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Identification of taste solutions and their binary mixtures using SH-SAW resonator-based taste sensor

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Cole, Marina, Leonte, I., Gardner, J. W. and Hesketh, P. J. (2008) Identification of taste solutions and their binary mixtures using SH-SAW resonator-based taste sensor. In: 7th IEEE Conference on Sensors, Lecce, Italy, Oct 26-29, 2008. Published in: Proceedings of the 7th IEEE Conference on Sensors pp. 1556-1559. doi:10.1109/ICSENS.2008.4716745 ISSN 1930-0395 .

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Official URL: http://dx.doi.org/10.1109/ICSENS.2008.4716745

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Abstract

A novel two-port resonator-based shear-horizontal surface acoustic wave (SH-SAW) sensor has been designed for liquid analysis. The device operates at a wireless ISM frequency of 434 MHz and is built on a 36deg YX LiTaO3 piezoelectric substrate. It relies on a purely physical detection mechanism and it has been designed to function without the need for analyte-specific coatings. The sensor proved successful in identification of all six tastes: alongside the four classical tastes - saltiness, sweetness, sourness, and bitterness - test samples included solutions simulating the umami and metallic tastes. The taste sensor was also able to separate between samples of the same taste class (e.g. caffeine and quinine hydrochloride of the bitter class) as well as to detect and classify samples of the same substance with different concentrations. Furthermore, the potential to identify binary mixtures and separate them from original component solutions was tested and confirmed experimentally.

Item Type: Conference Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Electrochemical sensors, Taste -- Measurement, Detectors, Electric resonators
Journal or Publication Title: Proceedings of the 7th IEEE Conference on Sensors
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1930-0395
Book Title: 2008 IEEE Sensors
Official Date: 2008
Dates:
DateEvent
2008Published
Page Range: pp. 1556-1559
DOI: 10.1109/ICSENS.2008.4716745
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 7th IEEE Conference on Sensors
Type of Event: Conference
Location of Event: Lecce, Italy
Date(s) of Event: Oct 26-29, 2008

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