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      In vivo bioelectronic nose using transgenic mice for specific odor detection

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      Biosensors and Bioelectronics
      Elsevier BV

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          Abstract

          The olfactory system is a natural biosensor since its peripheral olfactory sensory neurons (OSNs) respond to the external stimuli and transmit the signals to the olfactory bulb (OB) where they are integrated and processed. The axonal connections from the OSNs expressing about 1000 different types of odorant receptors are precisely organized and sorted out onto 1800 glomeruli in the OB, from which the olfactory information is delivered to and perceived by the central nervous system. This process is carried out with particularly high sensitivity, specificity and rapidity, which can be used for explosive detection. Biomimetic olfactory biosensors use various biological components from the olfactory system as sensing elements, possessing great commercial prospects. In this study, we utilized the genetically labeled murine M72 olfactory sensory neurons with the green fluorescent protein (GFP) as sensing components and obtained long-term in vivo electrophysiological recordings from the M72 OSNs by implanting the microelectrode arrays (MEAs) into the behaving mouse's OB. The electrophysiological responses showed high reliability, reproducibility and specificity for odor detection, and particularly, the high sensitivity for the detection of odorants that contain benzene rings. Furthermore, our results indicated that it can detect trinitrotoluene (TNT) in liquid at a concentration as low as 10-5M and can distinguish TNT from other chemicals with a similar structure. Thus our study demonstrated that the in vivo biomimetic olfactory system could provide novel approaches to enhancing the specificity and increasing working lifespan of olfactory biosensors capable of detecting explosives.

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          Author and article information

          Journal
          Biosensors and Bioelectronics
          Biosensors and Bioelectronics
          Elsevier BV
          09565663
          April 2018
          April 2018
          : 102
          : 150-156
          Article
          10.1016/j.bios.2017.08.055
          29128717
          f3e00be9-cb10-4bbc-b8bb-78a7ab3bd852
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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