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Related Concept Videos

Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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

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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...
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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...
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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
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Modeling the Tablet Disintegration Process Using the Finite Difference Method.

Chi So1, Ajit S Narang1, Chen Mao1

  • 1Small Molecule Pharmaceutical Sciences, Genentech, Inc., South San Francisco, CA 94080, United States.

Journal of Pharmaceutical Sciences
|July 7, 2021
PubMed
Summary
This summary is machine-generated.

The finite difference method (FDM) models pharmaceutical mass transport, like tablet disintegration, by simulating water uptake and disintegration dynamics. This approach provides detailed spatial-temporal insights, enhancing understanding of drug delivery processes.

Keywords:
DiffusionFinite difference methodModelingSimulationTabletTablet disintegration

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Area of Science:

  • Pharmaceutical Sciences
  • Computational Modeling
  • Chemical Engineering

Background:

  • Mass transport phenomena are critical in pharmaceutical processes, influencing drug efficacy and delivery.
  • Modeling diffusion accurately is essential for understanding complex systems like tablet disintegration.
  • Traditional methods often lack detailed spatial-temporal resolution for dynamic processes.

Purpose of the Study:

  • To introduce the finite difference method (FDM) for modeling pharmaceutically relevant mass transport.
  • To demonstrate FDM's application in simulating tablet disintegration processes.
  • To highlight FDM's capability in providing detailed spatial-temporal data.

Main Methods:

  • FDM was applied by creating a mesh and discretizing space and time.
  • Fick's second law of diffusion was solved numerically at each node.
  • Tablet disintegration was simulated by modeling water uptake and a critical water content threshold.

Main Results:

  • FDM simulations accurately replicated experimental tablet disintegration behaviors.
  • The model captured both disintegration-controlled and water uptake-controlled conditions.
  • FDM provided unprecedented spatial-temporal data on water uptake and tablet geometry evolution.

Conclusions:

  • FDM is a powerful tool for in-depth analysis of tablet disintegration.
  • The method offers unique advantages in visualizing dynamic changes during disintegration.
  • FDM has potential for integration into tablet formulation design of experiments (DoE).