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Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Methodology to Detect Biological Particles Using a Biosensing Surface Integrated in Resistive Pulse Sensing.

Yukichi Horiguchi1, Norihiko Naono2, Osamu Sakamoto2

  • 1Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University (TMDU), 2-3-10 Kanda-Surugadai, Chiyoda, Tokyo 101-0062, Japan.

ACS Applied Materials & Interfaces
|April 21, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new biosensing method using polydopamine (PD) surfaces with resistive pulse sensing (RPS) to detect influenza A virus (H1N1). The PD-based biosensor effectively extended virus translocation times, indicating specific binding and enabling particle detection.

Keywords:
biosensormachine learningpolydopamineresistive pulse sensingvirus

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Area of Science:

  • Nanotechnology
  • Biotechnology
  • Analytical Chemistry

Background:

  • Resistive pulse sensing (RPS) offers individual particle analysis based on physical characteristics.
  • Integrating RPS with biosensing presents opportunities for detecting biological particles like viruses and bacteria.
  • Polydopamine (PD), inspired by mussel adhesive proteins, provides a versatile intermediate layer for fabricating biosensing surfaces due to its broad adhesion properties.

Purpose of the Study:

  • To investigate a novel biosensing methodology utilizing polydopamine (PD) for resistive pulse sensing (RPS).
  • To demonstrate the detection of human influenza A virus (H1N1 subtype) using a PD-based biosensor surface.
  • To evaluate the effectiveness of specific ligand immobilization on the sensing surface for enhancing particle detection.

Main Methods:

  • Fabrication of a biosensing surface using polydopamine (PD) as an intermediate layer.
  • Utilizing resistive pulse sensing (RPS) to monitor particle translocation through a pore membrane.
  • Immobilizing virus-specific ligands (6'-sialyllactose) onto the pore surface to capture H1N1 virus particles.
  • Applying machine learning algorithms to differentiate virus translocation processes on various pore surfaces.

Main Results:

  • Immobilization of 6'-sialyllactose significantly extended the translocation time of H1N1 virus particles through the PD-coated pore membrane.
  • Analysis of translocation data indicated specific interactions between the immobilized ligands and viral particles, leading to particle trapping.
  • Machine learning successfully distinguished virus translocation events on different pore surfaces, highlighting the system's analytical capabilities.
  • The polydopamine-based biosensor surface demonstrated effectiveness and versatility for advanced RPS measurements.

Conclusions:

  • The developed polydopamine-based biosensor surface is a simple, versatile, and effective platform for resistive pulse sensing applications.
  • This advanced RPS measurement system shows promise as an analytical technique for detecting and characterizing biological particles, such as viruses.
  • The specific immobilization of ligands on PD surfaces enhances the detection sensitivity and specificity of the biosensing system.