Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

The CpG island methylator phenotype defines an immune-cold and therapy-resistant subtype of cutaneous melanoma.

Frontiers in immunology·2026

Same author

A Centrifugal Microfluidic Platform Integrating Immunomagnetic Separation and Isothermal Amplification for Rapid and High-Sensitivity Detection of Foodborne Pathogens.

Biosensors·2026

Same author

Alkalinity-Dependent Dual Role of Sodium Sulfate in Alkali-Activated Slag: From Synergistic Activation to Competitive Inhibition.

Materials (Basel, Switzerland)·2026

Same author

Binding of bacteria to magnetic nanoparticles in suspension: Experiments and kinetic models.

Biotechnology progress·2026

Same author

Advances in the Preparation, Characterization, and Bioactivity of Oligosaccharides From Traditional Chinese Medicine Polysaccharides: A Comprehensive Review.

Chemistry & biodiversity·2026

Same author

Global trends in medical adhesive-related skin injury research from 2013 to 2024: A bibliometric analysis via CiteSpace.

Medicine·2026

Search research articles

Related Experiment Video

Updated: May 23, 2026

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique

Published on: March 24, 2023

Modeling Carbon-Black/Polymer Composite Sensors.

Hua Lei¹, William G Pitt, Lucas K McGrath

¹Department of Chemical Engineering, Brigham Young University, 350 Clyde Building, Provo, UT 84602, USA.

Sensors and Actuators. B, Chemical

|April 21, 2012

Summary

A new mathematical model enhances conductive polymer composite sensors for identifying gaseous analytes. This model accurately predicts sensor responses and estimates analyte concentrations, guiding future sensor design.

More Related Videos

Fabrication of 3D Carbon Microelectromechanical Systems (C-MEMS)

Fabrication of 3D Carbon Microelectromechanical Systems (C-MEMS)

Published on: June 17, 2017

Development of Whispering Gallery Mode Polymeric Micro-optical Electric Field Sensors

Development of Whispering Gallery Mode Polymeric Micro-optical Electric Field Sensors

Published on: January 29, 2013

Related Experiment Videos

Last Updated: May 23, 2026

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique

Published on: March 24, 2023

Fabrication of 3D Carbon Microelectromechanical Systems (C-MEMS)

Fabrication of 3D Carbon Microelectromechanical Systems (C-MEMS)

Published on: June 17, 2017

Development of Whispering Gallery Mode Polymeric Micro-optical Electric Field Sensors

Development of Whispering Gallery Mode Polymeric Micro-optical Electric Field Sensors

Published on: January 29, 2013

Area of Science:

Materials Science
Chemical Engineering
Sensor Technology

Background:

Conductive polymer composite sensors show promise for detecting gaseous analytes.
Understanding the underlying physical and chemical mechanisms is crucial for sensor improvement.

Purpose of the Study:

Develop a mathematical model to link analyte concentration with sensor signals.
Investigate the relationship between sensor response and vapor pressure for specific analytes.

Main Methods:

Constructed 64 chemiresistors using carbon-black/polyisobutylene composites with varying carbon concentrations.
Deposited thin films onto silicon chips with platinum electrodes.
Measured sensor responses in dry air against toluene and trichloroethylene vapor pressures.

Main Results:

A combined conductivity and thermodynamic model was developed.
Three conductivity model parameters were determined by fitting experimental data.
The model adequately predicted sensor responses and estimated analyte concentrations.

Conclusions:

The developed mathematical model provides a framework for understanding conductive polymer composite sensor mechanisms.
The model can guide the design and fabrication of improved sensors for detecting organic vapor mixtures.