Visual Quantitative Detection of Tumor-Derived Exosomes Based on Catalyzed Decomposition of H <sub>2</sub> O <sub>2</sub> Using a Portable Microchannel Device
Current diagnostic methodologies are predominantly characterized by intricate procedures and reliance on expensive instrumentation, thereby limiting their applicability for point-of-care testing (POCT). In this study, a portable pressure-based visual biosensor (PVB) is developed for rapid and quantitative analysis of tumor-derived exosomes with smartphone assistance for breast cancer diagnosis. CD63 and mucin1 (MUC1) aptamers are employed to recognize exosomal membrane proteins, forming a magnetic bead (MB)-exosome-platinum nanoparticle (PtNP) sandwich complex. Through a simple inversion of the microchannel device, MUC1-positive exosomes can be quantitatively detected by measuring the displacement of the stained substrate, which is positively correlated to the oxygen (O<sub>2</sub>) generated through PtNP-catalyzed decomposition of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>). This strategy enables efficient analysis of MUC1-positive exosomes within 25 min using smartphone imaging, demonstrating a limit of detection (LOD) of 496 particles/μL. Clinical trial results revealed that this method effectively differentiated breast cancer patients from healthy controls, achieving a diagnostic concordance rate of 84.62%. In addition to advantages such as being instrument-free, user-friendly, and lowcost, this technique can be quickly extended and provides a practical approach to the rapid analysis of various biomarkers.
Authors
- Xiaotian Guan (ORCID: https://orcid.org/0009-0003-7779-2763)
- Jianghong Huang (ORCID: https://orcid.org/0000-0002-8168-0081)
- Shuqing Sun (ORCID: https://orcid.org/0000-0001-7906-2885)
- Peizheng Wang
- Jun Zhang (ORCID: https://orcid.org/0000-0002-4379-3616)
- Jianmin Liu (ORCID: https://orcid.org/0000-0001-8978-5972)
- Wenqi Yang
- S. Wang (ORCID: https://orcid.org/0009-0003-6261-2379)
Institutions
- Shenzhen International Travel Health Care Center (CN)
- Shenzhen Second People's Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-12-05
- DOI
- https://doi.org/10.1021/acssensors.5c00605
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00