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Microbial Biosensors01:17

Microbial Biosensors

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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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A Multi-detection Assay for Malaria Transmitting Mosquitoes
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Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria Diagnosis.

Talia Tene1, Yesenia Cevallos2,3, Paola Gabriela Vinueza-Naranjo3,4

  • 1Department of Chemistry, Universidad Técnica Particular de Loja, Loja 110160, Ecuador.

Sensors (Basel, Switzerland)
|April 12, 2025
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Summary

This study introduces a novel black phosphorus surface plasmon resonance (SPR) biosensor for malaria detection. This advanced sensor demonstrates high sensitivity and accuracy for early malaria diagnosis, improving disease management.

Keywords:
Kretschmann configurationbiosensorsblack phosphorousmalariasilicon nitridesurface plasmon resonancetransfer matrix method

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Area of Science:

  • Nanotechnology
  • Biomedical Engineering
  • Plasmonics

Background:

  • Malaria remains a significant global health challenge, necessitating advanced diagnostic tools.
  • Current diagnostic methods often lack the sensitivity or specificity required for early detection.
  • Surface Plasmon Resonance (SPR) biosensors offer potential for label-free biomolecular detection.

Purpose of the Study:

  • To develop and optimize a highly sensitive black phosphorus-based SPR biosensor for malaria detection.
  • To enhance molecular recognition and signal amplification for improved diagnostic accuracy.
  • To evaluate the sensor's performance across different stages of malaria progression.

Main Methods:

  • Integration of black phosphorus, silicon nitride (Si3N4), and single-stranded DNA (ssDNA) into an SPR biosensor platform.
  • Numerical simulations were employed to optimize critical sensor parameters, including metal and dielectric layer thicknesses, and black phosphorus layer count.
  • Performance evaluation involved assessing resonance shift, signal attenuation, and biomolecular interaction enhancement.

Main Results:

  • The optimized system (Opt-Sys4) achieved high sensitivity (464.4°/RIU for early-stage malaria) and improved detection accuracy.
  • The biosensor demonstrated clear resonance shifts and increased signal attenuation across malaria progression stages.
  • Key performance metrics, including figure of merit and limit of detection, confirmed superior performance compared to conventional SPR sensors.

Conclusions:

  • The developed black phosphorus-based SPR biosensor represents a promising platform for sensitive and specific malaria detection.
  • This technology has the potential to significantly improve early malaria diagnosis, particularly in resource-limited settings.
  • Further development could lead to enhanced disease management strategies and improved patient outcomes.