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Related Concept Videos

Modified-Release Drug Delivery Systems: Drug Release Characteristics01:22

Modified-Release Drug Delivery Systems: Drug Release Characteristics

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...
Modified-Release Drug Delivery Systems: Site-Targeted01:24

Modified-Release Drug Delivery Systems: Site-Targeted

Site-targeted drug delivery systems enhance therapeutic efficacy while minimizing systemic toxicity and treatment costs. Unlike conventional methods, these systems ensure precise drug delivery, improving bioavailability and reducing side effects. Targeted drug delivery is classified into three levels. First-order targeting directs drugs to the capillary beds of specific organs or tissues. Second-order targets specific cell types, such as tumor cells, using receptor-mediated interactions.
Modified-Release Drug Delivery Systems: Classification01:23

Modified-Release Drug Delivery Systems: Classification

Modified-release drug delivery systems improve drug efficacy and minimize side effects by controlling the rate and location of drug release. These systems fall into three categories: rate-programmed, stimuli-activated, and site-targeted.Rate-programmed systems release drugs at a predetermined rate, maintaining consistent therapeutic levels and reducing fluctuations that could lead to toxicity or subtherapeutic effects. These systems use polymeric matrices, reservoir-based designs, or osmotic...
Modified-Release Drug Delivery Systems: Influencing Factors01:20

Modified-Release Drug Delivery Systems: Influencing Factors

Modified-release drug delivery systems are designed to optimize the therapeutic effect of drugs by minimizing side effects, reducing the dosage required, and controlling drug release to align with pharmacokinetic and pharmacodynamic needs. The system depends on two key factors: the drug's release from the formulation and its movement through the body to the target site. Unlike conventional dosage forms, where absorption is the limiting step, the rate of drug release is the key determinant in...
Modified-Release Drug Delivery Systems: Rate-Programmed I01:22

Modified-Release Drug Delivery Systems: Rate-Programmed I

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,...
Modified-Release Drug Delivery Systems: Rate-Programmed II01:19

Modified-Release Drug Delivery Systems: Rate-Programmed II

Rate-programmed drug delivery systems release drugs in a controlled manner to maintain therapeutic levels. Three main designs include reservoir, matrix, and hybrid systems.Reservoir systems consist of a drug core enclosed within a membrane that controls drug release. In non-swelling reservoir systems, polymers like ethyl cellulose or polymethacrylates are used. These do not hydrate in aqueous media and control release through membrane thickness, porosity, or insolubility. This type includes...

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Related Experiment Video

Updated: Jun 27, 2026

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles
07:32

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles

Published on: August 28, 2015

A Functional Data Analysis-Based Framework for Modeling and Multi-Objective Optimization of Sustained-Release Drug

Hao Ren1,2,3, Mengchen Han1,2,3, Yuchao Qiao1,2,3

  • 1Department of Health Statistics, School of Public Health, Shanxi Medical University, Jinzhong 030600, China.

Pharmaceutics
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

A new framework models sustained-release drug delivery systems using functional principal component analysis and Non-dominated Sorting Genetic Algorithm III (NSGA-III). This approach optimizes formulations for predictable drug release profiles.

Keywords:
NSGA-IIIfunctional data analysismixture experimental designsustained-release formulation

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Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers
18:57

Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers

Published on: October 17, 2013

Related Experiment Videos

Last Updated: Jun 27, 2026

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles
07:32

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles

Published on: August 28, 2015

Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers
18:57

Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers

Published on: October 17, 2013

Area of Science:

  • Pharmaceutical Sciences
  • Computational Chemistry
  • Biostatistics

Background:

  • Sustained-release drug delivery systems require precise modeling for optimal therapeutic outcomes.
  • Multiobjective optimization is crucial for balancing complex formulation parameters.

Purpose of the Study:

  • To develop an integrated methodological framework for modeling and multiobjective optimization of sustained-release drug delivery systems.
  • To establish a robust approach for predicting and refining drug release profiles.

Main Methods:

  • Cumulative release data were fitted to function curves.
  • Functional principal component analysis (FPCA) transformed curves into functional principal component scores (FPCs).
  • Scheffé polynomial regression models linked FPCs to formulation factors, followed by Non-dominated Sorting Genetic Algorithm III (NSGA-III) for optimization.

Main Results:

  • FPC1, FPC2, and FPC3 captured 95.18%, 4.39%, and 0.32% of total variation, respectively.
  • Optimized formulation compositions were identified using NSGA-III, yielding stable parameters.
  • Reconstructed cumulative release percentages closely matched target profiles, validating the model's accuracy.

Conclusions:

  • The integrated FDA-Scheffé-NSGA-III framework offers a powerful tool for sustained-release formulation development.
  • This approach enables accurate modeling of drug release behavior and efficient multiobjective optimization.
  • The methodology ensures robust and predictable performance of sustained-release drug delivery systems.