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Abstract

Extracellular vesicles (EVs), and in particular exosomes, play an important role in intercellular communication and can be found in biological fluids. Inevitably, EVs have emerged as promising biomarkers for cancer diagnosis. Detecting EVs in urine is less invasive than blood. However, reliable EV quantitation in urine is still challenging due to low EV concentration and lack of standardisation. Herein, we introduce a capacitance-based electrochemical biosensor for two EV markers, CD63 and prostate-specific membrane antigen (PSMA) – the former being a generic marker present in all exosomes and the latter a prostate cancer (PCa) marker. Integrating a capacitance technique (non-Faradaic impedance) provides highly sensitive and reagent-free technique capabilities ideal for point-of-care diagnosis. For the sensor fabrication, both thiolated CD63 and PSMA aptamers were self-assembled on reduced graphene oxide and molybdenum disulfide (rGO/MoS 2) modified screen-printed carbon electrodes (SPCE). The results can be obtained in 10 min using 10 μL from EVs isolated sample. Under optimal conditions, the associated PSMA and CD63 detection limits are 4.83 × 10 2 and 1.47 × 10 3 EV/μL, respectively, without any additional signal amplification steps. To validate the sensor, urinary EV samples were analysed using the sensor. The results showed a strong correlation with a commercial PSMA ELISA. Additionally, the PSMA/urine creatinine (uCRE) level can differentiate between PCa patients from healthy controls, indicating its applicability as a non-invasive diagnosis tool. Overall, the developed sensor provides a simple, fast, reagent-free, and more reliable detection technique for urinary EVs detection to improve PCa diagnosis.

Original languageEnglish
Article number117791
JournalBiosensors and Bioelectronics
Volume288
Early online date16 Jul 2025
DOIs
Publication statusPublished - 15 Nov 2025

Data Availability Statement

Data will be made available on request.

Funding

Khageephun Permpoka gratefully acknowledges the financial support from the National Research Council of Thailand (NRCT) through the Royal Golden Jubilee PhD Program (Grant No. NRCT5-RGJ63001\u2013002) and the Second Century Fund (C2F), Chulalongkorn University. Funding support by the 90th Anniversary of Chulalongkorn University Fund (Ratchadaphiseksomphot Endowment Fund) is kindly acknowledged. The authors thank Sadeka Nujhat for training on nanoparticle tracking analysis (NTA).

FundersFunder number
Sadeka Nujhat
Chulalongkorn University
Second Century Fund
National Research Council of ThailandNRCT5-RGJ63001–002

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Capacitance
    • Exosome biosensor
    • PSMA
    • Prostate cancer
    • rGO/MoS

    ASJC Scopus subject areas

    • Biotechnology
    • Biophysics
    • Biomedical Engineering
    • Electrochemistry

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