Jove
Visualize
Contact Us

Related Concept Videos

Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

291
Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
291

You might also read

Related Articles

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

Sort by
Same author

Parameters of the neutron field at the Prizm-AN stand in the neutronic measurement laboratory.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2025
Same author

Radiation spectroscopy of irradiated VVER-1200 fuel with burnable Am-absorber: A computational approach.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2025
Same author

Nuclear-excited source of coherent and incoherent radiation with direct nuclear pumping.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2024
Same author

Comparison between the theoretical and experimental values of transition rate B(E2), deformation parameters and intrinsic quadrupole moments for some Ti isotopes.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2024
Same author

Neutron pumping of active medium formed by gadolinium isotopes <sup>155</sup>Gd and <sup>156</sup>Gd pair: A feasibility study.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2024
Same author

Effect of changing the neutron moderator in a thermal subcritical nuclear reactor.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2022
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: May 13, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

9.9K

Optimization of the LaBr3 detector model using differential evolution algorithms.

Irina V Prozorova1, Radmila R Sabitova2, Sergey V Bedenko3

  • 1Institute of Atomic Energy of National Nuclear Center of the Republic of Kazakhstan, Kurchatov, 180010, Kazakhstan; National Research Tomsk Polytechnic University, Tomsk, 634050, Russia.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|April 16, 2025
PubMed
Summary

This study developed an optimized computational model for a lanthanum bromide (LaBr3(Ce)) scintillation detector. The validated model accurately predicts detector efficiency for various sources, crucial for gamma-ray spectrometry.

Keywords:
CharacterizationDetector optimizationDifferential evolution algorithmsGamma-ray spectrometryMonte-carlo method

More Related Videos

Optimization of a Quantitative Micro-neutralization Assay
10:09

Optimization of a Quantitative Micro-neutralization Assay

Published on: December 14, 2016

21.0K
Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method
09:32

Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method

Published on: September 10, 2017

10.9K

Related Experiment Videos

Last Updated: May 13, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

9.9K
Optimization of a Quantitative Micro-neutralization Assay
10:09

Optimization of a Quantitative Micro-neutralization Assay

Published on: December 14, 2016

21.0K
Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method
09:32

Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method

Published on: September 10, 2017

10.9K

Area of Science:

  • Nuclear Physics
  • Analytical Chemistry
  • Computational Physics

Background:

  • Accurate detector efficiency is vital in gamma-ray spectrometry for quantifying radioactive materials.
  • Computational detector models offer a method to determine efficiency for non-standard sources without physical calibration standards.
  • Lanthanum bromide (LaBr3(Ce)) detectors are widely used due to their excellent timing and energy resolution.

Purpose of the Study:

  • To develop and optimize a computational model for a 1.5″ × 1.5″ LaBr3(Ce) scintillation detector.
  • To validate the model's accuracy in predicting detector efficiency using experimental data.
  • To assess the model's applicability for non-standard sources in gamma-ray spectrometry.

Main Methods:

  • Detector characterization using 137Cs and 152Eu point sources at various positions.
  • Monte Carlo simulation using MCNP6 code for computational modeling.
  • Model optimization employing differential evolution algorithms to reconcile calculated and experimental responses.

Main Results:

  • Initial MCNP6 model showed deviations between simulated and experimental detector responses.
  • Optimization using differential evolution algorithms successfully refined detector parameters.
  • The optimized LaBr3(Ce) model demonstrated accurate predictions when verified with a KCl volumetric source, with deviations within error limits.

Conclusions:

  • An optimized computational model for a LaBr3(Ce) detector was successfully developed.
  • The validated model accurately determines detector efficiency, particularly for non-standard sources.
  • This approach enhances the capabilities of gamma-ray spectrometry by reducing reliance on physical calibration standards.