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A feasibility study of a leaky waveguide aptasensor for thrombin.

Nasser A Alamrani1, Gillian M Greenway1, Nicole Pamme1

  • 1Department of Chemistry and Biochemistry, University of Hull, Hull, HU6 7RX, UK. n.a.alamrani@2014.hull.ac.uk g.m.greenway@hull.ac.uk n.pamme@hull.ac.uk.

The Analyst
|September 17, 2019
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Summary

This study presents a novel leaky waveguide (LW) aptasensor for detecting thrombin. This biosensor utilizes aptamers immobilized in chitosan, offering a viable alternative for point-of-care diagnostics.

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Area of Science:

  • Biomedical Engineering
  • Biosensor Technology
  • Materials Science

Background:

  • Thrombin detection is crucial for diagnosing and monitoring coagulation disorders.
  • Existing thrombin assays have limitations in whole blood analysis and antibody stability.
  • Aptamers offer a stable and selective alternative to antibodies for thrombin detection.

Purpose of the Study:

  • To demonstrate the feasibility of a leaky waveguide (LW) aptasensor for thrombin detection.
  • To evaluate the performance of aptamers immobilized in a mesoporous chitosan film as bioreceptors.
  • To establish a cost-effective and robust biosensor for point-of-care diagnostics.

Main Methods:

  • Immobilization of aptamers in a mesoporous chitosan waveguiding film.
  • Development of a leaky waveguide (LW) biosensor platform.
  • Kinetic analysis of aptamer-thrombin binding using initial binding rates.
  • Validation with spiked serum samples.

Main Results:

  • Aptamers immobilized in chitosan hydrogels retained their affinity and selectivity for thrombin.
  • The LW aptasensor achieved a limit of detection of approximately 22 nM for thrombin.
  • The sensor demonstrated reliable performance in spiked serum samples, with a reading of 46.1 ± 4.6 nM for 50 nM thrombin.

Conclusions:

  • Leaky waveguide (LW) aptasensors are feasible for thrombin detection.
  • Aptamers are effective bioreceptors in hydrogel matrices for biosensing applications.
  • The proposed LW aptasensor offers a robust, low-cost, and attractive solution for point-of-care diagnostics and healthcare monitoring.