Jove
Visualize
Contact Us

Related Concept Videos

Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

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...
Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

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

Gas Chromatography: Types of Detectors-I

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,...
Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

You might also read

Related Articles

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

Sort by
Same journal

RETRACTED: Ndaguba et al. Operability of Smart Spaces in Urban Environments: A Systematic Review on Enhancing Functionality and User Experience. <i>Sensors</i> 2023, <i>23</i>, 6938.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Ma et al. A Lightweight, Low-Frequency, Broadband Underwater Acoustic Transducer with Ternary Symmetric Excitation: Integrating KNN and Terfenol-D for Enhanced Performance. <i>2026</i>, <i>26</i>, 3645.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: He et al. An Edge-Computing-Based Emotion-Aware Adaptive Lighting System for Intelligent Cockpits. <i>Sensors</i> 2026, <i>26</i>, 3489.

Sensors (Basel, Switzerland)·2026
Same journal

Correction: Tu et al. Lower Limb Motion Recognition with Improved SVM Based on Surface Electromyography. <i>Sensors</i> 2024, <i>24</i>, 3097.

Sensors (Basel, Switzerland)·2026
Same journal

Real-Time Detection System for Road Roughness Based on Ultrasonic Technology.

Sensors (Basel, Switzerland)·2026
Same journal

FedHSFV: Federated Learning for Finger Vein Recognition via Hierarchical Decoupling and Subspace Metric.

Sensors (Basel, Switzerland)·2026
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: Jul 16, 2026

Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe
09:34

Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe

Published on: December 4, 2016

Adaptive E-Nose: Integrating New Gas Sensors for Emerging Applications.

Namkha Gyeltshen1, Adrian Garrido Sanchis2, Nishant Jagannath1

  • 1School of IT and Systems, University of Canberra, Canberra, ACT 2617, Australia.

Sensors (Basel, Switzerland)
|July 15, 2026
PubMed
Summary

A new framework integrates low-cost gas sensors into electronic nose (e-nose) systems for accessible chemical sensing. This approach enables effective odor discrimination, paving the way for widespread e-nose applications.

Keywords:
VOCselectronic nosesframeworkgas-sensing systemslow-costselectivitysensor arrays

More Related Videos

Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions
08:18

Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions

Published on: June 12, 2016

Related Experiment Videos

Last Updated: Jul 16, 2026

Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe
09:34

Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe

Published on: December 4, 2016

Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions
08:18

Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions

Published on: June 12, 2016

Area of Science:

  • Materials Science
  • Electrical Engineering
  • Biotechnology

Background:

  • Conventional chemical analysis requires expensive lab equipment.
  • Existing electronic nose (e-nose) systems are costly for broad implementation.
  • Advancements in low-cost sensor technology create opportunities for accessible e-nose applications.

Purpose of the Study:

  • To develop a framework for rapidly integrating new, low-cost gas sensors into functional e-nose systems.
  • To continuously evaluate emerging sensor technologies for e-nose development.
  • To enable cost-effective and accessible chemical sensing solutions.

Main Methods:

  • Characterizing sensor performance within multi-sensor arrays mimicking biological olfaction.
  • Evaluating sensor sensitivity, selectivity, and stability.
  • Developing a framework for seamless integration of new sensors.

Main Results:

  • Demonstrated effective odor discrimination using a low-cost e-nose system.
  • Showcased coordinated behavior of a heterogeneous sensor array for sensing.
  • Established a pathway for continuous e-nose technology updates.

Conclusions:

  • The developed framework facilitates cost-effective e-nose updates with the latest sensors.
  • This approach makes advanced chemical sensing accessible for resource-limited settings.
  • Enables large-scale deployment of e-nose technology in diverse real-world applications.