Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31658
Title: Olfactory mucosa tissue-based biosensor : a bioelectronic nose with receptor cells in intact olfactory epithelium
Authors: Liu, Q
Ye, W
Yu, H
Hu, N
Du, L
Wang, P
Yang, M 
Keywords: Bioelectronic nose
Cell- and tissue-based biosensor
Light-addressable potentiometric sensor
Olfactory mucosa
Olfactory receptor neuron
Issue Date: 2010
Publisher: Elsevier
Source: Sensors and actuators. B, Chemical, 2010, v. 146, no. 2, p. 527-533 How to cite?
Journal: Sensors and actuators. B, Chemical 
Abstract: The biological olfactory system can distinguish thousands of different odors. Bioelectronic nose based on olfactory cells can be developed to realize the biomimetic design of an electronic nose. In this study, olfactory mucosa tissue of rat was isolated and fixed onto the surface of a light-addressable potentiometric sensor (LAPS), with the natural state of the neuronal populations and functional receptor units of the cilia well preserved. The electrical properties of the tissue-semiconductor interface were analyzed by the volume conductor theory and the sheet conductor model. Then, the local field extracellular potentials of the receptor cells in the olfactory mucosa tissue were simulated and monitored. The results suggested that this tissue-semiconductor hybrid system was sensitive to odorants stimulus. We believe that the receptor cell-based biosensor technology is a valuable tool to record data with high information content with respect to odors stimulation in the intact cellular environment of the olfactory epithelium. Due to the advantages of intact epithelium, this novel technology will potentially bridge the gap between conventional in vitro methods and complex in vivo experiments for a bioelectronic nose.
URI: http://hdl.handle.net/10397/31658
ISSN: 0925-4005
EISSN: 1873-3077
DOI: 10.1016/j.snb.2009.12.032
Appears in Collections:Journal/Magazine Article

SFX Query Show full item record

SCOPUSTM   
Citations

26
Last Week
0
Last month
1
Citations as of Dec 16, 2017

WEB OF SCIENCETM
Citations

19
Last Week
0
Last month
Citations as of Dec 18, 2017

Page view(s)

47
Last Week
1
Last month
Citations as of Dec 18, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.