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Low-Temperature Ethanol Sensor via Defective Multiwalled Carbon Nanotubes
Nagih M Shaalan1,2, Faheem Ahmed1, Mohamed Rashad2,3
1Department of Physics, College of Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Materials (Basel, Switzerland)
|July 9, 2022
Summary
This study fabricated defective carbon nanotubes for gas sensing. These nanotubes show high sensitivity and reliability for detecting ethanol at low temperatures, offering a power-efficient sensing solution.
Area of Science:
- Materials Science
- Nanotechnology
- Chemical Engineering
Background:
- Defective carbon nanotubes (CNTs) exhibit unique properties beneficial for sensing applications.
- Catalytic chemical vapor deposition (CCVD) is a key method for fabricating tailored CNT structures.
- Defect sites on CNTs are crucial for enhancing their sensitivity to various gases.
Purpose of the Study:
- To fabricate defective multi-walled carbon nanotubes (MWCNTs) using CCVD.
- To investigate the gas sensing properties of these defective MWCNTs.
- To explore potential sensing mechanisms for improved gas detection.
Main Methods:
- Fabrication of defective MWCNTs via CCVD using Ni and Cr catalysts.
- Characterization of CNT defects using Raman spectroscopy (G-band and D-band analysis).
- Testing the gas sensing performance of the fabricated sensor towards NO, NO2, CO, acetone, and ethanol at 30 °C.
Main Results:
- Defective MWCNTs with porous and crystalline structures were successfully synthesized.
- The sensor demonstrated the highest response (8.8%) towards ethanol at 50 ppm and 30 °C.
- The sensor exhibited reliable detection of ethanol at lower concentrations (2.8% at 5 ppm) and low operating temperatures.
Conclusions:
- Defective MWCNTs are promising materials for highly sensitive and reliable gas sensors.
- The developed sensor offers power-efficient operation due to its low-temperature sensitivity to ethanol.
- Sensing mechanisms involving direct interaction and Coulomb dipole interaction are proposed for gas adsorption on the nanotube surface.

