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부산대학교 의과대학

Biosens. Bioelectron., Available online 6 October 2021, 113693 | https://doi.org/10.1016/j.bios.2021.113693 Neural Mechanism Mimetic Selective Electronic Nose based on Programmed M13 Bacteriophage

Jong-Min Lee^a,1, Vasanthan Devaraj^a,1, Na-Na Jeong^b,1, Yujin Lee^c, Ye-Ji Kim^c, Taehyeong Kim^d, Seung Heon Yi^d, Won-Geun Kim^a, Eun Jung Choi^a, Hyun-Min Kim^d,*, Chulhun L. Chang^e,*, Chuanbin Mao^f,*, Jin-Woo Oh^a,c,*

^aBio-IT Fusion Technology Research Institute, Pusan National University, Busan, 46241, Republic of Korea
^bDepartment of Public Health Science, Graduate School of Korea University, Seoul, 02841, Korea
^cDepartment of Nano Fusion Technology, Pusan National University, Busan, 46241, Republic of Korea
^dFinance·Fishery·Manufacture Industrial Mathematics Center on Big Data and Department of Mathematics, Pusan National University, Busan, 46241, Korea
^eDepartment of Laboratory Medicine, College of Medicine, Pusan National University, Yangsan, 50612, Korea
^fDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, United States

¹These authors contributed equally to this work.

^*Corresponding authors

Abstract

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).

Keywords : Bacteriophage, Genetic engineering, Biomaterials, Neural pattern separation, Polycyclic aromatic compounds

논문정보

형식Research article
게재일2021년 06월 (BRIC 등록일 2021-10-20)
연구진국내(교신)+국외 연구진
분야 바이오·의료융합 > 바이오센싱 및 나노바이오물질

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