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

Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

196
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
196
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

10.9K
The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second.
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion....
10.9K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

107
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
107

You might also read

Related Articles

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

Sort by
Same author

Combined mechanistic and genetic programming approach to modeling pilot NBR production: influence of feed compositions on rubber Mooney viscosity.

RSC advances·2022
Same author

The subpleural pulmonary microvasculature in newborn yak (Bos grunniens).

Veterinary research communications·2008
Same author

Experimental confirmation of potential swept source optical coherence tomography performance limitations.

Applied optics·2008
Same author

A germin-like protein gene family functions as a complex quantitative trait locus conferring broad-spectrum disease resistance in rice.

Plant physiology·2008
Same author

[Spatial and temporal changes of palatal cell proliferation and cell apoptosis of retinoic acid induced mouse cleft palate in different embryonic stages].

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology·2008
Same author

Identification of an Atlantic salmon IFN multigene cluster encoding three IFN subtypes with very different expression properties.

Developmental and comparative immunology·2008
Same journal

High-turnover copper-catalyzed amination of aryl bromides: exploring catalyst and ligand degradation pathways.

RSC advances·2026
Same journal

Sb-based metal oxide and sulfide anode materials for alkali-ion batteries.

RSC advances·2026
Same journal

Directed evolution of a cytochrome P450 monooxygenase for improved perillyl alcohol biosynthesis <i>via</i> a tailored genetically encoded biosensor.

RSC advances·2026
Same journal

Superspin-glass dynamics and magnetic memory in ZnFe<sub>2</sub>O<sub>4</sub> nanoparticles synthesized <i>via</i> a green egg-white-assisted route.

RSC advances·2026
Same journal

Porous and luminescent Dy-doped Co-BTC MOFs for label-free detection of tetracycline and vanadium traces in water.

RSC advances·2026
Same journal

An optimized green simultaneous HPLC analysis of dissolution rate monitoring for valsartan and sacubitril in tablet medications.

RSC advances·2026
See all related articles

Related Experiment Video

Updated: Sep 25, 2025

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion
11:33

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion

Published on: September 2, 2016

14.0K

An online optimization strategy for a fluid catalytic cracking process using a case-based reasoning method based on

Peng Ni1, Bin Liu2, Ge He2

  • 1China University of Petroleum Beijing 102249 China.

RSC Advances
|April 28, 2022
PubMed
Summary
This summary is machine-generated.

Complex refining process models hinder optimization. Case-based reasoning (CBR) using big data offers a rapid solution, achieving optimization results in under 1 second for fluid catalytic cracking processes.

More Related Videos

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
09:16

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method

Published on: May 12, 2023

1.2K
In Situ Visualization of the Phase Behavior of Oil Samples Under Refinery Process Conditions
11:20

In Situ Visualization of the Phase Behavior of Oil Samples Under Refinery Process Conditions

Published on: February 21, 2017

6.8K

Related Experiment Videos

Last Updated: Sep 25, 2025

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion
11:33

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion

Published on: September 2, 2016

14.0K
Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
09:16

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method

Published on: May 12, 2023

1.2K
In Situ Visualization of the Phase Behavior of Oil Samples Under Refinery Process Conditions
11:20

In Situ Visualization of the Phase Behavior of Oil Samples Under Refinery Process Conditions

Published on: February 21, 2017

6.8K

Area of Science:

  • Chemical Engineering
  • Artificial Intelligence
  • Process Optimization

Background:

  • Mechanistic models for refining processes are computationally intensive, leading to inefficiencies and poor convergence.
  • This complexity limits the application of advanced process optimization and control in industrial refining.
  • Existing methods struggle with the scale and speed required for real-time optimization in complex systems.

Purpose of the Study:

  • To develop a computationally efficient process optimization method for complex refining operations.
  • To leverage big data technology and case-based reasoning (CBR) for enhanced process optimization.
  • To validate the proposed CBR method in an industrial fluid catalytic cracking (FCC) process.

Main Methods:

  • Implemented a case-based reasoning (CBR) approach for process optimization.
  • Utilized historical process data (cases) to solve new optimization problems.
  • Applied the CBR method to a fluid catalytic cracking (FCC) process focused on maximizing iso-paraffins (MIP) production.

Main Results:

  • The CBR method achieved optimization results for different objectives within a solution time of less than 1 second.
  • Demonstrated the feasibility of reusing previous process cases for efficient problem-solving.
  • Successfully validated the method in an actual industrial FCC MIP production setting.

Conclusions:

  • Case-based reasoning (CBR) provides a computationally efficient alternative to complex mechanistic models for refining process optimization.
  • The CBR approach, enhanced by big data, enables rapid online process optimization for FCC.
  • This study presents a practical solution for improving efficiency and control in complex refining production processes.