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

You might also read

Related Articles

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

Sort by
Same author

PCA- and PLSR-Based Machine Learning Model for Prediction of Urea-N Content in Heterogeneous Soils Using Near-Infrared Spectroscopy.

Sensors (Basel, Switzerland)·2025
Same author

Optimizing P3HT/PCBM-Based Organic Photodetector Performance: Insights from SCAPS 1D Simulation Studies.

Nanomaterials (Basel, Switzerland)·2024
Same author

New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications.

Sensors (Basel, Switzerland)·2019
Same author

A Modular IoT Platform for Real-Time Indoor Air Quality Monitoring.

Sensors (Basel, Switzerland)·2018

Related Experiment Video

Updated: Dec 23, 2025

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
07:59

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors

Published on: December 6, 2018

8.6K

A Smart Rig for Calibration of Gas Sensor Nodes.

Mohieddine A Benammar1, Sabbir H M Ahmad1, Abderrazak Abdaoui1

  • 1Electrical Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar.

Sensors (Basel, Switzerland)
|April 25, 2020
PubMed
Summary
This summary is machine-generated.

Regular maintenance ensures electrochemical gas sensor accuracy. This study introduces a smart calibration rig for simultaneous, automated sensor testing and recalibration, improving reliability for air quality monitoring.

Keywords:
IEEE 802.15.4 (ZigBee)cross-sensitivitygas sensors calibrationlinear regressionmass flow controllerpiecewise curve fittingwireless calibration

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

17.2K
Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases
08:41

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases

Published on: December 19, 2019

10.7K

Related Experiment Videos

Last Updated: Dec 23, 2025

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
07:59

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors

Published on: December 6, 2018

8.6K
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

17.2K
Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases
08:41

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases

Published on: December 19, 2019

10.7K

Area of Science:

  • Environmental Science
  • Instrumentation Engineering

Background:

  • Electrochemical gas sensors need regular maintenance for accurate measurements.
  • Current calibration procedures require specific working environments and manual intervention.

Purpose of the Study:

  • To develop and validate a smart calibration rig for automated, simultaneous calibration of multiple electrochemical gas sensors.
  • To enhance the reliability and efficiency of sensor maintenance for air quality monitoring applications.

Main Methods:

  • A novel calibration rig integrating gas mixing, temperature control, and a test chamber was designed.
  • An automated LabVIEW-based platform controlled the calibration process, logged data, and applied best-fit equations.
  • Communication utilized the IEEE 802.15.4 (ZigBee) protocol for seamless integration with field deployment systems.

Main Results:

  • The proposed rig enables simultaneous calibration of multiple sensors.
  • Automated data logging and equation application streamlined the recalibration process.
  • The system demonstrated effectiveness in calibrating electrochemical gas sensors.

Conclusions:

  • The developed smart calibration rig significantly improves the efficiency and reliability of electrochemical gas sensor maintenance.
  • This automated system is crucial for ensuring accurate air quality measurements in field deployments.