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Updated: Mar 12, 2026

Fully Automated Centrifugal Microfluidic Device for Ultrasensitive Protein Detection from Whole Blood
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Photoelectrochemical biosensor constructed using TiO2 mesocrystals based multipurpose matrix for trypsin detection.

Hong Dai1, Sihong Chen1, Yilin Li1

  • 1College of Chemistry and Chemical Engineering, Fujian Normal University, Fuzhou 350108, PR China.

Biosensors & Bioelectronics
|November 13, 2016
PubMed
Summary

A novel photoelectrochemical biosensor detects trypsin using polyethylenimine-sensitized TiO2 and Boron-doped carbon quantum dots. This "on-off-on" system offers high sensitivity for protease monitoring and disease diagnostics.

Keywords:
Boron-doped carbon quantum dotsPhotoelectrochemical biosensorTiO(2) mesocrystalsTrypsin

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Area of Science:

  • Electrochemistry
  • Biosensing
  • Nanomaterials

Background:

  • Trypsin is a key protease implicated in various physiological processes and diseases.
  • Developing sensitive and specific biosensors for trypsin detection is crucial for early disease diagnosis and drug screening.

Purpose of the Study:

  • To establish a photoelectrochemical biosensor for the quantitative detection of trypsin.
  • To utilize polyethylenimine-sensitized TiO2 mesocrystal and Boron-doped carbon quantum dots for signal amplification.

Main Methods:

  • Fabrication of a photoactive matrix using polyethylenimine-sensitized TiO2 mesocrystal.
  • Integration of Boron-doped carbon quantum dots labeled peptide as signal amplification tags.
  • Monitoring changes in photocurrent signal upon trypsin interaction.

Main Results:

  • The biosensor exhibited an "on-off-on" photoelectrochemical response.
  • A wide detection range for trypsin was achieved, from 1x10^-7 mg/mL to 1.0 mg/mL.
  • High sensitivity was demonstrated for trypsin detection.

Conclusions:

  • The developed photoelectrochemical biosensor provides a sensitive and practical method for trypsin quantification.
  • This approach holds promise for monitoring proteases and screening inhibitors for disease diagnosis.