双模
材料科学
对偶(语法数字)
感觉系统
气味
纳米技术
模式识别(心理学)
神经科学
人工智能
计算机科学
生物
工程类
航空航天工程
文学类
艺术
作者
Alituniguli Maimaiti,Kai Zhu,Bing Yan
标识
DOI:10.1002/adfm.202412817
摘要
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.
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