Dual‐Mode Bionic Visual–Olfactory Co‐Sensory for On‐Site Biogenic Amines Recognition and Food Freshness Prediction

Abstract The thriving of high‐performance artificial synaptic neuromorphic platforms poses a significant challenge for creating bionic sensors that can integrate multi‐sensory information. For the purpose of realizing this objective, promising bionic visual‐olfactory co‐sensory artificial synaptic devices are developed based on a hydrogen‐bonded organic framework (Eu@HOF‐12). This probe is capable of dual‐emissive‐responsive to biogenic amines (BAs), which are essential indicators for the evaluation of food freshness. Importantly, it demonstrates outstanding advantages, including high sensitivity, ultrafast responses (<6 s), and practicability of recyclability, which can be combined with smartphones for on‐site BAs detection via the colorimetric and ratiometric hydrogel sensor. Besides, a bionic visual‐olfactory co‐sensory based on the human‐computer interaction platform is constructed, which can realize the identification of five types of BAs with high precision through the specific odor fingerprint. Meanwhile, a logic device is utilized for the rapid identification of food freshness considering the hydrogel sensor's dual‐mode responses to BAs. Overall, this research develops an odor visualization strategy that enables on‐site, real‐time, and sensitive monitoring of food quality assessment. In addition, a quantitative assessment system is designed for fast, damage‐free, and accurate assessment of food freshness, ultimately reducing food waste and generating significant economic value.