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: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

699
In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
699
Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

1.1K
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...
1.1K
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

837
There are different types of detectors used in gas chromatography, each with its own specific properties that make it suitable for detecting certain types of analytes. The most commonly used detectors in GC are thermal conductivity detector (TCD), flame ionization detector (FID), and electron capture detector (ECD).
TCD is the earliest and most widely used detector that operates by measuring the changes in the thermal conductivity of the carrier gas. When a sample compound enters the detector,...
837
Gas Chromatography–Mass Spectrometry (GC–MS)01:14

Gas Chromatography–Mass Spectrometry (GC–MS)

5.2K
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....
5.2K

You might also read

Related Articles

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

Sort by
Same author

Effects of pro-environmental behavior on college students' English learning engagement: a moderated mediation model.

Acta psychologica·2026
Same author

Salt-in-Salt Mediated Weak-Solvent Electrolyte Enabling Fast-Charging and Wide-Temperature Lithium-Ion Batteries.

Angewandte Chemie (International ed. in English)·2026
Same author

Role and mechanism of palmitic acid-regulated palmitoylation modification of SEC63 protein during endoplasmic reticulum stress in human ovarian granulosa tumor cells (KGN).

Journal of ovarian research·2026
Same author

Responsive interlayer spacing in staggered metal-organic framework nanosheet membranes.

Nature communications·2026
Same author

Effects of English learning gains among college students on learning engagement: subjective wellbeing as a mediating variable and pro-environmental behavior as a moderating variable.

Frontiers in psychology·2026
Same author

Decoding SDCBP's role in tumor progression and immune cells infiltration: from databases to macrophage validation.

Discover oncology·2025

Related Experiment Video

Updated: Oct 19, 2025

Performing In Situ Closed-Cell Gas Reactions in the Transmission Electron Microscope
14:21

Performing In Situ Closed-Cell Gas Reactions in the Transmission Electron Microscope

Published on: July 24, 2021

4.2K

Multicomponent SF6 decomposition product sensing with a gas-sensing microchip.

Jifeng Chu1, Aijun Yang1, Qiongyuan Wang1

  • 1State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, 710049 Xi'an, China.

Microsystems & Nanoengineering
|September 27, 2021
PubMed
Summary

This study presents a novel gas sensor microchip for multicomponent recognition. The developed system accurately identifies sulfur hexafluoride decomposition products using stacked denoising autoencoders and machine learning.

Keywords:
Electrical and electronic engineeringNanoscale materials

More Related Videos

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
10:42

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

Published on: March 22, 2019

6.4K
Measurement of H2S in Crude Oil and Crude Oil Headspace Using Multidimensional Gas Chromatography, Deans Switching and Sulfur-selective Detection
08:37

Measurement of H2S in Crude Oil and Crude Oil Headspace Using Multidimensional Gas Chromatography, Deans Switching and Sulfur-selective Detection

Published on: December 10, 2015

19.4K

Related Experiment Videos

Last Updated: Oct 19, 2025

Performing In Situ Closed-Cell Gas Reactions in the Transmission Electron Microscope
14:21

Performing In Situ Closed-Cell Gas Reactions in the Transmission Electron Microscope

Published on: July 24, 2021

4.2K
Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
10:42

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

Published on: March 22, 2019

6.4K
Measurement of H2S in Crude Oil and Crude Oil Headspace Using Multidimensional Gas Chromatography, Deans Switching and Sulfur-selective Detection
08:37

Measurement of H2S in Crude Oil and Crude Oil Headspace Using Multidimensional Gas Chromatography, Deans Switching and Sulfur-selective Detection

Published on: December 10, 2015

19.4K

Area of Science:

  • Materials Science
  • Electrical Engineering
  • Analytical Chemistry

Background:

  • Multicomponent recognition remains a significant challenge in gas sensor development.
  • Sulfur hexafluoride (SF6) decomposition products pose risks and require accurate detection.

Purpose of the Study:

  • To develop a gas-sensing (GS) microchip capable of multicomponent recognition.
  • To create a portable system for detecting SF6 decomposition products.
  • To evaluate advanced signal processing and machine learning techniques for gas classification.

Main Methods:

  • Fabrication of a GS microchip using micromachining with three gas-sensitive materials.
  • Development of a portable gas detection system to collect sensor signals.
  • Application of stacked denoising autoencoder (SDAE) for feature extraction.
  • Utilizing machine learning algorithms for classification of 47 simulants.
  • Employing 5-fold cross-validation and hypothesis testing for reliability and performance assessment.

Main Results:

  • Accurate classification of 47 simulants was achieved using SDAE and machine learning.
  • SDAE-based models demonstrated superior generalization performance compared to PCA-based models, even with noise.
  • The bagging-based back propagation neural network with SDAE showed the best performance at 95% confidence.

Conclusions:

  • The developed GS microchip and detection system effectively address multicomponent recognition challenges.
  • SDAE is a powerful tool for extracting high-level features from gas sensor signals.
  • The proposed SDAE-based machine learning approach offers reliable and generalizable gas detection capabilities.