This research has developed an electronic nose that combines gas sensors with machine learning to detect food spoilage and hidden allergens. By recognizing unique scent signatures more accurately than the human nose, the technology could improve food safety, prevent allergic reactions, reduce food waste, and eventually be integrated into everyday devices.

This research highlights the limitations of current food safety detection and introduces nanoparticle-based smart packaging. These nanosensors detect gases from spoilage and signal safety through colour changes. By replacing guesswork with real-time indicators, this approach could prevent foodborne illness, improve consumer confidence, and modernise food safety in an increasingly technological world.