Jove
Visualize
Contact Us
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 Concept Videos

Fast Reactions01:27

Fast Reactions

Fast reactions occurring in times shorter than the time needed to mix reactants pose a unique challenge for investigation. In a liquid-phase continuous-flow system, reactants A and B are swiftly pushed into the mixing chamber, where mixing occurs within 1 ms. The reaction mixture then flows through an observation tube, and one measures light absorption to determine species concentrations at various points of the tube. This method is most appropriate when relatively large volumes of reactants...
The Integrated Rate Law: The Dependence of Concentration on Time02:39

The Integrated Rate Law: The Dependence of Concentration on Time

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...
Transition State Theory01:25

Transition State Theory

Transition-state theory, also known as activated-complex theory, provides a molecular-level explanation of reaction rates in both gas-phase and solution-phase reactions. It extends earlier kinetic models by considering the formation of a short-lived, high-energy configuration during a reaction.The progress of a chemical reaction can be represented using a reaction profile, which plots potential energy against the reaction coordinate. As two reactant molecules approach one another, their...
Consecutive Reactions01:22

Consecutive Reactions

Consecutive reactions involve a sequence where the product of a preceding reaction becomes the reactant for the subsequent one. In a simple scheme, A transforms into B, which further reacts to form C, with rate constants k1 and k2, respectively. This concept is evident in the radioactive decay series. Assuming an initial state with only A present, the conservation of matter leads to three coupled differential equations, determining the concentrations of A, B, and C over time.The rate of change...
Half-life of a Reaction02:42

Half-life of a Reaction

The half-life of a reaction (t1/2) is the time required for one-half of a given amount of reactant to be consumed. In each succeeding half-life, half of the remaining concentration of the reactant is consumed. For example, during the decomposition of hydrogen peroxide, during the first half-life (from 0.00 hours to 6.00 hours), the concentration of H2O2 decreases from 1.000 M to 0.500 M. During the second half-life (from 6.00 hours to 12.00 hours), the concentration decreases from 0.500 M to...
Reaction Mechanisms: The Steady-State Approximation01:26

Reaction Mechanisms: The Steady-State Approximation

The steady-state approximation, also referred to as the quasi-steady-state approximation to differentiate it from a true steady state, is a widely used method for simplifying calculations in complex reaction mechanisms. This approach is particularly useful when dealing with multi-step reactions that involve reverse reactions or several steps, which can significantly increase mathematical complexity and make the reactions nearly unsolvable analytically.The steady-state approximation operates on...

You might also read

Related Articles

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

Sort by
Same author

Time-lapse in vivo dynamics of human corneal immune cells reveals a density-diffusivity relationship.

The ocular surface·2026
Same author

Optimal experiment design for practical parameter identifiability and model discrimination.

Mathematical biosciences·2026
Same author

Likelihood-free parameter inference for spatiotemporal stochastic biological models using neural posterior estimation.

Journal of theoretical biology·2026
Same author

Modeling Collective Cell Migration in a Data-Rich Age: Challenges and Opportunities for Data-Driven Modeling.

Cold Spring Harbor perspectives in biology·2026
Same author

A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models.

Journal of the Royal Society, Interface·2026
Same author

Continuum models describing probabilistic motion of tagged agents in exclusion processes.

Physical review. E·2026

Related Experiment Video

Updated: May 21, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

Critical time scales for advection-diffusion-reaction processes.

Adam J Ellery1, Matthew J Simpson, Scott W McCue

  • 1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|June 12, 2012
PubMed
Summary

Local accumulation time (LAT) is identical to mean action time (MAT), providing a finite measure for reaction-diffusion systems. This critical time can be calculated without solving complex partial differential equations, simplifying analysis.

More Related Videos

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Measuring the Time-Evolution of Nanoscale Materials with Stopped-Flow and Small-Angle Neutron Scattering
07:53

Measuring the Time-Evolution of Nanoscale Materials with Stopped-Flow and Small-Angle Neutron Scattering

Published on: August 6, 2021

Related Experiment Videos

Last Updated: May 21, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Measuring the Time-Evolution of Nanoscale Materials with Stopped-Flow and Small-Angle Neutron Scattering
07:53

Measuring the Time-Evolution of Nanoscale Materials with Stopped-Flow and Small-Angle Neutron Scattering

Published on: August 6, 2021

Area of Science:

  • Physical Chemistry
  • Chemical Physics
  • Mathematical Biology

Background:

  • Reaction-diffusion equations model transient processes approaching steady states.
  • Local Accumulation Time (LAT) was previously introduced as a critical time measure.
  • Mean Action Time (MAT) was developed for analyzing particle lifetimes and diffusion.

Purpose of the Study:

  • To demonstrate the identity between Local Accumulation Time (LAT) and Mean Action Time (MAT).
  • To derive expressions for MAT in one-dimensional advection-diffusion-reaction systems.
  • To explore the relationship between MAT and Mean Particle Lifetime (MPLT).

Main Methods:

  • Derivation of Mean Action Time (MAT) for general 1D linear advection-diffusion-reaction problems.
  • Application of both continuum and discrete mathematical approaches.
  • Analysis of transitions between uniform states and more general cases.

Main Results:

  • Local Accumulation Time (LAT) is shown to be equivalent to Mean Action Time (MAT).
  • MAT and Mean Particle Lifetime (MPLT) are equivalent for specific uniform-to-uniform transitions.
  • MAT can be evaluated without solving the governing partial differential equation (PDE).
  • Accurate approximations for nonlinear kinetic processes can be derived using MAT.

Conclusions:

  • MAT offers a practical and simple critical time measure for reaction-diffusion systems.
  • The equivalence of MAT and MPLT provides a link between microscopic stochasticity and macroscopic timescales.
  • MAT facilitates direct approximation of system dynamics without complex PDE solutions.