An Artificial Olfactory Memory System for Monitoring and Recording of Volatile Organic Compounds,Advanced Materials Technologies

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An Artificial Olfactory Memory System for Monitoring and Recording of Volatile Organic Compounds
Advanced Materials Technologies ( IF 6.4 ) Pub Date : 2021-07-02 , DOI: 10.1002/admt.202100366
Chaoyi Ban ₁ , Xinjie Min ₂ , Jingxuan Xu ₁ , Fei Xiu ₁ , Yijie Nie ₁ , Yuefan Hu ₁ , Heshan Zhang ₁ , Mustafa Eginligil ₁ , Juqing Liu ₁ , Wei Zhang ₃ , Wei Huang _{1,

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Affiliation

In biology, the sensory memory system plays a critical role by providing awareness and guidance for human action/decision. Olfactory memory, which is based on odor detection by receptor cells within the nasal cavity and followed by rapid decision making in the brain, is one of the most important, but least studied, sensory memory systems. Mimicking the olfactory memory by developing recognition, learning, and memorization of gas sensing is a long-sought aim in artificial intelligence. Herein, an artificial olfactory memory system is experimentally demonstrated by integrating gas sensors with resistive memory. The system shows prominent selectivity toward volatile organic compounds (VOCs), and can be electrically programmed. The memory device can be triggered to sense gas above a certain threshold of VOC concentration, providing a smell sensation retaining, and leading to recognition of the gas information. This smart olfactory memory system can be directly used in robotics and artificial intelligent systems for various applications, such as environmental pollution control, early-warning chemical and bio hazard safety, and augmented smart industrial production.

中文翻译：

用于监测和记录挥发性有机化合物的人工嗅觉记忆系统

在生物学中，感觉记忆系统通过为人类行为/决定提供意识和指导而发挥着关键作用。嗅觉记忆是最重要但研究最少的感觉记忆系统之一，它基于鼻腔内受体细胞的气味检测，然后在大脑中快速做出决策。通过发展对气体感应的识别、学习和记忆来模仿嗅觉记忆是人工智能中一个长期追求的目标。在此，通过将气体传感器与电阻记忆相结合，实验证明了人工嗅觉记忆系统。该系统对挥发性有机化合物 (VOC) 显示出突出的选择性，并且可以进行电气编程。可以触发存储设备以检测高于特定 VOC 浓度阈值的气体，提供嗅觉保留，并导致气体信息的识别。这种智能嗅觉记忆系统可直接用于机器人和人工智能系统的各种应用，如环境污染控制、预警化学和生物危害安全以及增强智能工业生产。

更新日期：2021-07-02

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