4.7 Article

Screening of target-specific olfactory receptor and development of olfactory biosensor for the assessment of fungal contamination in grain Screening of target-specific olfactory receptor and development of olfactory biosensor for the assessment of fungal contamination in grain

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 210, Issue -, Pages 9-16

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2014.12.060

Keywords

Bioelectronic nose; Nanovesicle; Carbon nanotube; Fungal contamination; 1-Octen-3-ol

Funding

  1. National Research Foundation of Korea (NRF) grant - Ministry of Science, ICT & Future Planning
  2. NRF [2014039771, 2014053108, 2013M3A6B2078958, 2014M3A7B4051591]
  3. Seoul National University Brain Fusion Program Research [80020130440]
  4. National Research Foundation of Korea [2014M3A7B4051591] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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We herein report an integrated olfactory system to carbon nanotube platforms for biosensing applications. In particular, this system can be used for the real-time monitoring of fungal contamination in grain through detecting 1-octen-3-ol, which is specifically generated from contaminated grain. A specific human olfactory receptor (OR) that recognizes 1-octen-3-ol was found using a cyclic adenosine monophosphate (cAMP) response element (CRE)-reporter gene assay. Then, OR-containing nanovesicles were produced from human embryonic kidney (HEK)-293 cells. The nanovesicles, which generate olfactory signals using endogenous cellular components and over-expressed ORs, were integrated into single-walled carbon nanotubes field-effect transistors (SWNT-FETs). The nanovesicles and SWNT-FETs play roles in perceiving specific odorants, and in amplifying cellular signals, respectively. Thus, the nanovesicle-integrated device was able to detect 1-octen-3-ol with excellent sensitivity and selectivity, similar to the original olfactory system. This system can be effectively utilized for the real-time measurement of fungal contamination in grain. (C) 2014 Elsevier B.V. All rights reserved.

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