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Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor
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Well-designed dopamine-imprinted polymer interface for selective and quantitative dopamine detection among

Taira Kajisa1, Wei Li2, Tsuyoshi Michinobu2

  • 1PROVIGATE Inc., The University of Tokyo Entrepreneur Plaza, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.

Biosensors & Bioelectronics
|August 12, 2018
PubMed
Summary

This study presents a novel biosensor for detecting dopamine (DA). The field-effect transistor (FET) biosensor uses a specialized polymer to selectively and quantitatively measure dopamine levels.

Keywords:
CatecholamineDopamineField-effect transistorMolecularly imprinted polymerSurface-initiated atom transfer radical polymerization

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Area of Science:

  • Electrochemistry
  • Materials Science
  • Biomedical Engineering

Background:

  • Accurate detection of dopamine is crucial for neurological research and diagnostics.
  • Existing methods for dopamine detection often face challenges with selectivity and sensitivity.
  • Development of advanced biosensors is needed to overcome these limitations.

Purpose of the Study:

  • To develop a highly selective and quantitative biosensor for dopamine detection.
  • To utilize molecularly imprinted polymers (MIPs) for enhanced dopamine recognition.
  • To integrate the MIP with a field-effect transistor (FET) for sensitive potentiometric detection.

Main Methods:

  • Synthesized a dopamine-templated molecularly imprinted polymer (DA-MIP) on a FET gate electrode.
  • Controlled DA-MIP thickness using surface-initiated atom transfer radical polymerization (SI-ATRP).
  • Incorporated vinylphenylboronic acid (vinyl-PBA) for charge induction via dopamine binding.

Main Results:

  • The DA-MIP-coated FET biosensor demonstrated significant surface potential changes in response to dopamine concentrations from 40 nM to 20 μM.
  • A non-imprinted polymer (NIP)-coated FET showed minimal response, confirming the selectivity of the DA-MIP.
  • Kinetic and electrochemical analyses confirmed selective and quantitative detection of dopamine over other catecholamines.

Conclusions:

  • The developed DA-MIP-coated FET biosensor offers a promising platform for selective and quantitative dopamine detection.
  • The biointerface design effectively enhances the sensitivity and specificity of the potentiometric biosensor.
  • This technology has potential applications in neuroscience and clinical diagnostics requiring dopamine monitoring.