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)

4.6K
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....
4.6K
Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview

928
In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
928
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

613
Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
613
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

886
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...
886
Mass Spectrometry of Amines01:19

Mass Spectrometry of Amines

4.4K
In mass spectroscopy, amines undergo fragmentation to give parent ions with odd molecule weights. This observed mass spectrum follows the nitrogen rule: a molecule with an odd number of nitrogen atoms produces a parent ion with an odd molecular weight. The remaining fragments have an even mass.
Amines undergo fragmentation through α cleavage, producing nitrogen-containing cations—iminium ions—and alkyl radicals. Mass spectra of aromatic and cyclic aliphatic amines exhibit...
4.4K

You might also read

Related Articles

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

Sort by
Same author

Unraveling Nanoplastics-Enzyme Interactions: Physicochemical, Structural, Functional, and Cell Biological Characterization of α-Amylase-Nanoplastics Complexes.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Brewing-Method-Dependent Changes in the Bioactive Compound Profile and Antioxidant Potential of Coffee Beverages.

Molecules (Basel, Switzerland)·2026
Same author

Stability of potato glycoalkaloids under heating conditions - Reactions with fatty acids.

Current research in food science·2026
Same author

Separation of Ammonia Isotopologues by Benchtop Drift Tube Ion Mobility Spectrometry and Chemometric Modeling.

Journal of the American Society for Mass Spectrometry·2026
Same author

Fortifying Honey: The Effects of Blackcurrant Puree on Functional and Sensory Attributes.

Food science & nutrition·2026
Same author

Towards "greener" strategies in quality control: rapid volatilomics of cocoa based on HS-GC-IMS and machine learning.

Analytical and bioanalytical chemistry·2026

Related Experiment Video

Updated: Sep 7, 2025

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.4K

gc-ims-tools - A new Python package for chemometric analysis of GC-IMS data.

Joscha Christmann1, Sascha Rohn2, Philipp Weller3

  • 1Institute for Instrumental Analytics and Bioanalysis, Mannheim University of Applied Sciences, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany; Hamburg School of Food Science, University of Hamburg, Grindelallee 117, 20146 Hamburg, Germany.

Food Chemistry
|June 19, 2022
PubMed
Summary

A new Python package simplifies gas chromatography ion mobility spectrometry (GC-IMS) data analysis for complex samples. This open-source tool enables custom workflows for applications like food authenticity testing.

Keywords:
ChemometricsFood authenticityGC-IMSNon-target screeningPython

More Related Videos

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS
08:17

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS

Published on: March 3, 2017

11.2K
Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

7.0K

Related Experiment Videos

Last Updated: Sep 7, 2025

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.4K
Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS
08:17

Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS

Published on: March 3, 2017

11.2K
Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

7.0K

Area of Science:

  • Analytical Chemistry
  • Chemometrics
  • Data Science

Background:

  • Gas chromatography ion mobility spectrometry (GC-IMS) offers high sensitivity and resolving power for non-target screening.
  • GC-IMS is increasingly applied in diverse fields, including food authenticity analysis.
  • Customizable data analysis workflows are essential for handling the complexity of GC-IMS data.

Purpose of the Study:

  • To introduce a novel, open-source Python package for the comprehensive handling and analysis of GC-IMS data.
  • To provide a flexible and customizable platform for researchers working with GC-IMS.
  • To demonstrate the utility and ease of use of the package through a practical application.

Main Methods:

  • Development of an open-source Python package tailored for GC-IMS data.
  • Implementation of common data analysis functionalities: file I/O, preprocessing, exploratory analysis, supervised analysis, and visualization.
  • Exemplary application of the package to classify olive oils by geographical origin.

Main Results:

  • The developed Python package effectively handles and analyzes GC-IMS data.
  • A workflow for olive oil classification demonstrated the package's functionality and user-friendliness.
  • Key preprocessing, exploratory, and supervised analysis steps, along with feature selection, were successfully visualized.

Conclusions:

  • The new open-source Python package provides a powerful and flexible solution for GC-IMS data analysis.
  • The tool facilitates custom workflow development for various GC-IMS applications.
  • The package is freely available, promoting accessibility and further development in the scientific community.