缺函数
纳米团簇
生物传感器
纳米技术
化学
材料科学
生物物理学
生物
数学
纯数学
作者
Qingnan Zhao,Saizhen Hu,Wang Fan,Feng Lin,Bing Zhao,Wei Song
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2025-10-23
标识
DOI:10.1021/acssensors.5c02773
摘要
The detection of cancer-related exosomes is of great significance for the early diagnosis of cancer and the prediction of prognosis. We developed a SERS-based nanozyme-linked immunosorbent assay (NELISA) utilizing lacunary polyoxometalate Na7PW11O39, whose vacancy-induced unsaturated coordination sites enhance Lewis/Brønsted acidity and modulate HOMO-LUMO levels. This electronic restructuring synergizes with Ag nanoparticles (NPs) synthesized via NaBH4 reduction to form Ag@Na7PW11O39, integrating dual SERS enhancement (LOD: 1.66 × 10-8 M for 4-MBA) and peroxidase-like catalysis via localized surface plasmon resonance (LSPR) and interfacial charge transfer (CT). CD9 antibody-functionalized Ag@Na7PW11O39 selectively captures the exosome through CD9 transmembrane proteins on microplates. Clinical validation with ovarian/breast cancer patient sera revealed a linear correlation between SERS intensity and exosome concentration (9 × 105-1.78 × 108 particles/mL, LOD: 7.73 × 105 particles/mL), with signals significantly elevated versus healthy controls. The lacunary POM architecture amplifies plasmon-catalytic synergy while enabling direct biointerface engineering. This NELISA-SERS platform achieves noninvasive, ultrasensitive cancer detection, advancing precision diagnostics and early screening paradigms.
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