Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Poly(ethylene glycol) gradient for biochip development.

Andréas Larsson1, Bo Liedberg

  • 1Division of Sensor Science and Molecular Physics, Department of Physics, Chemistry and Biology, Linköping University, SE-581 83 Linköping, Sweden.

Langmuir : the ACS Journal of Surfaces and Colloids
|September 29, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Characterization of phosphorous impurities originating from the synthesis of Sarin.

Journal of chromatography. A·2026
Same author

Advancement in statistical modelling of chemical impurity profiles in forensic science.

Talanta·2026
Same author

Analysis of ligand recognition by choline O-acetyltransferase reveals thiol-reactive assay interference and weak ligand affinity in solution.

The Journal of biological chemistry·2026
Same author

Validating the Swedish STOP-D: a brief tool for depression, anxiety, stress, anger and social support.

Frontiers in psychology·2026
Same author

Field and laboratory perspectives on fentanyl and carfentanil decontamination.

Scientific reports·2024
Same author

A Miniaturized Method for Evaluating the Dynamic Gas-Phase Adsorption and Degradation of Sarin on Porous Adsorbents at Different Humidity Levels.

ACS omega·2024

Researchers developed a novel poly(ethylene glycol) (PEG) gradient matrix for biosensor design. This method creates a thickness gradient, enabling controlled protein immobilization and offering crucial insights into matrix properties.

Area of Science:

  • Materials Science
  • Biotechnology
  • Surface Chemistry

Background:

  • Developing functionalized surfaces is critical for biosensor applications.
  • Poly(ethylene glycol) (PEG) based materials offer biocompatibility and tunable properties.
  • Gradient materials allow for the study of property-dependent performance in a single sample.

Purpose of the Study:

  • To present a novel method for creating a poly(ethylene glycol) (PEG)-based gradient matrix with a thickness varying from 0 to 500 Å.
  • To investigate the structural and functional characteristics of the fabricated gradient matrix.
  • To assess the immobilization of model proteins of different sizes and shapes onto the gradient matrix.

Main Methods:

  • Graft copolymerization of PEG methacrylates onto organic thin films (cycloolefin polymer or self-assembled monolayer on gold) via UV irradiation.

Related Experiment Videos

  • Creation of a thickness/irradiation gradient using a moving shutter.
  • Characterization using ellipsometry and grazing angle infrared reflection-absorption microscopy.
  • Evaluation of protein immobilization with varying protein sizes and shapes.

    • Main Results:

    • A gradient matrix with a thickness profile from 0 to 500 Å was successfully produced.
    • Homogeneous activation was observed throughout the gradient, even in thicker regions.
    • Diffusion and immobilization of larger proteins were partially hindered, providing insights into biosensor design.
    • A bushlike polymer structure with some cross-linking was suggested based on observed properties.

    Conclusions:

    • The developed PEG gradient matrix is a valuable tool for studying surface property effects in biosensor design.
    • The method allows for efficient characterization of matrix behavior with different biomolecules.
    • Understanding protein diffusion limitations is crucial for optimizing biosensor performance.