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

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...

Two-Compartment Open Model: Extravascular Administration

Two-Compartment Open Model: Extravascular Administration

The two-compartment model for extravascular administration represents a drug's absorption and distribution process. It features a central compartment, where the drug is first absorbed, and a peripheral compartment, which illustrates the drug's distribution throughout the body. The rate of change in drug concentration in the central compartment is calculated by three exponents: absorption, distribution, and elimination.
The absorption exponent (ka) indicates the speed at which the drug is...

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

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

Extravascular administration, such as oral or intramuscular routes, is a non-invasive drug delivery method, often preferred for ease and patient compliance. A key factor here is absorption, which dictates how quickly and effectively the drug enters the bloodstream from the administration site. Absorption follows either zero-order or first-order kinetics.
Zero-order absorption maintains a steady rate irrespective of the amount of drug left to be absorbed, making it a constant process. In the...

Papillary Dermis

Papillary Dermis

Dermis
The dermis might be considered the "core" of the integumentary system, as distinct from the epidermis and hypodermis. It contains blood and lymph vessels, nerves, and other structures, such as hair follicles and sweat glands. The dermis is made of two layers of connective tissue that comprise an interconnected mesh of elastin and collagenous fibers, produced by fibroblasts.
Papillary Layer
The papillary layer is made of loose, areolar connective tissue, which means the collagen and...

Three-Compartment Open Model

Three-Compartment Open Model

The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for k_a Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...

You might also read

Related Articles

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

Sort by

Same author

Dermal absorption of chemicals: estimation by IH SkinPerm.

Journal of occupational and environmental hygiene·2013

Same author

Simulation of urinary excretion of 1-hydroxypyrene in various scenarios of exposure to polycyclic aromatic hydrocarbons with a generic, cross-chemical predictive PBTK-model.

International archives of occupational and environmental health·2011

Same author

Quantitative structure-activity relationships (QSARs) for the prediction of skin permeation of exogenous chemicals.

Chemosphere·2002

See all related articles

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

A simple dermal absorption model: derivation and application.

Wil ten Berge¹

¹Santoxar, Wolter Visscherstraat 40, 6931CV Westervoort, The Netherlands. wtberge@planet.nl

|March 24, 2009

Summary

This summary is machine-generated.

This study developed quantitative structure-activity relationships (QSARs) to predict skin permeation and dermal absorption of chemicals. These models aid in chemical risk assessment under European REACH legislation.

More Related Videos

Diffuse Optical Spectroscopy for the Quantitative Assessment of Acute Ionizing Radiation Induced Skin Toxicity Using a Mouse Model

Diffuse Optical Spectroscopy for the Quantitative Assessment of Acute Ionizing Radiation Induced Skin Toxicity Using a Mouse Model

Published on: May 27, 2016

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging

Published on: November 24, 2021

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

Diffuse Optical Spectroscopy for the Quantitative Assessment of Acute Ionizing Radiation Induced Skin Toxicity Using a Mouse Model

Diffuse Optical Spectroscopy for the Quantitative Assessment of Acute Ionizing Radiation Induced Skin Toxicity Using a Mouse Model

Published on: May 27, 2016

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging

Published on: November 24, 2021

Area of Science:

Pharmacokinetics and Toxicology
Computational Chemistry
Dermal Absorption Studies

Background:

Quantitative structure-activity relationships (QSARs) are crucial for predicting chemical properties.
Understanding skin permeation is vital for assessing dermal exposure risks.
Existing models may not fully capture the complexities of stratum corneum penetration.

Purpose of the Study:

To derive QSARs for estimating skin permeation and dermal absorption parameters.
To predict key parameters like the stratum corneum/water partition coefficient and diffusivity.
To provide tools for chemical risk assessment within regulatory frameworks like REACH.

Main Methods:

Utilized log(octanol/water partition coefficient), molecular weight, and water solubility as independent variables.
Developed QSAR models for skin permeation coefficient, stratum corneum/water partition coefficient, maximum dermal absorption, and lag time.
Validated model predictions against experimental data for substances not included in model development.

Main Results:

QSARs successfully estimated skin permeation coefficient, partition coefficient, maximum dermal absorption, and lag time.
Estimated maximum dermal absorption and lag time showed good agreement with experimental data.
The derived QSARs provide reliable estimations for key dermal absorption parameters.

Conclusions:

The developed QSARs are effective tools for predicting dermal absorption and permeation.
These models support the risk assessment of chemicals under the European REACH legislation.
The QSARs offer a valuable in silico approach for regulatory toxicology.