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Sensitive Colorimetric Biosensors Based on Perovskite Heterojunction Phototransistors.

Xianchao Yang1, Yihao Qi1,2, Wenjie Chen2

  • 1School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.

Analytical Chemistry
|April 29, 2026
PubMed
Summary

This study introduces a novel biosensor using perovskite heterojunction phototransistors (PHP) for sensitive biomolecule detection. This platform offers high sensitivity and a broad dynamic range, overcoming limitations of traditional colorimetric methods for on-site diagnostics.

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Area of Science:

  • Biomolecule detection
  • Biosensor technology
  • Optoelectronics

Background:

  • Colorimetry is vital for biomolecule detection but limited by bulky equipment and detector performance.
  • Conventional methods hinder miniaturization and on-site rapid detection capabilities.
  • Existing systems face constraints in sensitivity and dynamic range.

Purpose of the Study:

  • To develop a novel colorimetric biosensing platform using perovskite heterojunction phototransistors (PHP).
  • To overcome the limitations of conventional colorimetric analysis for improved sensitivity and miniaturization.
  • To evaluate the biosensing performance for detecting specific biomolecules.

Main Methods:

  • Development of a colorimetric platform based on perovskite heterojunction phototransistors (PHP).
  • Utilizing the signal amplification of three-terminal PHP devices for sensitive absorbance variation detection.
  • Evaluating biosensing performance by detecting human immunoglobulin G (IgG) and glucose.

Main Results:

  • Achieved low detection limits for human immunoglobulin G (IgG) at 0.24 pM and glucose at 25.1 nM.
  • Demonstrated a broad dynamic range spanning 6 orders of magnitude, surpassing conventional systems.
  • PHP biosensor exhibited high specificity, low cost, and ease of operation.

Conclusions:

  • Perovskite heterojunction phototransistors (PHP) offer a promising platform for high-performance biosensing.
  • The developed biosensor overcomes limitations of traditional colorimetric methods.
  • This technology holds potential for healthcare applications and early disease diagnosis.