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Rate-programmed drug delivery systems (DDS) are designed to release drugs at specific, controlled rates to maintain consistent therapeutic levels. These systems are categorized based on their release mechanisms, including dissolution-controlled DDS, diffusion-controlled DDS, and combined dissolution-diffusion-controlled DDS.In dissolution-controlled DDS, the release rate depends on the slow dissolution of the drug itself or the surrounding matrix. Drugs with inherently slow dissolution rates,...
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Drug release from modified-release dosage forms is designed to achieve specific therapeutic effects by controlling the rate and extent of drug release. The classification of these drug release systems is based on key pharmacokinetic assumptions: drug disposition follows first-order kinetics, drug release is the rate-limiting step in absorption, and the released drug is rapidly and completely absorbed.There are four major models of drug release patterns. The first model is the slow zero-order...
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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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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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Quantifying diffusion-controlled drug release from spherical devices using Monte Carlo simulations.

Amalia Hadjitheodorou1, George Kalosakas2

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Monte Carlo simulations reveal drug release from spherical devices is accurately modeled by the Weibull function. Release kinetics are independent of initial drug concentration and depend on device size and diffusion coefficient.

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Area of Science:

  • Pharmacokinetics and Drug Delivery
  • Computational Modeling
  • Materials Science

Background:

  • Drug release kinetics from pharmaceutical devices are crucial for therapeutic efficacy.
  • Diffusion is a primary mechanism governing drug release from many dosage forms.
  • Predictive models are essential for optimizing drug delivery systems.

Purpose of the Study:

  • To numerically simulate drug release profiles from spherical devices using Monte Carlo methods.
  • To investigate the influence of device size and drug diffusion coefficient on release kinetics.
  • To compare simulation results with analytical solutions of Fick's second law.

Main Methods:

  • Monte Carlo simulations were employed to model drug diffusion from spherical devices.
  • The stretched exponential (Weibull) function was used to describe the release curves.
  • The impact of device size and drug diffusion coefficient on Weibull parameters was analyzed.

Main Results:

  • Release curves were accurately represented by the stretched exponential (Weibull) function.
  • Release kinetics demonstrated independence from the initial drug concentration.
  • Analytical relationships were derived for Weibull parameters based on device size and diffusion coefficient.

Conclusions:

  • Monte Carlo simulations provide a robust method for predicting drug release profiles.
  • The Weibull function effectively characterizes diffusion-controlled drug release from spherical devices.
  • Understanding parameter dependencies aids in the design of optimized drug delivery systems.