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

Gas Chromatography–Mass Spectrometry (GC–MS)01:14

Gas Chromatography–Mass Spectrometry (GC–MS)

6.0K
Gas chromatography–mass spectrometry (GC–MS) is the combination of analytical techniques of gas chromatography and mass spectrometry in a single instrument for analyzing a mixture of compounds. The gas chromatograph separates the compounds in the mixture, and the mass spectrometer analyzes each compound separately to determine the molecular masses and molecular structures.
A gas chromatograph consists of a long, narrow capillary column with a polysiloxane coating on the inner wall....
6.0K
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

2.1K
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
2.1K
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

3.0K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
3.0K
Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

2.7K
Detectors in gas chromatography (GC) help identify and quantify the components of a mixture by translating chemical properties into measurable signals, which are displayed on a chromatogram. Detectors can be categorized into two main types: destructive and non-destructive.
A non-destructive detector allows a sample to be analyzed without altering or consuming it, meaning the sample can be collected after detection for further analysis. Examples include thermal conductivity detectors and...
2.7K

You might also read

Related Articles

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

Sort by
Same author

Enhanced Fluorescent Aptasensor Via Tetrahedral DNA Framework-Mediated Multivalent Aptamer Network and High-Quantum-Yield Carbon Quantum Dots.

Analytical chemistry·2026
Same author

A preS2 aa1-26-specific humoural response marks functional cure in chronic HBV infection.

EBioMedicine·2026
Same author

Cobalt-porphyrin/Bi<sub>19</sub>S<sub>27</sub>Br<sub>3</sub> nanorods enable photocatalytic CO<sub>2</sub> reduction to C<sub>2</sub>H<sub>4</sub>.

Chemical communications (Cambridge, England)·2026
Same author

Ultrastable green top-emitting OLEDs approaching BT.2020 enabled by narrowband phosphorescent emitters.

Science advances·2026
Same author

Feedback coordination of FoxO-mediated antibacterial immunity by PDGF/VEGF signaling establishes hemolymph microbiota homeostasis in shrimp.

PLoS pathogens·2026
Same author

Renal IGFBP6 Interacts With THBS1 to Drive Renal Cellular Senescence and Fibrosis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Related Experiment Video

Updated: May 2, 2026

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Published on: May 20, 2013

22.5K

AntDAS-GCMS: A New Comprehensive Data Analysis Platform for GC-MS-Based Untargeted Metabolomics with the Advantage of

Gui-Mei Ma1,2, Jia-Nan Wang1,2, Xing-Cai Wang3

  • 1College of Pharmacy, Ningxia Medical University, Yinchuan 750004, China.

Analytical Chemistry
|May 28, 2024
PubMed
Summary

A new method, AntDAS-GCMS, solves the time shift problem in gas chromatography-mass spectrometry (GC-MS) untargeted metabolomics. This comprehensive strategy improves data analysis accuracy and compound identification for complex biological samples.

More Related Videos

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

20.9K
An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

3.7K

Related Experiment Videos

Last Updated: May 2, 2026

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Published on: May 20, 2013

22.5K
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

20.9K
An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

3.7K

Area of Science:

  • Analytical Chemistry
  • Metabolomics
  • Bioinformatics

Background:

  • Gas chromatography-mass spectrometry (GC-MS) is crucial for untargeted metabolomics.
  • Existing GC-MS data analysis tools struggle with the time shift problem, limiting accuracy.
  • Accurate time shift correction is essential for reliable compound registration and identification.

Purpose of the Study:

  • To develop a novel, comprehensive data analysis strategy for GC-MS untargeted metabolomics.
  • To specifically address and optimize the time shift correction challenge in GC-MS data.
  • To enhance the accuracy of peak detection, resolution, registration, and compound identification.

Main Methods:

  • Developed AntDAS-GCMS (a novel comprehensive data analysis strategy for GC-MS-based untargeted metabolomics).
  • Utilized mass spectra and elution profiles to identify inherent landmarks for time shift correction.
  • Implemented optimized algorithms for peak detection, resolution, time shift correction, and component registration.

Main Results:

  • AntDAS-GCMS effectively resolved the time shift problem across multiple GC-MS samples.
  • The strategy demonstrated superior performance in peak detection, resolution, and compound identification compared to existing tools.
  • Validation using four complex GC-MS datasets confirmed the robustness and accuracy of AntDAS-GCMS.

Conclusions:

  • AntDAS-GCMS offers a significant advancement in GC-MS untargeted metabolomics data analysis.
  • The optimized time shift correction method improves the reliability and accuracy of metabolite profiling.
  • This strategy provides a more comprehensive and accurate approach for analyzing complex biological samples using GC-MS.