SERS-Nanozyme Cooperative Ag@Lacunary-POM Nanoclusters for Exosome Biosensing
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 Na<sub>7</sub>PW<sub>11</sub>O<sub>39</sub>, 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 NaBH<sub>4</sub> reduction to form Ag@Na<sub>7</sub>PW<sub>11</sub>O<sub>39</sub>, integrating dual SERS enhancement (LOD: 1.66 × 10<sup>-8</sup> M for 4-MBA) and peroxidase-like catalysis via localized surface plasmon resonance (LSPR) and interfacial charge transfer (CT). CD<sub>9</sub> antibody-functionalized Ag@Na<sub>7</sub>PW<sub>11</sub>O<sub>39</sub> selectively captures the exosome through CD<sub>9</sub> transmembrane proteins on microplates. Clinical validation with ovarian/breast cancer patient sera revealed a linear correlation between SERS intensity and exosome concentration (9 × 10<sup>5</sup>-1.78 × 10<sup>8</sup> particles/mL, LOD: 7.73 × 10<sup>5</sup> 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.
Authors
- Qingnan Zhao
- Wei Song (ORCID: https://orcid.org/0000-0001-9814-419X)
- Saizhen Hu
- Wang Fan (ORCID: https://orcid.org/0000-0001-8900-9930)
- Feng Lin (ORCID: https://orcid.org/0000-0003-1740-9032)
Institutions
- Harbin Medical University (CN)
- The University of Texas at Dallas (US)
- Jilin University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
- Jilin Medical University (CN)
- State Key Laboratory of Supramolecular Structure and Materials
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1021/acssensors.5c02773
- Citations
- 5
- Primary Topic
- Advanced Nanomaterials in Catalysis
- Type
- article
- Field-Weighted Citation Impact
- 2.59