多路复用
败血症
费斯特共振能量转移
材料科学
能量转移
纳米技术
计算机科学
临床诊断
鉴定(生物学)
细菌
荧光
生物医学工程
临床实习
多层感知器
荧光团
计算生物学
生物系统
作者
Weiwei NI,Hui Huang,Qiaoyan Yue,Yadan Yuan,Shujun Jiang,Han Liu,Shu-ming Zhang,Wenqi Xiao,Meng Zhang,Yanliang Zhang,Linxian Li,Jinsong Han,Weiwei NI,Hui Huang,Qiaoyan Yue,Yadan Yuan,Shujun Jiang,Han Liu,Shu-ming Zhang,Wenqi Xiao
出处
期刊:ACS Nano
[American Chemical Society]
日期:2025-11-14
卷期号:19 (46): 40061-40071
标识
DOI:10.1021/acsnano.5c14974
摘要
Biomimetic optical sensor arrays hold promising potential in differentiating nuances within intricate mixtures and biosamples. Nonetheless, developing a standalone pattern-generating sensor for multianalyte identification in clinical biofluids, without the necessity of complicated synthesis, presents significant challenges. Here, we introduce a nanosensor-inspired sensor array (NanoSA), composed of a nanoassembly incorporating three sensors, that exhibits multiple intermolecular fluorescence resonance energy transfer (FRET) effects. This pattern-generating nanoassembly, featuring six channels, parallel sensing, and rapid response, identifies 24 septic bacteria within 30 s (96.9% accuracy). Meanwhile, the nanoassembly shows excellent results in discriminating between multiplex bacterial infections, varying concentrations of bacteria, and those in diverse biofluids (serum and urine). Optimized by nine machine learning algorithms, the multilayer perceptron (MLP) model achieved a 97.6% test accuracy in differentiating clinical sepsis samples infected by five distinct bacteria within 30 s, highlighting the potential of the NanoSA as a crucial tool for the rapid clinical diagnosis.
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