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Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

17
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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Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
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A two-stage microresistive pulse immunosensor for pathogen detection.

Yu Han1, Haiyan Wu, Gang Cheng

  • 1Department of Mechanical Engineering, University of Akron, OH, USA. jzhe@uakron.edu.

Lab on a Chip
|January 22, 2016
PubMed
Summary
This summary is machine-generated.

A new immunosensor effectively detects pathogens like S. cerevisiae in mixed samples using magnetic microparticles and a resistive pulse sensor. This technology offers high specificity and accuracy for pathogen quantification in various applications.

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Area of Science:

  • Biomedical Engineering
  • Biosensor Technology
  • Microfluidics

Background:

  • Pathogen detection in mixed populations is challenging due to similar cell sizes and potential for non-specific binding.
  • Accurate and rapid quantification of specific pathogens is crucial for food safety, research, and clinical diagnostics.

Purpose of the Study:

  • To develop and validate a two-stage immunosensor for specific pathogen detection and quantification in complex biological mixtures.
  • To evaluate the capture efficiency and measurement accuracy of the developed immunosensor.

Main Methods:

  • Utilized antibody-conjugated microparticles for magnetic functionalization of a capture chamber surface.
  • Employed a two-stage resistive pulse sensor for detecting and quantifying pathogen cells.
  • Tested capture efficiency using Saccharomyces cerevisiae (S. cerevisiae) and assessed measurement accuracy in mixtures with Chlorella.

Main Results:

  • Achieved specific capture efficiency for S. cerevisiae greater than 94.8% with low non-specific capture (3.4%).
  • Demonstrated accurate measurement of pure S. cerevisiae across concentrations from 1.0 to 8.0 × 10^3 cells/μL.
  • Showed low measurement error (<7%) for S. cerevisiae to Chlorella ratios of 1.0–2.0, with increased error (20–32%) at lower ratios due to non-specific attachment.

Conclusions:

  • The developed two-stage immunosensor effectively isolates target cells and quantitatively measures pathogen populations rapidly.
  • This technology holds significant potential for pathogen detection in the food industry, biological research, and clinical applications.