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

Methods for Studying Drug Absorption: In vitro

Methods for Studying Drug Absorption: In vitro

In vitro experiments are crucial for understanding the transport and absorption of drugs through biological materials. These studies employ varied methods such as the diffusion cell method, the everted sac technique, and the everted ring technique.
The diffusion cell method uses a two-compartment cell, including a donor compartment with the drug solution, which simulates the environment where the drug is applied, and a receptor compartment with a buffer solution, which simulates the environment...

Methods for Studying Drug Absorption: In situ

Methods for Studying Drug Absorption: In situ

In situ experiments, such as the Doluisio method and Single-Pass Perfusion technique, provide critical insights into drug uptake by simulating in vivo conditions for drug absorption.
The Doluisio method involves perfusing a prepared segment of a rat's small intestine with a solution of radiolabeled drug and a non-absorbable marker. This helps to differentiate between absorbed and non-absorbed drug concentrations. The intestinal segment is connected at both ends using tubing and syringes,...

One-Compartment Open Model for Extravascular Administration: First-Order Absorption Model

One-Compartment Open Model for Extravascular Administration: First-Order Absorption Model

The first-order absorption model for extravascular administration describes the rate at which a drug is absorbed and eliminated, following the principles of first-order kinetics. This model is vital as it provides a mathematical representation of drug behavior within the body. It also allows for the prediction and interpretation of drug absorption and elimination based on the rate of change in drug concentration over time. This model can be visualized as a plasma concentration-time profile...

Non-Oral Extravascular Drug Absorption Routes

Non-Oral Extravascular Drug Absorption Routes

Non-oral extravascular routes, which encompass sublingual, buccal, topical, intramuscular, and inhalation methods, primarily utilize passive diffusion to transport drugs into the systemic circulation. The absorption rates and effectiveness of these routes depend on the drug's physicochemical properties, as well as the patient's anatomical and pathophysiological state.
Lipophilic drugs that are stable at salivary pH (6) and exhibit minimal binding to the oral mucosa are absorbed more effectively...

Oral Drug Delivery Systems: Introduction

Oral Drug Delivery Systems: Introduction

Oral drug delivery is the most common route of administration due to its convenience, cost-effectiveness, and high patient compliance. It enables precise formulation to ensure proper drug dosage and bioavailability. The development of oral dosage forms considers drug properties such as solubility, stability, and absorption to optimize therapeutic efficacy.Tablets, capsules, liquids, and chewable formulations enhance drug stability, mask undesirable tastes, and improve patient experience.

Drug Absorption Mechanism: Passive Membrane Transport

Drug Absorption Mechanism: Passive Membrane Transport

Passive transport is a method of drug absorption where small, lipid-soluble drugs can move across the cell membrane. This movement happens along the concentration gradient, which is a natural flow from higher to lower concentration areas. The speed at which the drug moves is directly related to its lipid–water partition coefficient. This means that the more a drug dissolves in lipids, the faster it diffuses or spreads throughout the body. It is important to note that most drugs are either weak...

You might also read

Related Articles

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

Sort by

Same author

In vivo Predictive Dissolution Test Using Biorelevant Bicarbonate Buffer for High-dose Free Acid Drug.

The AAPS journal·2026

Same author

Simultaneous quantification of drug and coformer during cocrystal dissolution using <i>in situ</i> UV spectroscopy and multicomponent analysis.

ADMET & DMPK·2026

Same author

Novel stirring method for small-scale dissolution test: Rotating vessel method.

ADMET & DMPK·2026

Same author

Development of a Biorelevant Dissolution Test Using Bicarbonate Buffer and Apex Vessel to Predict Clinical Bioequivalence.

Chemical & pharmaceutical bulletin·2026

Same author

Chemical stability of esomeprazole in biorelevant bicarbonate buffer and an exploratory study for specific degradation products.

Journal of pharmaceutical and biomedical analysis·2025

Same author

Dissolution Profile of Ionizable Drugs in Biorelevant Bicarbonate Buffer at Intermediate Gastrointestinal pH Level.

The AAPS journal·2025

Search research articles

Related Experiment Video

Updated: Jun 24, 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

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

Published on: February 23, 2018

Introduction to computational oral absorption simulation.

Kiyohiko Sugano¹

¹Pfizer - Research Formulation Ramsgate Road, Sandwich, Kent, CT13 9NJ, UK. Kiyohiko.Sugano@pfizer.com

Expert Opinion on Drug Metabolism & Toxicology

|April 1, 2009

Summary

Computational oral absorption simulation (COAS) enhances drug discovery by integrating classical pharmaceutical theories. This review details COAS theories and simulation strategies for improved drug development productivity.

More Related Videos

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Published on: May 20, 2016

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

Published on: April 8, 2020

Related Experiment Videos

Last Updated: Jun 24, 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

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

Published on: February 23, 2018

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols

Published on: May 20, 2016

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

Published on: April 8, 2020

Area of Science:

Pharmaceutical Sciences
Computational Chemistry
Drug Development

Background:

Computational oral absorption simulation (COAS) is a key tool for enhancing drug discovery productivity.
Classical pharmaceutical science theories underpin COAS, requiring re-evaluation in modern contexts.
Understanding these theories is crucial for accurate drug absorption prediction.

Purpose of the Study:

To review the fundamental pharmaceutical science theories relevant to COAS.
To describe theories including solubility, diffusion, dissolution, precipitation, intestinal permeation, and GI transit.
To discuss prediction strategies and best practices for COAS.

Main Methods:

Comprehensive review of established pharmaceutical science theories.
Integration of classical theories within the framework of modern drug discovery.
Discussion of prediction strategies based on the biopharmaceutical classification system.

Main Results:

Detailed descriptions of key theories governing oral drug absorption.
A framework for prediction strategies using the biopharmaceutical classification system.
Guidelines for good simulation practice and answers to frequently asked questions.

Conclusions:

COAS, grounded in classical theories, offers significant potential for improving drug discovery efficiency.
A thorough understanding and application of these theories are essential for effective COAS.
The review provides a practical guide for implementing and utilizing COAS in drug development.