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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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MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...

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Related Experiment Video

Updated: Jun 23, 2026

One-day Workflow Scheme for Bacterial Pathogen Detection and Antimicrobial Resistance Testing from Blood Cultures
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Simpler Procedure and Improved Performance for Pathogenic Bacteria Analysis with a Paper-Based Ratiometric

Aayushi Laliwala1, Denis Svechkarev1, Marat R Sadykov2

  • 1Department of Pharmaceutical Sciences, University of Nebraska Medical Center, Omaha, Nebraska 68198-6858, United States.

Analytical Chemistry
|January 24, 2022
PubMed
Summary

A novel paper-based fluorescent sensor array rapidly identifies bacterial species and Gram status with over 90% accuracy. This low-cost diagnostic tool offers a promising solution for clinical applications, especially in resource-limited settings.

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Microbiology

Background:

  • Bacterial infections cause significant global morbidity and mortality, often due to delayed or inaccurate identification.
  • Conventional diagnostic methods are time-consuming, costly, and require specialized resources.
  • Rapid and accurate pathogen identification is crucial for effective treatment.

Purpose of the Study:

  • To develop a rapid, accurate, and cost-effective paper-based sensor for bacterial identification.
  • To create a diagnostic tool suitable for low-resource environments.
  • To improve upon the limitations of traditional bacterial diagnostic techniques.

Main Methods:

  • Fabrication of a paper-based ratiometric fluorescent sensor array using photolithography and environment-sensitive dyes (3-hydroxyflavone derivatives).
  • Interaction of the sensor array with bacterial cell envelopes to generate unique fluorescence response patterns.
  • Analysis of fluorescence patterns using neural networks for bacterial species and Gram status identification.

Main Results:

  • The sensor array achieved over 90% accuracy in identifying 16 bacterial species and their Gram status.
  • The paper-based sensor demonstrated stability for up to 6 months.
  • The developed sensor required 30 times less dye and sample volume compared to solution-based methods.

Conclusions:

  • The paper-based fluorescent sensor array provides a rapid and accurate method for bacterial identification.
  • This technology has the potential for clinical translation, particularly in resource-limited settings.
  • The sensor offers a cost-effective and efficient alternative to conventional diagnostic techniques.