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

Drug diffusion from polymer core-shell nanoparticles.

Gavin A Buxton1, Nigel Clarke1

  • 1Department of Chemistry, University of Durham, Durham, UKDH1 3LE. nigel.clarke@durham.ac.uk.

Soft Matter
|September 9, 2020
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

Testing the Langer-Bar-on-Miller-Akcasu Equation for the Time Evolution of the Structure Factor during Polymeric Spinodal Decomposition and Dissolution.

Macromolecules·2026
Same author

Structure, Conformations, and Diffusion in PDMS/Silica Nanocomposites via Atomistic MD Simulations.

Macromolecules·2026
Same author

Modeling the time evolution of the structure factor during polymeric spinodal decomposition using dynamic mode decomposition.

The Journal of chemical physics·2025
Same author

Modeling photo-generated charge extraction in bulk heterojunction nanoparticles.

Soft matter·2024
Same author

Thermodynamics of Highly Interacting Blend PCHMA/dPS by TOF-SANS.

Macromolecules·2023
Same author

Correction: Migration of nanoparticles across a polymer-polymer interface: theory and simulation.

Soft matter·2023
Same journal

Nanopore sequencing with proteins: synchronization and dischronization of molecular dynamics simulations with laboratory and industrial developments.

Soft matter·2026
Same journal

Catanionics from biosurfactants and regular surfactants: miscibility and structure.

Soft matter·2026
Same journal

Adhesives with a thickness smaller than the fractocohesive length enhance adhesion.

Soft matter·2026
Same journal

Non-equilibrium phase transitions in hybrid Voronoi models of cell colonies.

Soft matter·2026
Same journal

Effects of methoxy substituents on self-assembly and gelation performance of benzamide-based organogelators.

Soft matter·2026
Same journal

Rheology of <i>Escherichia coli</i> suspensions with various bacterial morphologies and motion characteristics.

Soft matter·2026
See all related articles

Computer simulations reveal how polymer core-shell nanoparticles release drugs. Shell swelling, influenced by pH, controls drug diffusion rates, offering targeted delivery potential.

Area of Science:

  • Materials Science
  • Biomedical Engineering
  • Computational Chemistry

Background:

  • Polymer core-shell nanoparticles offer tunable drug delivery.
  • Shell properties can be engineered for specific release profiles.
  • pH-responsive polymer gels are promising for targeted drug release.

Purpose of the Study:

  • To investigate drug diffusion from polymer core-shell nanoparticles using computer simulations.
  • To analyze the impact of shell swelling on drug release rates.
  • To explore physical and chemical barriers affecting drug release.

Main Methods:

  • Utilized computer simulations to model nanoparticle deformation.
  • Employed structural and fluid dynamics simulations.
  • Incorporated enthalpic interactions to study release barriers.

Related Experiment Videos

Main Results:

  • Shell swelling significantly influences drug diffusion rates.
  • Expanding shells create more space, enhancing drug release.
  • Identified physical and chemical factors governing drug release.

Conclusions:

  • Computer simulations effectively capture the physics of polymer core-shell nanoparticles for drug delivery.
  • Shell swelling is a key mechanism for controlling targeted drug release.
  • Understanding these interactions is crucial for designing advanced drug delivery systems.