Highly-Selective Optoelectronic Nose Based on Surface Plasmon Resonance Imaging for Sensing Volatile Organic...

Area of Science:

• Analytical Chemistry
• Sensor Technology
• Optoelectronics

Background:

• Conventional methods for monitoring volatile organic compounds (VOCs) face challenges in large-scale, field applications.
• Existing electronic noses (eNs) often have limited sensor arrays and lack kinetic data, hindering performance.
• A performance gap persists between human olfactory capabilities and current electronic nose technology.

Purpose of the Study:

• To develop a novel optoelectronic nose (eN) to overcome the limitations of conventional VOC monitoring.
• To enhance the selectivity and real-time monitoring capabilities for VOC detection.
• To demonstrate the potential of surface plasmon resonance imaging (SPRi) for gas-phase VOC analysis.

Main Methods:

• Development of a novel optoelectronic nose featuring a large sensor microarray.
• Utilizing multiplexed monitoring of binding events with real-time temporal response.
• Application of surface plasmon resonance imaging (SPRi) for gas-phase VOC detection.
• Integration of cross-reactive sensor microarrays for enhanced discrimination.

Main Results:

• The developed optoelectronic nose demonstrated high selectivity, distinguishing between homologous VOCs with single carbon atom differences.
• The system exhibited good repeatability and stability in VOC detection.
• Preliminary assays confirmed efficiency in analyzing complex VOC mixtures (binary and ternary).

Conclusions:

• Surface plasmon resonance imaging combined with cross-reactive sensor microarrays offers a powerful new analytical tool for VOC detection.
• The novel optoelectronic nose significantly narrows the performance gap with human olfaction.
• The technology shows promise for "real-world" sample analysis across diverse domains.