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

Pharmacokinetic Models: Overview

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...

Physiological Pharmacokinetic Models: Assumption with Protein Binding

Physiological Pharmacokinetic Models: Assumption with Protein Binding

Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...

Pharmacokinetic Models: Comparison and Selection Criterion

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...

Model Approaches for Pharmacokinetic Data: Physiological Models

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...

You might also read

Related Articles

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

Sort by

Same author

Prediction of Prognosis and Immunotherapy of Osteosarcoma Based on Necroptosis-Related lncRNAs.

Frontiers in genetics·2022

Same author

Multiplex immunochromatographic platform based on crystal violet tag for simultaneous detection of streptomycin and chloramphenicol.

Food chemistry·2022

Same author

Biochemical recurrence related metabolic novel signature associates with immunity and ADT treatment responses in prostate cancer.

Cancer medicine·2022

Same author

Rate constants of chlorine atom reactions with organic molecules in aqueous solutions, an overview.

Environmental science and pollution research international·2022

Same author

Vanadium Disulfide Nanosheet Boosts Optical Signal Brightness as a Superior Enzyme Label to Improve the Sensitivity of Lateral Flow Immunoassay.

Analytical chemistry·2022

Same author

A TET1-PSPC1-Neat1 molecular axis modulates PRC2 functions in controlling stem cell bivalency.

Cell reports·2022

Search research articles

Related Experiment Video

Updated: Dec 29, 2025

Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent

Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent

Published on: February 21, 2017

Adsorption kinetic models: Physical meanings, applications, and solving methods.

Jianlong Wang¹, Xuan Guo²

¹Collaborative Innovation Center for Advanced Nuclear Energy Technology, INET, Tsinghua University, Beijing 100084, PR China; Beijing Key Laboratory of Radioactive Waste Treatment, Tsinghua University, Beijing 100084, PR China.

Journal of Hazardous Materials

|February 2, 2020

Summary

This summary is machine-generated.

This study clarifies the physical meanings and solving methods for 16 adsorption kinetic models used in water treatment. It provides a user-friendly interface to aid researchers in simulating adsorption processes.

Keywords:

Adsorption Kinetic model Physical meaning Solving method

More Related Videos

Study of Short Peptide Adsorption on Solution Dispersed Inorganic Nanoparticles Using Depletion Method

Study of Short Peptide Adsorption on Solution Dispersed Inorganic Nanoparticles Using Depletion Method

Published on: April 11, 2020

Real Time Measurements of Membrane Protein:Receptor Interactions Using Surface Plasmon Resonance SPR

Real Time Measurements of Membrane Protein:Receptor Interactions Using Surface Plasmon Resonance SPR

Published on: November 29, 2014

Related Experiment Videos

Last Updated: Dec 29, 2025

Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent

Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent

Published on: February 21, 2017

Study of Short Peptide Adsorption on Solution Dispersed Inorganic Nanoparticles Using Depletion Method

Study of Short Peptide Adsorption on Solution Dispersed Inorganic Nanoparticles Using Depletion Method

Published on: April 11, 2020

Real Time Measurements of Membrane Protein:Receptor Interactions Using Surface Plasmon Resonance SPR

Real Time Measurements of Membrane Protein:Receptor Interactions Using Surface Plasmon Resonance SPR

Published on: November 29, 2014

Area of Science:

Environmental Science
Water Treatment Technologies
Chemical Engineering

Background:

Adsorption is a cost-effective and efficient method for water and wastewater treatment.
Adsorption kinetic models are crucial for evaluating adsorbent performance and understanding mass transfer mechanisms.
Current understanding of the physical meanings and solving methods for these models is limited.

Purpose of the Study:

To elucidate the physical meanings, applications, and solving methodologies of 16 distinct adsorption kinetic models.
To standardize the interpretation and application of adsorption kinetic models in research and practice.
To develop a practical tool for simulating adsorption kinetics.

Main Methods:

Detailed analysis of mathematical derivations, physical meanings, and applications of various model categories (reaction, empirical, diffusion, active site models).
Compilation and summarization of model validity evaluation equations from existing literature.
Development of a user interface (UI) using Excel for solving kinetic models.

Main Results:

Comprehensive review and clarification of 16 adsorption kinetic models, categorizing them into reaction, empirical, diffusion, and active site models.
Summary of established equations for evaluating model validity.
Provision of an accessible Excel-based UI for simulating adsorption kinetic processes.

Conclusions:

Standardized interpretation and application of adsorption kinetic models are essential for effective water and wastewater treatment.
The developed UI offers a valuable resource for researchers to simulate and analyze adsorption kinetics.
This work enhances the practical utility of adsorption kinetic modeling in environmental applications.