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Transdermal Drug Delivery Systems01:18

Transdermal Drug Delivery Systems

233
Transdermal drug delivery systems (TDDS) enable the controlled release of drugs across the skin into systemic circulation. They are particularly advantageous for drugs with short half-lives or narrow therapeutic indices, as they maintain consistent plasma concentrations and reduce the risk of subtherapeutic or toxic levels.TDDS are categorized into monolithic, reservoir, and mixed systems. Monolithic systems embed the drug in a polymer matrix, where diffusion governs release. Reservoir systems...
233
In Vitro Drug Dissolution: Compendial Testing Models II01:09

In Vitro Drug Dissolution: Compendial Testing Models II

686
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,...
686
Modified-Release Drug Delivery Systems: Rate-Programmed I01:22

Modified-Release Drug Delivery Systems: Rate-Programmed I

172
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,...
172
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

1.8K
Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting...
1.8K
Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

498
When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
498
In Vitro Drug Dissolution: Alternative Methods01:17

In Vitro Drug Dissolution: Alternative Methods

380
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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Related Experiment Video

Updated: May 5, 2026

A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
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A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates

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A computational procedure for assessing the dynamic performance of diffusion-controlled transdermal delivery devices.

Laurent Simon1

  • 1Otto H. York Department of Chemical, Biological and Pharmaceutical Engineering, New Jersey Institute of Technology, Newark NJ 07102, USA. laurent.simon@njit.edu.

Pharmaceutics
|December 7, 2013
PubMed
Summary

This study introduces a new method to predict drug release times for controlled-release systems. It calculates the flux response time for reservoir patches and monolithic matrices, aiding in optimized drug delivery device design.

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Area of Science:

  • Pharmaceutical Sciences
  • Biomaterials Engineering
  • Drug Delivery Systems

Background:

  • Controlled-release drug delivery systems, including reservoir patches and monolithic matrices, are widely used but challenging to design for specific transient behaviors.
  • Current heuristic approaches for formulation selection offer limited insight into permeation mechanisms, hindering accurate performance prediction.
  • Understanding and predicting the dynamic performance of these drug delivery devices is crucial for effective therapeutic outcomes.

Purpose of the Study:

  • To develop and validate a method for calculating the flux response time in drug delivery systems.
  • To provide a predictive tool for estimating drug release kinetics in reservoir and monolithic systems.
  • To aid in the optimization of polymer and additive selection for tailored drug delivery performance.

Main Methods:

  • Analysis of dynamic performances of reservoir-type and monolithic controlled-release systems.
  • Development of a method to calculate the flux response time in a reservoir-type system with a polymeric membrane.
  • Derivation of an expression for the time required for active pharmaceutical ingredient transport out of a polymer matrix.

Main Results:

  • The metoprolol delivery rate in a reservoir-type system reached 98% of its final value in approximately 8.60 hours.
  • The study derived an expression to predict the time for active pharmaceutical ingredient transport from the polymer.
  • 98% of alpha-tocopherol acetate was released within 461.4 hours from a monolithic matrix applied to the skin.

Conclusions:

  • The proposed method accurately predicts flux response times for controlled-release systems.
  • Calculating the effective time constant enables the development of optimized design strategies for drug delivery devices.
  • This predictive capability can reduce the time and cost associated with formulation development.