Literature DB >> 23578970

Electrochemical impedance spectrum frequency optimization of bitter taste cell-based sensors.

Guo-Hua Hui1, Peng Ji, Shan-Shan Mi, Shao-Ping Deng.   

Abstract

Electrochemical impedance spectrum frequency optimization to bitter taste receptor cell-based sensors is discussed in this paper. The bitter taste receptor cells (the enteroendocrine STC-1 cells and the ICR mouse isolated taste bud cells) are cultured on carbon screen printed electrodes and used as sensing elements. The HEK-293 cells and dead isolated ICR mouse taste bud cells, without bitter taste receptor expression, are used in negative control experiments. The electrochemical impedance spectrum data is recorded and processed by bistable stochastic resonance for signal-to-noise ratio analysis. The bitter taste receptor cell-based sensor selectively responds to bitter tastants. The tastants species and concentrations can be decided by signal-to-noise ratio parameters. The signal-to-noise ratio eigen peak changes with the shift of electrochemical impedance spectrum frequencies. ICR mouse isolated taste bud cell-based sensor presents bitter tastants perception abilities. 9kHz is the optimal frequency for STC-1 cell-based sensor measurement. For isolated ICR mouse taste bud cells, 1.2kHz is the optimal frequency. Negative control experiments results indicate that cells with no taste receptor expression have no discriminating ability for tastant even if they are modulated by different frequencies. The taste cell-based sensor is of great practical value.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23578970     DOI: 10.1016/j.bios.2013.03.018

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  1 in total

1.  Penaeus orientolis prawn freshness rapid determination method based on electronic nose and non-linear stochastic resonance technique.

Authors:  Liu Wei; Han Yuanyuan; Cai Yanping; Jin Jiaojiao; Hui Guohua
Journal:  Bioengineered       Date:  2015-01-27       Impact factor: 3.269

  1 in total

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