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 Experiment Videos

Modulation ratio in comprehensive two-dimensional gas chromatography.

Weeraya Khummueng1, James Harynuk, Philip J Marriott

  • 1Australian Centre for Research on Separation Science, School of Applied Sciences, and Victorian Institute of Chemical Science, RMIT University, G.P.O. Box 2476V, Melbourne 3001, Australia.

Analytical Chemistry
|July 1, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Approaches to using retention indices with coupled column pressure tuning in gas chromatography.

Journal of chromatography. A·2026
Same author

Experimental Design-Based Dispersive Liquid-Liquid Microextraction with GC-FID for Determination of Polycyclic Aromatic Hydrocarbons in Surface Water.

ACS omega·2026
Same author

Evaluation of portable atmospheric-pressure solids analysis probe-quadrupole mass spectrometry and UPLC-MS for the rapid screening of illicit substances in human urine.

Journal of chromatography. A·2026
Same author

Fermentation of kefir with traditional freeze-dried starter cultures successfully recreates fresh culture fermented kefir.

Frontiers in microbiology·2025
Same author

Insights into Application of Metaverse and Virtual Platforms with Gas Chromatography: Communication, Concept Understanding, Instrumental Training, Optimization Skill Development, and Database Sharing.

Analytical chemistry·2025
Same author

The observation of band shapes for shape-shifting molecule transformations in comprehensive two-dimensional gas chromatography.

Journal of chromatography. A·2025

A new term, the modulation ratio (MR), is proposed to quantify sampling rates in comprehensive two-dimensional chromatography. This standardized metric, MR = 4sigma/PM, improves reporting of experimental conditions for accurate peak modulation.

Area of Science:

  • Analytical Chemistry
  • Chromatography

Background:

  • Comprehensive two-dimensional chromatography (2D-LC) uses a serial column setup with a modulator to transfer effluent.
  • Modulation period is critical for sampling first-dimension column effluent.
  • Existing terms like modulation number (NM) lack precise definition.

Purpose of the Study:

  • To introduce and define a new, standardized metric for describing sampling rates in 2D-LC.
  • To provide a well-characterized value for reporting experimental conditions in 2D-LC.
  • To establish guidelines for optimal modulation ratio (MR) based on analytical goals.

Main Methods:

  • Definition of the modulation ratio (MR) as MR = 4sigma/PM, where 4sigma represents peak base width and PM is the modulation period.
  • Development of a mathematical model for the modulation process, considering both Gaussian and tailing peaks.

Related Experiment Videos

  • Experimental validation of the proposed modulation ratio.

    • Main Results:

    • The modulation ratio (MR) provides a quantitative and strictly defined measure of sampling efficiency.
    • Mathematical modeling and experimental data support the utility of MR for describing peak modulation.
    • Optimal MR values are suggested: at least 3 for trace analysis and ~1.5 for semiquantitative analysis.

    Conclusions:

    • The modulation ratio (MR) offers a superior, standardized approach to describing peak sampling in 2D-LC compared to previous metrics.
    • Implementing MR ensures more consistent and reproducible experimental reporting in 2D-LC.
    • MR guidelines facilitate method optimization for different analytical requirements, from trace quantification to major component analysis.