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

Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

873
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
873
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model

413
Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
413
Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

968
Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
968

You might also read

Related Articles

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

Sort by
Same author

Interface-Engineered Nanohybrid Membranes for Selective Boron Removal from Brackish Water and Seawater Reverse Osmosis Permeate.

Environmental science & technology·2026
Same author

Nanovoid-Enhanced Thin-Film Composite Reverse Osmosis Membranes Using ZIF-67 Nanoparticles as a Sacrificial Template.

ACS applied materials & interfaces·2021
Same author

Continuous UiO-66-Type Metal-Organic Framework Thin Film on Polymeric Support for Organic Solvent Nanofiltration.

ACS applied materials & interfaces·2019
Same author

Polyelectrolyte Translocation through a Tortuous Nanopore.

The journal of physical chemistry. B·2019
Same author

Flow-Induced Translocation of Star Polymers through a Nanopore.

The journal of physical chemistry. B·2019
Same author

Translocation of Star Polyelectrolytes through a Nanopore.

The journal of physical chemistry. B·2019

Related Experiment Video

Updated: Aug 29, 2025

Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
11:34

Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels

Published on: September 8, 2016

10.4K

Dissipative Particle Dynamics Simulation of Nanoparticle Diffusion in a Crosslinked Polymer Network.

Shing Bor Chen1

  • 1Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.

The Journal of Physical Chemistry. B
|September 12, 2022
PubMed
Summary
This summary is machine-generated.

Nanoparticle diffusion in polymer networks is simulated. Rigid networks show lubricity aiding particle slip, while flexible networks hinder hopping due to slower relaxation and longer-lived openings.

More Related Videos

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

8.0K
Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

12.2K

Related Experiment Videos

Last Updated: Aug 29, 2025

Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
11:34

Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels

Published on: September 8, 2016

10.4K
Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

8.0K
Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

12.2K

Area of Science:

  • Polymer Physics
  • Materials Science
  • Computational Chemistry

Background:

  • Understanding nanoparticle diffusion in polymer networks is crucial for designing advanced materials.
  • The interplay between particle size and network mesh size significantly impacts transport phenomena.
  • Crosslinked polymer networks exhibit complex dynamics influencing solute mobility.

Purpose of the Study:

  • To investigate nanoparticle diffusion dynamics within crosslinked polymer networks.
  • To elucidate the roles of excluded-volume and hydrodynamic interactions in nanoparticle transport.
  • To analyze the effect of network flexibility on nanoparticle translocation mechanisms.

Main Methods:

  • Dissipative particle dynamics (DPD) simulations were employed.
  • A bead-spring model was utilized to represent the polymer network.
  • Simulations focused on nanoparticles comparable in size to the network mesh.

Main Results:

  • In rigid networks, excluded-volume and hydrodynamic interactions create lubricity, facilitating particle slip through network openings.
  • Increased network flexibility (lower spring constant, more beads per strand) reduces the hopping mechanism for particle escape.
  • Flexible networks exhibit larger, slower-relaxing cell size fluctuations, leading to longer-lived openings that enhance particle hopping probability.

Conclusions:

  • Nanoparticle diffusion is highly dependent on the mechanical properties and dynamics of the polymer network.
  • Lubricity effects in rigid networks and altered hopping dynamics in flexible networks dictate particle translocation.
  • Simulation results provide insights into designing polymer materials for controlled nanoparticle transport.