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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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Thread-Based Bienzymatic Biosensor for Linoleic Acid Detection.

Jacopo Giaretta1, Farshad Oveissi1, Sina Naficy1,2

  • 1School of Chemical and Biomolecular Engineering, and the Centre for Advanced Food Engineering, The University of Sydney, Sydney, NSW 2006, Australia.

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|October 28, 2024
PubMed
Summary
This summary is machine-generated.

A novel cotton thread sensor detects linoleic acid, a key biomarker for metabolic disorders and food quality. This low-cost, portable device offers sensitive and selective nonesterified fatty acid (NEFA) detection for medical and food applications.

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Area of Science:

  • Biomedical Engineering
  • Biosensors
  • Analytical Chemistry

Background:

  • Nonesterified fatty acids (NEFAs) are crucial biomarkers for metabolic disorders and food quality assessment.
  • Current detection methods face challenges in portability, scalability, and cost-effectiveness.
  • Early identification of NEFAs is vital for medical diagnosis and food quality control.

Purpose of the Study:

  • To develop a portable and cost-effective sensor for detecting nonesterified fatty acids (NEFAs).
  • To demonstrate the viability of a bienzymatic sensor using cotton thread for linoleic acid detection.
  • To achieve sensitive and selective detection of linoleic acid in biological and food samples.

Main Methods:

  • Fabrication of a chemiresistive sensor using cotton thread functionalized with poly(3,4-ethylenedioxythiophene):polystyrenesulfonate (PEDOT:PSS).
  • Integration of enzymes horseradish peroxidase (HRP) and lipoxygenase (LOX) into the PEDOT:PSS/cotton thread matrix.
  • Utilizing the specific enzymatic reaction of lipoxygenase (LOX) with linoleic acid for detection.

Main Results:

  • Achieved a sensitive detection range for linoleic acid from 161 nM to 16.1 μM.
  • Demonstrated exceptional selectivity for linoleic acid, even in the presence of other unsaturated fatty acids.
  • The PEDOT:PSS/HRP/LOX system integrated into a single thread showed high performance.

Conclusions:

  • The cotton thread-based bienzymatic sensor is a viable platform for sensitive and selective linoleic acid detection.
  • This technology offers a promising low-cost, portable solution for NEFA monitoring in medical and food industries.
  • The developed system can be adapted for detecting other polyunsaturated fatty acids and complex biomolecules.