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Related Experiment Video

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Attaching Biological Probes to Silica Optical Biosensors Using Silane Coupling Agents
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Paper based colorimetric biosensing platform utilizing cross-linked siloxane as probe.

Miao Zhou1, Minghui Yang1, Feimeng Zhou2

  • 1Key Laboratory of Resources Chemistry of Nonferrous Metals, Ministry of Education, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.

Biosensors & Bioelectronics
|December 24, 2013
PubMed
Summary
This summary is machine-generated.

A novel paper-based colorimetric biosensor using cross-linked siloxane 3-aminopropyltriethoxysilane (APTMS) and glutaraldehyde (GA) enables visual detection of hydrogen peroxide (H2O2), glucose, and prostate-specific antigen (PSA). This low-cost platform offers potential for point-of-care diagnostics.

Keywords:
3-aminopropyltriethoxysilaneBiosensingColorimetricPaperPoint-of-care

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Biotechnology

Background:

  • Paper-based analytical devices (PADs) offer a low-cost platform for diagnostics.
  • Modifying filter paper with siloxanes like 3-aminopropyltriethoxysilane (APTMS) is crucial for developing sensitive biosensors.
  • Cross-linking APTMS with glutaraldehyde (GA) creates a stable colorimetric probe.

Purpose of the Study:

  • To develop a versatile paper-based colorimetric biosensing platform.
  • To enable the detection of hydrogen peroxide (H2O2), glucose, and prostate-specific antigen (PSA).
  • To explore the potential of this sensor for point-of-care applications.

Main Methods:

  • Modification of filter paper with cross-linked APTMS-GA complex for H2O2 detection via colorimetry.
  • Immobilization of glucose oxidase (GOx) for glucose detection through H2O2 generation.
  • Immobilization of anti-PSA antibodies and GOx-labeled gold nanorods for PSA detection.

Main Results:

  • The APTMS-GA complex showed a distinct color change upon reaction with H2O2.
  • Quantitative detection of H2O2 was achieved by monitoring color intensity using Image J software.
  • Successful detection of glucose and PSA was demonstrated using enzyme and antibody immobilization strategies.
  • The sensor exhibited a wide linear range for various analytes.

Conclusions:

  • The developed paper-based sensor is effective for detecting multiple analytes including H2O2, glucose, and PSA.
  • The low cost and simplicity of the platform make it suitable for point-of-care testing.
  • This biosensing approach holds significant potential for diverse diagnostic applications.