Highly efficient metalloporphyrin-based nanosensors for NO detection

Area of Science:

• Materials Science
• Environmental Science
• Nanotechnology

Background:

• Growing demand for highly selective, eco-friendly chemical sensors for environmental monitoring and integration into the Internet of Things (IoT).
• Nitrogen oxide (NO) is a harmful anthropogenic gas causing significant health issues upon acute exposure.
• Need for advanced materials capable of detecting low concentrations of NO for environmental safety.

Purpose of the Study:

• To screen bio-inspired metalloporphyrin (MPor) based junctions for detecting dilute amounts of nitrogen oxide (NO).
• To identify materials with high sensitivity, rapid recovery, and selectivity for NO gas sensing applications.
• To computationally evaluate the performance of MPors for nanoscale chemical sensor development.

Main Methods:

• Utilized the density functional non-equilibrium Green's function formalism for computational screening.
• Analyzed adsorption energy, sensitivity, recovery time, and selectivity of MPor-based junctions.
• Investigated the influence of the central metal atom (M) on the electronic properties and sensing performance of MPors.

Main Results:

• Identified chromium porphyrin (CrPor) as a promising material for NO detection.
• The CrPor-based device demonstrated high sensitivity (≈0.85%) and selectivity towards NO over CO and CO2.
• Achieved a rapid sensor recovery time of 0.25 s at a low bias voltage of 0.5 V.

Conclusions:

• Bio-inspired CrPor molecules are highly promising for designing superior NO nanoscale chemical sensors.
• The central metal's electronic structure significantly impacts the sensing performance of MPors.
• The computational approach provides a foundation for future optimization and experimental validation of gas nanosensors.