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Microbial Biosensors01:17

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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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Racetrack ring resonator-assisted MZI-based integrated optical biosensor with buffer layers for measuring blood

Kamakshi Manchikalapati1, Gopalkrishna Hegde2, Srinivas Talabattula1

  • 1Dept of ECE, Indian Institute of Science, Bengaluru, 560012, India.

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This summary is machine-generated.

This study introduces a novel biosensor for glucose detection, combining racetrack ring resonators and Mach-Zehnder interferometers. It enhances accuracy and sensitivity using silicon nitride or fluorinated silicon dioxide buffer layers.

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Area of Science:

  • Photonics and Biosensing
  • Optical Interferometry
  • Nanomaterials

Background:

  • Accurate glucose detection is crucial for diabetes management.
  • Existing biosensors face challenges in achieving both high sensitivity and accuracy.
  • Mach-Zehnder interferometers (MZI) offer accuracy, while racetrack ring resonators (RRR) provide sensitivity.

Purpose of the Study:

  • To develop a highly sensitive and accurate glucose biosensor.
  • To investigate the impact of buffer layers on biosensor performance.
  • To present a novel two-racetrack ring assisted Mach-Zehnder interferometer (RRAMZI) configuration.

Main Methods:

  • Fabrication of RRAMZI biosensor with silicon nitride (Si3N4) and fluorinated silicon dioxide (FSiO2) buffer layers.
  • Integration of RRR for enhanced sensitivity and MZI for accuracy.
  • Analytical modeling using the signal-flow graph (SFG) method.

Main Results:

  • The Si3N4 buffer layer increased the quality factor to 1.435×10^3 by enhancing resonant depth.
  • The FSiO2 buffer layer improved sensitivity to 400 nm/RIU by enhancing penetration depth.
  • The RRAMZI configuration successfully combined high sensitivity and accuracy for glucose detection.

Conclusions:

  • The RRAMZI configuration with optimized buffer layers offers a promising approach for advanced glucose biosensing.
  • Buffer layer material selection significantly impacts biosensor performance metrics like resonant depth and penetration depth.
  • The developed biosensor demonstrates potential for improved diagnostic tools in healthcare.