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: The Danckwerts' Model and Interfacial Barrier Model01:09

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

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 concentration...
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

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...
In Vitro Drug Dissolution: Compendial Testing Models I01:13

In Vitro Drug Dissolution: Compendial Testing Models I

Compendial dissolution methods are standardized procedures defined by pharmacopeias to evaluate the rate at which a drug dissolves in a specific medium. These methods ensure batch-to-batch consistency, enable quality control, and support the prediction of drug bioavailability. They are critical for both immediate and modified-release drug products.The apparatuses used for dissolution testing differ in their design and mechanical function, but all aim to simulate the physiological environment of...
In Vitro Drug Dissolution: Compendial Testing Models II01:09

In Vitro Drug Dissolution: Compendial Testing Models II

Various dissolution methods are utilized to assess a drug’s dissolution rate, including the flow-through cell, paddle-over-disk, cylinder, and reciprocating disk methods.The flow-through cell apparatus (USP (United States Pharmacopeia) method 4) comprises a reservoir for the dissolution medium and a pump that propels the medium through the cell containing the test sample. This method is crucial for assessing modified-release dosage forms with minimally soluble active ingredients, maintaining...
Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

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 employed to...
In Vitro Drug Dissolution: Alternative Methods01:17

In Vitro Drug Dissolution: Alternative Methods

Alternative drug dissolution methods include the rotating bottle, intrinsic dissolution test, peristalsis, and the Franz diffusion cell method. The rotating bottle method involves meticulously rotating tightly capped controlled-release beads in a temperature-controlled bath. Periodic decanting of samples allows for residue assay, followed by refilling with fresh medium and testing at various pH levels to emulate the gastrointestinal tract conditions.In contrast, the intrinsic dissolution test...

You might also read

Related Articles

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

Sort by
Same author

Evaluation of a Novel Flexible Cage System for C5-C6 Fixation: A Finite Element Study Against Conventional ACDF Implants.

Bioengineering (Basel, Switzerland)·2026
Same author

Lipid Corona Formation on Iron Oxide Nanoparticles: Machine Learning-Based Identification of Causal Lipidomic Properties.

ACS applied materials & interfaces·2026
Same author

Compacted solid implant formulations for long-term buprenorphine delivery.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Editorial: Integrated diagnostics and biomarker discovery in endocrinology and biomedical sciences, volume II.

Frontiers in endocrinology·2025
Same author

Machine Learning Prediction of Protein Adsorption on Drug-delivering Nanoparticles: A Literature Survey and Need for Future Development.

Pharmaceutical research·2025
Same author

Recent advances in polymer-based drug delivery systems for atopic dermatitis: enhancing therapeutic efficacy and outcomes.

Materials today. Bio·2025

Related Experiment Video

Updated: May 22, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Multiscale Dissolution Simulation of Particles from a Tablet in Dissolution Apparatus by Coupling Discrete Element

Yue Li1, Peng Hou1, Lei Xing2

  • 1Department of Industrial and Molecular Pharmaceutics, Purdue University, 575 Stadium Mall Dr., West Lafayette, IN, 47907, USA.

Pharmaceutical Research
|May 20, 2026
PubMed
Summary

A new physics-based simulation framework accurately predicts tablet dissolution kinetics under realistic conditions. This tool aids in pharmaceutical manufacturing, quality control, and process development for improved drug delivery.

Keywords:
DisintegrationDissolutionDrug dissolution kineticsLBM-DEM couplingParticle dynamicsUSP apparatus II

More Related Videos

Precise Electrochemical Sizing of Individual Electro-Inactive Particles
05:03

Precise Electrochemical Sizing of Individual Electro-Inactive Particles

Published on: August 4, 2023

Related Experiment Videos

Last Updated: May 22, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Precise Electrochemical Sizing of Individual Electro-Inactive Particles
05:03

Precise Electrochemical Sizing of Individual Electro-Inactive Particles

Published on: August 4, 2023

Area of Science:

  • Pharmaceutical Science
  • Computational Fluid Dynamics
  • Particle Mechanics

Background:

  • Tablet dissolution is critical for drug efficacy and manufacturing quality.
  • Accurate prediction of dissolution kinetics under hydrodynamic stress is essential for process optimization.

Purpose of the Study:

  • To develop and validate a simulation framework for predicting tablet dissolution kinetics.
  • To enable accurate modeling under realistic hydrodynamic conditions for pharmaceutical development.

Main Methods:

  • Coupled Lattice Boltzmann Method (LBM) for fluid dynamics and Discrete Element Method (DEM) for particle mechanics.
  • Modeling dissolution of drug particles within a tablet in USP Apparatus II.
  • Validation against single-particle dissolution experiments and scaling to tablet-level simulations.

Main Results:

  • The LBM-DEM framework successfully reproduced hydrodynamics and particle dynamics.
  • The model demonstrated fidelity when scaled from single-particle to tablet-level simulations.
  • Accurate prediction of tablet dissolution under compendial hydrodynamic conditions was achieved.

Conclusions:

  • The physics-based framework provides a robust tool for predicting tablet dissolution.
  • It supports pharmaceutical process development and quality control.
  • Future work can incorporate particle swelling and breakage for comprehensive modeling.