News Releases, DOS 2022, Tokyo – February 24, 2022
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.
In this fascinating research, Lee et al., 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.
The electronic nose is demonstrated 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.
Those results provide practical methodology and inspiration for the second-generation electronic nose development toward the performance of detection dogs (K9).
November 29-30, 2022 – Tokyo, Japan & Online