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

Colloids and Suspensions01:17

Colloids and Suspensions

2.5K
Children at play often make suspensions such as mixtures of mud and water, flour and water, or a suspension of solid pigments in water known as tempera paint. These suspensions are heterogeneous mixtures composed of relatively large particles visible to the naked eye or seen with a magnifying glass. They are cloudy, and the suspended particles settle out after mixing. The suspended particles in a suspension settle out after some time of mixing. The separation of particles from a suspension is...
2.5K
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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

509
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...
509
Colloidal precipitates01:09

Colloidal precipitates

935
The high insolubility of some precipitates can result in an unfavorable relative supersaturation. This can lead to colloidal particles with a large surface-to-mass ratio, where adsorption is promoted. For instance, in the precipitation of silver chloride, silver ions are adsorbed on the surface of the colloidal particles, forming a primary layer. This layer attracts ions of opposite charge (such as nitrate ions), forming a diffuse secondary layer of adsorbed ions. This electric double layer...
935
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

1.1K
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...
1.1K
Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

1.1K
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...
1.1K
Colloids03:22

Colloids

18.6K
Children at play often make suspensions such as mixtures of mud and water, flour and water, or a suspension of solid pigments in water known as tempera paint. These suspensions are heterogeneous mixtures composed of relatively large particles that are visible to the naked eye or can be seen with a magnifying glass. They are cloudy, and the suspended particles settle out after mixing. On the other hand, a solution is a homogeneous mixture in which no settling occurs and in which the dissolved...
18.6K

You might also read

Related Articles

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

Sort by
Same author

Interactions of Amphiphilic Janus Nanoparticles with Lipid Monolayers.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

From slit pores to 3D frameworks: Advances in molecular modeling of adsorption in nanoporous carbons.

Advances in colloid and interface science·2025
Same author

Phase Transformations in MOFs Induced by Adsorbate Exchange.

Langmuir : the ACS journal of surfaces and colloids·2025
Same author

Unveiling non-monotonic deformation of flexible MOFs during gas adsorption: From contraction and softening to expansion and hardening.

Journal of colloid and interface science·2025
Same author

Development and Application of an Advanced Percolation Model for Pore Network Characterization by Physical Adsorption.

Langmuir : the ACS journal of surfaces and colloids·2024
Same author

Understanding the origins of reversible and hysteretic pathways of adsorption phase transitions in metal-organic frameworks.

Journal of colloid and interface science·2024

Related Experiment Video

Updated: Oct 13, 2025

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

12.3K

Dissipative particle dynamics simulations in colloid and Interface science: a review.

Kolattukudy P Santo1, Alexander V Neimark1

  • 1Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States.

Advances in Colloid and Interface Science
|November 10, 2021
PubMed
Summary

Dissipative Particle Dynamics (DPD) is a powerful mesoscale method for soft matter. This review covers DPD

Keywords:
Coarse-grained simulationsDissipative particle dynamicsNanoparticlesParameterizationPolymersSurfactants

More Related Videos

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy
13:15

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

Published on: July 18, 2014

11.2K
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

4.7K

Related Experiment Videos

Last Updated: Oct 13, 2025

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

12.3K
Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy
13:15

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

Published on: July 18, 2014

11.2K
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

4.7K

Area of Science:

  • Computational physics and chemistry
  • Soft matter science
  • Materials modeling

Background:

  • Dissipative Particle Dynamics (DPD) is a key mesoscale coarse-grained method.
  • It bridges atomistic and continuum scales for complex systems.
  • Soft matter modeling requires efficient simulation techniques.

Purpose of the Study:

  • To comprehensively review two decades of progress in Dissipative Particle Dynamics (DPD).
  • To highlight advancements in theoretical formulations, parametrization, and applications.
  • To showcase DPD's utility in industrial product design and optimization.

Main Methods:

  • Review of theoretical developments in DPD.
  • Analysis of parametrization strategies for DPD models.
  • Compilation of DPD applications in soft matter systems.

Main Results:

  • DPD has seen significant improvements in computational efficiency and framework modifications.
  • Advanced parametrization techniques enable reproduction of experimental engineering properties.
  • DPD is successfully applied to colloidal, interfacial, and self-assembly phenomena.

Conclusions:

  • DPD is a versatile and efficient tool for modeling soft matter.
  • Parametrization advancements enhance its industrial applicability.
  • Continued development promises broader applications in materials science.