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

502
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...
502
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

620
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,...
620

You might also read

Related Articles

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

Sort by
Same journal

Long-Term Stable Wearable Electrochemical Aptamer Sensor for Cortisol in Artificial Sweat Based on a Gold Nanoparticle-Carboxymethyl Cellulose-Methylene Blue Interface.

ACS omega·2026
Same journal

From the Gut to the Brain: Modeling Intestinal Absorption and Assessing Blood-Brain-Barrier Permeability of Small-Molecule Drugs by IAM Chromatography.

ACS omega·2026
Same journal

Retraction of "Flexible Type Symmetric Supercapacitor Electrode Fabrication Using Phosphoric Acid-Activated Carbon Nanomaterials Derived from Cow Dung for Renewable Energy Applications".

ACS omega·2026
Same journal

A Green Magnetite-Coated Waste Biomass for Simultaneous Removal of Multiple Toxic Metals from Water.

ACS omega·2026
Same journal

Mechanically Stable Metal/Silica Antireflective and Antidust Coatings with Controlled Optical Properties to Mitigate Dust Adhesion in Desert Conditions.

ACS omega·2026
Same journal

A Molecular Analogue of Cu/ZSM‑5 Catalyzing the Monooxygenation of Hydrocarbons via a Mono μ‑Oxo Dicopper Species.

ACS omega·2026

Related Experiment Video

Updated: Sep 13, 2025

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

16.9K

Pipeline Polluted Gas Leakage Detection in Chemical Parks Based on the Distributed Fiber Optic Sensing Data Fusion

Peiwang Li1, Kangxi Wang2, Guanghui Sun2

  • 1Jiangsu Yangjing Petrochemical Group Co. Ltd, Lianyungang, Jiangsu 222000, China.

ACS Omega
|July 29, 2025
PubMed
Summary

This study introduces a novel fiber optic sensing method for detecting polluted gas leaks in chemical park pipelines. The approach fuses data from multiple sensors, improving accuracy and reducing environmental risks.

More Related Videos

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

12.1K
Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers
10:21

Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

Published on: May 5, 2016

10.7K

Related Experiment Videos

Last Updated: Sep 13, 2025

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

16.9K
Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

12.1K
Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers
10:21

Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

Published on: May 5, 2016

10.7K

Area of Science:

  • Chemical Engineering
  • Sensor Technology
  • Environmental Monitoring

Background:

  • Manual inspection of chemical park pipelines for gas leaks is labor-intensive and prone to errors.
  • Coordinated use of multi-sensor data for accurate gas leak detection remains a significant challenge.

Purpose of the Study:

  • To develop and validate a distributed fiber optic sensing data fusion algorithm for intelligent detection of polluted gas leakage from chemical park pipelines.
  • To enhance the accuracy and reliability of gas leak detection systems, thereby minimizing environmental pollution and safety hazards.

Main Methods:

  • A distributed fiber optic sensor network was established using fiber optic temperature, pulse, and strain sensors.
  • Pulse data were processed using a flow balancing algorithm; temperature and strain data utilized scalar Kalman filtering.
  • A weighted fusion algorithm adaptively determined sensor weights for data integration and analysis.

Main Results:

  • The method successfully collected relevant information on detection indices from multiple fiber optic sensors.
  • Fusion of processed data, analyzed via time-series waveform changes, accurately identified gas leakage events.
  • The system demonstrated effective detection of pipeline gas leaks, reducing associated environmental and safety risks.

Conclusions:

  • The proposed distributed fiber optic sensing data fusion method offers an intelligent and accurate solution for detecting polluted gas leaks in chemical park pipelines.
  • This approach significantly enhances safety and environmental protection by enabling early and reliable leak detection.