Porous Material-Based Electronic Noses for the Sensing of Volatile Organic Compounds

Area of Science:

• Materials Science
• Chemical Sensing
• Nanotechnology

Background:

• Volatile organic compounds (VOCs) are crucial biomarkers in environmental monitoring, healthcare, and food safety.
• Detecting VOCs is challenging due to low concentrations and complex sample matrices.
• Porous materials offer tunable properties, high surface areas, and modifiable chemistries, making them ideal for electronic nose (e-nose) sensors.

Purpose of the Study:

• To systematically review porous materials for e-nose applications in VOC detection.
• To explore classification, synthesis, and integration strategies of various porous materials.
• To highlight performance optimization and real-world applications of porous material-based e-noses.

Main Methods:

• Classification and synthesis of porous materials (zeolites, mesoporous silicas, MOFs, carbon materials, porous polymers).
• Integration into e-nose platforms, detailing working principles, sensor array designs, and algorithms.
• Analysis of performance enhancement through molecular sieving, surface functionalization, and pore engineering.

Main Results:

• Porous materials significantly enhance e-nose sensitivity, selectivity, and stability for VOC detection.
• Demonstrated applications in medical diagnostics, environmental monitoring, and food quality control.
• Identified challenges include long-term stability, scalability, standardization, and anti-interference.

Conclusions:

• Porous materials are transformative for e-nose technology, enabling precise and reliable VOC detection.
• Future directions include miniaturization, AI-driven analysis, sensor fusion, and bioinspired designs.
• Porous material-based e-noses are poised for next-generation intelligent sensing systems.