Jove
Visualize
Contact Us

Related Concept Videos

Noncompartmental Analysis: Mean Residence Time01:05

Noncompartmental Analysis: Mean Residence Time

450
According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
450
Noncompartmental Analysis: Statistical Moment Theory00:56

Noncompartmental Analysis: Statistical Moment Theory

301
Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...
301
The Integrated Rate Law: The Dependence of Concentration on Time02:39

The Integrated Rate Law: The Dependence of Concentration on Time

40.0K
While the differential rate law relates the rate and concentrations of reactants, a second form of rate law called the integrated rate law relates concentrations of reactants and time. Integrated rate laws can be used to determine the amount of reactant or product present after a period of time or to estimate the time required for a reaction to proceed to a certain extent. For example, an integrated rate law helps determine the length of time a radioactive material must be stored for its...
40.0K
Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

266
When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
266
Atomic Nuclei: Types of Nuclear Relaxation01:28

Atomic Nuclei: Types of Nuclear Relaxation

701
Nuclear relaxation restores the equilibrium population imbalance and can occur via spin–lattice or spin–spin mechanisms, which are first-order exponential decay processes.
In spin–lattice or longitudinal relaxation, the excited spins exchange energy with the surrounding lattice as they return to the lower energy level. Among several mechanisms that contribute to spin–lattice relaxation, magnetic dipolar interactions are significant. Here, the excited nucleus transfers...
701
Distribution and Dispersion00:54

Distribution and Dispersion

23.8K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
23.8K

You might also read

Related Articles

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

Sort by
Same author

Chitosan-xanthan gum-based hydrogels loaded with essential oil distillation by-products of Aloysia citrodora Paláu for antimicrobial systems.

International journal of biological macromolecules·2026
Same author

Microencapsulated α-Tocopherol and Moringa Extract for Improved Skin Protection: Insights From Human Skin Assessment in Cosmetic Formulations.

Journal of cosmetic dermatology·2025
Same author

Lignin from aldehyde-assisted fractionation can provide light-colored Pickering emulsions through colloidal particles formed using alkaline antisolvent.

International journal of biological macromolecules·2025
Same author

Unlocking the Potential of Hydrosols: Transforming Essential Oil Byproducts into Valuable Resources.

Molecules (Basel, Switzerland)·2024
Same author

First Insight into Lignin Valorization as a Promising Biopolymer for the Modulation of the Physicochemical Properties of Port Wine.

Journal of agricultural and food chemistry·2024
Same author

Plant gums in Pickering emulsions: A review of sources, properties, applications, and future perspectives.

Carbohydrate polymers·2024
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Dec 6, 2025

Multi-Stream Perfusion Bioreactor Integrated with Outlet Fractionation for Dynamic Cell Culture
10:00

Multi-Stream Perfusion Bioreactor Integrated with Outlet Fractionation for Dynamic Cell Culture

Published on: July 20, 2022

2.6K

Residence time distribution (RTD) revisited.

Alírio E Rodrigues1

  • 1Emeritus Professor, Laboratory of Separation and Reaction Engineering (LSRE), Associate Laboratory LSRE-LCM, Department of Chemical Engineering, Faculty of Engineering, University of Porto (FEUP) Rua Dr Roberto Frias s/n 4200-465 Porto, Portugal.

Chemical Engineering Science
|October 12, 2020
PubMed
Summary

This study revisits Residence Time Distribution (RTD) theory and tracer technology, exploring advanced models like the Wave Model and Computational Fluid Dynamics (CFD) for reactor analysis.

Keywords:
CFD modelingCompartment modelsInternal age distributionResidence time distributionStandard dispersion modelTaylor-Aris and Wave models

More Related Videos

Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage
09:53

Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage

Published on: February 7, 2021

2.3K
Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells
06:48

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Published on: January 5, 2024

4.8K

Related Experiment Videos

Last Updated: Dec 6, 2025

Multi-Stream Perfusion Bioreactor Integrated with Outlet Fractionation for Dynamic Cell Culture
10:00

Multi-Stream Perfusion Bioreactor Integrated with Outlet Fractionation for Dynamic Cell Culture

Published on: July 20, 2022

2.6K
Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage
09:53

Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage

Published on: February 7, 2021

2.3K
Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells
06:48

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Published on: January 5, 2024

4.8K

Area of Science:

  • Chemical Engineering
  • Fluid Dynamics

Background:

  • Residence Time Distribution (RTD) theory is fundamental to understanding fluid flow in reactors.
  • Danckwerts' foundational work introduced key concepts like residence time, internal age, and intensity functions.
  • Tracer techniques provide experimental data (Danckwerts' C and F curves) to characterize RTD.

Purpose of the Study:

  • To provide a comprehensive review of RTD theory and its experimental determination.
  • To discuss various models for describing fluid flow in real reactors, including compartment models.
  • To highlight the advancements in RTD analysis through Computational Fluid Dynamics (CFD).

Main Methods:

  • Review of existing literature on RTD theory and compartment models.
  • Discussion of the Standard Dispersion Model (SDM), Taylor-Aris model, and Wave Model.
  • Exploration of Computational Fluid Dynamics (CFD) for RTD calculation from transport equations.

Main Results:

  • Identification of shortcomings in the Standard Dispersion Model (SDM).
  • Introduction of the Wave Model as an advanced approach for reactor modeling.
  • Demonstration of CFD's capability to calculate RTD, spatial age distribution, and mixing.

Conclusions:

  • RTD theory and tracer technology remain crucial for reactor engineering.
  • Advanced models and CFD offer more accurate and detailed insights into fluid flow and mixing.
  • Future research directions include 'smart RTD' and addressing remaining challenges in reactor modeling.