Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Modified-Release Drug Delivery Systems: Drug Release Characteristics

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: Stimuli-Activated

Modified-Release Drug Delivery Systems: Stimuli-Activated

Stimuli-activated drug delivery systems are designed to release drugs in response to specific physical, chemical, or biological stimuli. These systems often utilize hydrogels—three-dimensional, hydrophilic polymer networks capable of swelling in aqueous environments and retaining significant fluid volumes. Upon exposure to particular stimuli, these hydrogels undergo structural transitions that allow the embedded drug to be released. Due to this adaptive behavior, such systems are also called...

Modified-Release Drug Delivery Systems: Rate-Programmed I

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 II

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...

Modified-Release Drug Delivery Systems: Classification

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...

Oral Drug Delivery Systems: Continuous-Release Systems

Oral Drug Delivery Systems: Continuous-Release Systems

Continuous-release drug delivery systems offer a strategic approach to maintaining therapeutic drug levels over extended periods following oral administration. By modulating the release rate of active pharmaceutical ingredients, these systems minimize fluctuations in plasma concentrations, which enhances clinical efficacy and reduces the need for frequent dosing. Such characteristics make them particularly advantageous in managing chronic diseases where patient adherence and stable drug...

You might also read

Related Articles

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

Sort by

Same author

Intracochlear PLGA implants for simultaneous controlled release of multiple drugs.

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

Same author

Probing and modeling cell-cell communication in 2D biomimetic tissues.

Soft matter·2026

Same author

Diagnosis and treatment of benign paroxysmal positional vertigo with lateral canal involvement.

European annals of otorhinolaryngology, head and neck diseases·2025

Same author

Speech audiometry in noise: Signal noise ratio loss values according speech signal level presentation in normal hearing subjects.

European annals of otorhinolaryngology, head and neck diseases·2025

Same author

Binaural performance in 155 adults with single-sided or asymmetric profound hearing loss: A STROBE analysis.

European annals of otorhinolaryngology, head and neck diseases·2025

Same author

Comparative analysis of underwater acoustic propagation models: Evaluating the trade-off between accuracy and computational demands for coastal noise predictions.

Marine pollution bulletin·2025

Search research articles

Related Experiment Video

Updated: May 25, 2026

A Comparative Study of Drug Delivery Methods Targeted to the Mouse Inner Ear: Bullostomy Versus Transtympanic Injection

A Comparative Study of Drug Delivery Methods Targeted to the Mouse Inner Ear: Bullostomy Versus Transtympanic Injection

Published on: March 8, 2017

Predictability of drug release from cochlear implants.

S Krenzlin¹, C Vincent, L Munzke

¹University of Lille, College of Pharmacy, 3 Rue du Prof. Laguesse, Lille, France.

Journal of Controlled Release : Official Journal of the Controlled Release Society

|January 12, 2012

Summary

This summary is machine-generated.

A new mathematical model simplifies predicting drug release from miniaturized implants. This tool uses an "apparent" diffusion coefficient for faster optimization of controlled drug delivery systems, especially for long-term treatments.

More Related Videos

Performing Intracochlear Electrocochleography During Cochlear Implantation

Performing Intracochlear Electrocochleography During Cochlear Implantation

Published on: March 8, 2022

Performing Repeated Intraoperative Impedance Telemetry Measurements during Cochlear Implantation

Performing Repeated Intraoperative Impedance Telemetry Measurements during Cochlear Implantation

Published on: August 4, 2023

Related Experiment Videos

Last Updated: May 25, 2026

A Comparative Study of Drug Delivery Methods Targeted to the Mouse Inner Ear: Bullostomy Versus Transtympanic Injection

A Comparative Study of Drug Delivery Methods Targeted to the Mouse Inner Ear: Bullostomy Versus Transtympanic Injection

Published on: March 8, 2017

Performing Intracochlear Electrocochleography During Cochlear Implantation

Performing Intracochlear Electrocochleography During Cochlear Implantation

Published on: March 8, 2022

Performing Repeated Intraoperative Impedance Telemetry Measurements during Cochlear Implantation

Performing Repeated Intraoperative Impedance Telemetry Measurements during Cochlear Implantation

Published on: August 4, 2023

Area of Science:

Biomedical Engineering
Materials Science
Pharmacokinetics

Background:

Miniaturized implants show promise for localized drug delivery, particularly for conditions like inner ear disorders.
Characterizing and preparing these small-scale drug delivery systems presents significant technical challenges.
Predicting drug release kinetics is crucial for optimizing implant performance.

Purpose of the Study:

To develop a simplified mathematical theory for simulating drug release from miniaturized implants.
To enable in silico prediction of how implant size and composition affect drug release kinetics.
To provide a tool for accelerating the optimization of controlled drug delivery systems.

Main Methods:

The study employs a mathematical model based on Fick's second law of diffusion.
The model requires only the "apparent" diffusion coefficient, which can be determined from macroscopic film experiments.
Model predictions were validated using experimental data from a dexamethasone-loaded silicone cochlear implant.

Main Results:

The simplified mathematical theory accurately predicts drug release kinetics.
Experimental validation confirmed the theoretical predictions for a cochlear implant model.
The approach bypasses the need for numerous complex, system-specific parameters.

Conclusions:

The developed mathematical theory offers a significant advancement in simulating drug release from miniaturized implants.
This simplified model can substantially expedite the optimization process for controlled drug delivery devices.
The combination of simple film experiments and computer simulations facilitates rapid identification of optimal implant designs for extended drug release periods.