Electronic sensor for sulfide dioxide based on AlN nanotubes: a computational study

Area of Science:

• Materials Science
• Nanotechnology
• Computational Chemistry

Background:

• Sulfur dioxide (SO₂) is a harmful pollutant with significant environmental and health impacts.
• Developing sensitive and selective gas sensors is crucial for environmental monitoring and industrial safety.

Purpose of the Study:

• To investigate the potential of single-walled aluminum nitride nanotubes (AlNNTs) as an electronic sensor for SO₂ detection.
• To evaluate the sensing performance of pristine AlNNTs using computational methods.

Main Methods:

• Density Functional Theory (DFT) calculations were employed to model the interaction between SO₂ molecules and AlNNTs.
• Analysis of changes in the electronic structure, specifically the HOMO-LUMO energy gap, upon SO₂ adsorption.

Main Results:

• A significant decrease in the HOMO-LUMO energy gap of AlNNTs was observed upon SO₂ adsorption (from 4.11 eV to 1.01 eV), indicating high sensitivity.
• AlNNTs demonstrated excellent selectivity, detecting SO₂ in the presence of other common gases (H₂O, CO, NH₃, HCOH, CO₂, N₂, H₂).
• The calculated adsorption energy suggests a short recovery time for the sensor.

Conclusions:

• Pristine single-walled aluminum nitride nanotubes are a promising material for developing highly sensitive, selective, and fast-recovering electronic sensors for SO₂.
• The proposed AlNNT-based sensor offers a robust and efficient solution for SO₂ monitoring without requiring structural modifications.