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Liquid crystal-based biosensor with backscattering interferometry: A quantitative approach.

Mashooq Khan1, Soo-Young Park1

  • 1Department of Polymer Science & Engineering, Polymeric Nanomaterials Laboratory, School of Applied Chemical Engineering, Kyungpook National University, #1370 Sangyuk-dong, Buk-gu, Daegu 41566, Republic of Korea.

Biosensors & Bioelectronics
|September 27, 2016
PubMed
Summary
This summary is machine-generated.

We developed a novel biosensor using liquid crystals and backscattering interferometry for precise glucose detection. This technology offers sensitive, quantitative measurements with a low detection limit, suitable for practical applications.

Keywords:
BiosensorFringeGlucoseLaser interferometerLiquid crystal

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Area of Science:

  • Biosensing technologies
  • Liquid crystal applications
  • Interferometry techniques

Background:

  • Traditional nematic liquid crystal (NLC)-based biosensors rely on subjective texture reading for signal detection.
  • Quantitative and sensitive detection methods are needed for NLC biosensors.

Purpose of the Study:

  • To develop a quantitative measurement technology for NLC-based biosensors using backscattering interferometry (BSI).
  • To enable sensitive and selective glucose detection using a functionalized NLC biosensor.

Main Methods:

  • Fabrication of an NLC-based biosensor within an OTS-coated capillary using 5CB liquid crystal.
  • Immobilization of glucose oxidase (GOx) and horseradish peroxidase (HRP) enzymes onto a poly(acrylic acid-b-4-cyanobiphenyl-4'-oxyundecylacrylate) (PAA-b-LCP) coating.
  • Utilizing BSI to detect changes in LC orientation caused by enzymatic glucose reactions via laser irradiation and photodetector signal analysis.

Main Results:

  • The developed biosensor achieved a low detection limit of 0.008mM for glucose.
  • A wide linear detection range of 0.02-9mM was observed with a rapid response time of approximately 60 seconds.
  • The backscattering interferometry method provided high-contrast fringes, enabling precise measurement of LC orientation changes.

Conclusions:

  • The LC-based BSI technique offers a quantitative, sensitive, selective, and reproducible method for glucose detection.
  • The biosensor demonstrates potential for practical applications, including analysis of human serum, due to its wide dynamic range and interference-free performance.