Co₃[Co(CN)₆]₂-Mediated Olfactory and Visual Dual-Modality Ammonia Sensing

Area of Science:

• Materials Science
• Chemical Sensing
• Nanotechnology

Background:

• The ammonia (NH3) economy requires robust leakage detection systems.
• Olfactory sensing provides fast response and wide range, while visual sensing offers high selectivity.
• Synergistic mediators for dual-modality NH3 sensing are underdeveloped.

Purpose of the Study:

• To develop novel mediators for combined olfactory and visual ammonia sensing.
• To create a dual-modality sensing device for reliable NH3 leakage detection.
• To enhance NH3 detection selectivity and sensitivity.

Main Methods:

• Synthesis of Cobalt hexacyanoferrate (Co-CN) microcube mediators.
• Fabrication of porous chitosan-decorated microcages (CS@Co-O/Co-CN MCGs) for olfactory sensing.
• Development of colorimetric sensing paper (CSP) for visual NH3 detection.
• Machine learning for selective classification of sensing data.

Main Results:

• CS@Co-O/Co-CN MCGs demonstrated a 1s response time and 0.5-10,000 ppm detection range at room temperature.
• CSP exhibited visual NH3 detection from 10-320 ppm via a color transition.
• Machine learning enhanced the selectivity of the dual-modality sensing system.
• Combined sensing achieved boosted NH3 adsorption and synergistic heterostructure effects.

Conclusions:

• Co-CN microcube mediators enable effective dual-modality ammonia sensing.
• The developed sensing device integrates olfactory and visual detection for reliable NH3 monitoring.
• This approach addresses the need for comprehensive NH3 leakage detection in the emerging ammonia economy.