中文摘要：电子鼻是模拟嗅觉器官的可靠实用的传感器装置。尽管许多研究已经证明，借助理想模型可以很好地检测各种目标物质，但由于无法模拟嗅觉神经系统进行信号处理，仿生方法在实际实现中仍然存在困难。本研究根据哺乳动物嗅觉系统的神经机制，提出了一种基于M13噬菌体可设计表面化学电子鼻。设计神经模式分离（NPS），将大脑记忆和学习过程中的模式分离应用于电子鼻。本研究首次展示了便携式电子鼻，能以原子级分辨率（97.5%的选择性）区分多环芳烃化合物（对生活环境有害）。本研究结果为第二代电子鼻的发展提供了实用的方法和灵感，提高探测狗（K9）的性能。
外文摘要：The electronic nose is a reliable practical sensor device that mimics olfactory organs. Although numerous studies have demonstrated excellence in detecting various target substances with the help of ideal models, biomimetic approaches still suffer in practical realization because of the inability to mimic the signal processing performed by olfactory neural systems. Herein, we propose an electronic nose based on the programable surface chemistry of M13 bacteriophage, inspired by the neural mechanism of the mammalian olfactory system. The neural pattern separation (NPS) was devised to apply the pattern separation that operates in the memory and learning process of the brain to the electronic nose. We demonstrate an electronic nose in a portable device form, distinguishing polycyclic aromatic compounds (harmful in living environment) in an atomic-level resolution (97.5% selectivity rate) for the first time. Our results provide practical methodology and inspiration for the second-generation electronic nose development toward the performance of detection dogs (K9).
外文关键词：Bacteriophage；Genetic engineering；Biomaterials；Neural pattern separation；Polycyclic aromatic compounds
作者：Lee, JM；Devaraj, V；Jeong, NN；Lee, Y；Kim, YJ；Kim, T；Yi, SH；Kim, WG；Choi, EJ；Kim, HM；Chang, CL；Mao, CB；Oh, JW
作者单位：Pusan Natl Univ；Korea Univ；Univ Oklahoma；Hallym Univ
期刊名称：BIOSENSORS & BIOELECTRONICS
期刊影响因子：10.257
出版年份：2022
出版刊次：
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