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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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Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
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Microplastic in situ detection based on a portable triboelectric microfluidic sensor.

Abbas Motalebizadeh1, Somayeh Fardindoost1, Julia Jungwirth1

  • 1School of Engineering and Computer Science, University of Victoria, Victoria, BC, V8P 5C2, Canada. mhoorfar@uvic.ca.

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A new microfluidic sensor rapidly detects microplastics (MPs) in water. This device measures MP size and concentration, offering a portable solution for environmental monitoring.

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Area of Science:

  • Environmental Science
  • Materials Science
  • Sensor Technology

Background:

  • Microplastics (MPs) are pervasive environmental pollutants.
  • Current MP detection methods are lab-based and require expertise.
  • There is a need for rapid, field-deployable MP detection tools.

Purpose of the Study:

  • To develop and validate a miniaturized microfluidic triboelectric sensor (M-TES) for rapid microplastic detection.
  • To demonstrate the sensor's capability for in situ measurement of microplastic size and concentration.
  • To assess the sensor's performance with controlled polystyrene particles and real-world water samples.

Main Methods:

  • Fabrication of a miniaturized microfluidic device.
  • Utilizing triboelectric principles to generate electrical signals from flowing microplastics.
  • Flowing water droplets containing microplastics through the microfluidic channel.
  • Measuring the induced electrical charges to correlate with microplastic properties.

Main Results:

  • The M-TES demonstrated a linear response to increasing microplastic size and concentration.
  • The sensor successfully distinguished between microplastics of varying sizes and concentrations.
  • Experimental validation included polystyrene microparticles (500 nm to 10 μm) and coffee machine water samples.

Conclusions:

  • The proposed M-TES offers a viable and versatile method for rapid microplastic detection in water.
  • The sensor's portability and sensitivity make it suitable for in situ environmental monitoring.
  • This technology advances the field of microplastic sensing for ecological assessments.