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A self-cycling and self-verifying electrochemical and colorimetric dual-modal biosensor for oral squamous cell carcinoma (OSCC) saliva detection

  • 0School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, PR China.
Biosensors & Bioelectronics +

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September 18, 2025

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September 18, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

A novel dual-mode biosensor accurately detects oral cancer marker ORAOV1 in saliva. This self-verifying electrochemical and colorimetric tool enhances early oral squamous cell carcinoma (OSCC) diagnosis.

Area Of Science

  • Biomedical Engineering
  • Nanotechnology
  • Cancer Diagnostics

Background

  • Early and precise detection of oral cancer is crucial for improving patient survival rates in oral squamous cell carcinoma (OSCC).
  • Oral cancer overexpression 1 (ORAOV1) is a potential biomarker for OSCC detection.

Purpose Of The Study

  • To develop a self-cycling and self-verifying dual-modal biosensor for sensitive and accurate detection of ORAOV1 in saliva.
  • To combine electrochemical and colorimetric detection methods for enhanced diagnostic accuracy.

Main Methods

  • A fuel-powered DNA nanomachine integrated with gold-platinum nanoparticles (AuPt) and a zirconium-based metal-organic framework (AuPt@UiO-66) was designed.
  • The biosensor utilizes the catalytic properties of AuPt@UiO-66 for signal generation upon ORAOV1 binding.
  • Electrochemical and colorimetric detection channels were established to provide complementary detection modes.

Main Results

  • The electrochemical mode achieved a highly sensitive detection limit of 9.16 aM for ORAOV1.
  • The colorimetric mode offered visual detection, complementing the electrochemical sensitivity.
  • The dual-modal approach demonstrated high accuracy (AUC = 1) in discriminating between cancer patients and healthy individuals, validating each other's signals.

Conclusions

  • The developed dual-modal biosensor offers a promising tool for the early and precise diagnosis of OSCC.
  • The self-verifying nature of the biosensor enhances detection reliability.
  • This technology provides new insights for developing advanced diagnostic strategies for oral cancer.

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