳米技术
分析物
拉曼光谱
纳米传感器
光电子学
生物传感器
单层
纳米颗粒
纳米团簇
等离子纳米粒子
动态范围
分子识别
硫代乙酰胆碱
纳米光子学
表面增强拉曼光谱
自组装单层膜
纳米生物技术
超晶格
亲和素
显微镜
乙酰胆碱酯酶
原子力显微镜
胶体金
灵敏度(控制系统)
皮秒
化学
作者
Liping Song,Shiqi Jiang,Licheng Huang,Liming Chen,Xu Liu,Ermeng Gong,Nan Yuan,Siqing Jian,Youju Huang
标识
DOI:10.1002/anie.202521361
摘要
Abstract Surface‐enhanced Raman spectroscopy (SERS) enables molecular fingerprinting, but its widespread application is limited by poor detection sensitivity and signal reproducibility due to inefficient analyte retention in hotspots, less than 1 in 100, 000 molecules. To address this, we present a dynamic sensing strategy that actively couples in‐situ analyte recognition with the real‐time formation of plasmonic hotspots. The system integrates a resonant plasmonic nanoparticle superlattice monolayer as a 2D optical cavity and gap‐enhanced Au‐Ag superparticles functionalized with cyclodextrin molecular spacers. Enzymatic recognition of acetylcholinesterase (AChE), a pivotal neurofunctional enzyme, induces the self‐assembly of high‐density nanoparticle‐on‐“superlattice mirror” (NPoSM) nanocavities through competitive host‐guest displacement during acetylthiocholine hydrolysis. This active guidance ensures spatiotemporal synchronization between nanocavity formation, hotspot activation, and target binding. The system achieves high specificity with background‐free, ultrasensitive AChE detection over a 9‐order dynamic range (10 −8 to 10 U/L), offering a restricted detection platform for SERS sensing in molecular diagnostics, neurotoxicity assessment, and environmental monitoring.
科研通智能强力驱动
Strongly Powered by AbleSci AI