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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Virtual surgical planning in frontofacial advancement using a customized RED II distractor in children with syndromic craniosynostosis and midfacial hypoplasia.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery·2026
Same author

Latent Vitrimeric Reshaping of Polyesters: Capped Amines and N‑Heterocyclic Carbenes as Triggered Catalysts.

Polymer science & technology (Washington, D.C.)·2026
Same author

Flow-cytometric profiling of large extracellular vesicles as immunophenotypic biomarkers in head and neck squamous cell carcinoma.

Cancer immunology, immunotherapy : CII·2026
Same author

Stability and compatibility of resorcin[4]arene hexamer cages with amphiphilic random copolymers in organic solvents.

RSC advances·2026
Same author

PLGA based formulations with poly(2-oxazoline)s for controlled dexamethasone release from thin extrudates.

International journal of pharmaceutics: X·2026
Same author

Customized guided box osteotomies in pediatric patients with orbital hypertelorism.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery·2026

Related Experiment Video

Updated: May 4, 2026

Assembly of Cell Mimicking Supported and Suspended Lipid Bilayer Models for the Study of Molecular Interactions
12:18

Assembly of Cell Mimicking Supported and Suspended Lipid Bilayer Models for the Study of Molecular Interactions

Published on: August 3, 2021

3.2K

Phase changes in mixed lipid/polymer membranes by multivalent nanoparticle recognition.

Adekunle Olubummo1, Matthias Schulz, Regina Schöps

  • 1Chair of Macromolecular Chemistry, Faculty of Natural Sciences II (Chemistry, Physics and Mathematics), Institute of Chemistry, Martin-Luther University Halle-Wittenberg , D-06120 Halle (Saale), Germany.

Langmuir : the ACS Journal of Surfaces and Colloids
|December 24, 2013
PubMed
Summary
This summary is machine-generated.

This study shows how functionalized nanoparticles can selectively remove specific block copolymers from hybrid lipid membranes. This targeted removal can disrupt membrane structure, offering potential pharmaceutical applications.

More Related Videos

Native Cell Membrane Nanoparticles System for Membrane Protein-Protein Interaction Analysis
07:31

Native Cell Membrane Nanoparticles System for Membrane Protein-Protein Interaction Analysis

Published on: July 16, 2020

5.3K
Method to Visualize and Analyze Membrane Interacting Proteins by Transmission Electron Microscopy
10:49

Method to Visualize and Analyze Membrane Interacting Proteins by Transmission Electron Microscopy

Published on: March 5, 2017

12.8K

Related Experiment Videos

Last Updated: May 4, 2026

Assembly of Cell Mimicking Supported and Suspended Lipid Bilayer Models for the Study of Molecular Interactions
12:18

Assembly of Cell Mimicking Supported and Suspended Lipid Bilayer Models for the Study of Molecular Interactions

Published on: August 3, 2021

3.2K
Native Cell Membrane Nanoparticles System for Membrane Protein-Protein Interaction Analysis
07:31

Native Cell Membrane Nanoparticles System for Membrane Protein-Protein Interaction Analysis

Published on: July 16, 2020

5.3K
Method to Visualize and Analyze Membrane Interacting Proteins by Transmission Electron Microscopy
10:49

Method to Visualize and Analyze Membrane Interacting Proteins by Transmission Electron Microscopy

Published on: March 5, 2017

12.8K

Area of Science:

  • Supramolecular Chemistry
  • Materials Science
  • Biophysics

Background:

  • Selective manipulation of membrane components is crucial for biological functions.
  • Amphiphilic block copolymers (BCPs) are incorporated into lipid membranes for various applications.
  • Understanding nanoparticle-membrane interactions is key to controlling membrane properties.

Purpose of the Study:

  • To investigate the selective recognition between multivalent nanoparticles and functionalized block copolymers in hybrid lipid membranes.
  • To demonstrate the controlled removal of specific BCPs from mixed membranes using nanoparticle recognition.
  • To explore the potential of this interaction for modulating membrane permeability and fluidity.

Main Methods:

  • Utilized hybrid membranes composed of lipids (DPPC or DOPC), triazine-functionalized BCPs (TRI-PEO13-b-PIB83), and nonfunctionalized BCPs (PEO17-b-PIB87).
  • Employed CdSe nanoparticles functionalized with thymine (THY) polymer chains for specific recognition via hydrogen bonding.
  • Conducted experiments with giant unilamellar vesicles (GUVs) and mixed monolayers at the air/water interface.

Main Results:

  • THY-functionalized nanoparticles selectively recognized and removed TRI-functionalized BCPs from DPPC-based hybrid vesicles, causing facetation.
  • Removal of BCPs from fluid DOPC-based hybrid vesicles led to membrane rupture.
  • Adsorption experiments confirmed specific NP-BCP 2 interaction at the air/water interface, distinct from nonfunctionalized BCP 1.

Conclusions:

  • Multivalent nanoparticles can selectively target and remove specific block copolymers from hybrid lipid membranes.
  • This selective removal process can induce significant changes in membrane morphology, including rupture.
  • The findings highlight the potential of nanoparticle-mediated recognition for controlling membrane properties in pharmaceutical and biotechnological contexts.