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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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An Integrated Photonic Biosensing Platform for Pathogen Detection in Aquaculture.

Wout Knoben1, Siegfried Graf2, Florian Borutta3

  • 1Surfix Diagnostics, Agro Business Park 2, 6708 PW Wageningen, The Netherlands.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
Summary

A new photonic biosensing platform offers early detection of aquaculture pathogens. This technology advances pathogen monitoring for sustainable aquaculture and food security.

Keywords:
aquaculturediagnosticsenvironmental monitoringfood safety and qualityhybrid integrationinterferometryoptical biosensorspathogen detectionphotonic structures for sensingpoint-of-need sensors

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Area of Science:

  • Biomedical engineering
  • Aquaculture technology
  • Biosensing

Background:

  • Aquaculture is crucial for global food security, but pathogen outbreaks pose significant risks.
  • Early detection and rapid response to pathogens are vital for sustainable aquaculture.
  • Current monitoring methods may lack the sensitivity or speed required for effective pathogen management.

Purpose of the Study:

  • To develop and demonstrate a miniaturized photonic biosensing platform for aquaculture pathogen detection.
  • To showcase advancements in silicon nitride waveguide technology and hybrid integration.
  • To validate the platform's capability in detecting specific bacterial aquaculture pathogens.

Main Methods:

  • Development of a silicon nitride photonic integrated circuit (PIC) with integrated active components.
  • Wafer-level processes for hybrid integration and material-selective surface modification.
  • Design and development of DNA biomarker assays for bacterial pathogens (Aeromonas salmonicida, Vagococcus salmoninarum, Yersinia ruckeri).
  • Integration of the PIC into a microfluidic cartridge and development of a desktop readout instrument.

Main Results:

  • Successful miniaturization of the PIC and development of scalable integration processes.
  • Identification of DNA biomarkers and development of qPCR assays for three key aquaculture pathogens.
  • First successful demonstration of biosensing for Aeromonas biomarker detection on the hybrid PIC platform.

Conclusions:

  • The developed photonic biosensing platform represents a significant advancement for aquaculture pathogen monitoring.
  • The hybrid PIC technology enables sensitive and rapid detection, crucial for preventing disease outbreaks.
  • This technology holds promise for enhancing the sustainability and biosecurity of the aquaculture sector.