A novel Arduino Mega 2560 microcontroller-based electronic tongue for dairy product classification

Tazi, Imam and Triyana, Kuwat and Siswanta, Dwi (2016) A novel Arduino Mega 2560 microcontroller-based electronic tongue for dairy product classification. AIP Conference Proceedings, 1758. p. 170003. ISSN 0094-243X

[img] Text (full text)
2596.pdf - Published Version

Download (0B)
Full text available at: http://doi.org/10.1063/1.4958605

Abstract

An electronic tongue (e-tongue) consisted of a sensor array of the ion-selective electrode based on lipid/polymer membranes has been developed. The e-tongue consisted of 8 sensors with gold electrodes and equipped with an Arduino Mega 2560 Microcontroller-based data acquisition system. The lipid/polymer membranes were fabricated by combining polyvinyl chloride (PVC) as a matrix, 4 different kinds of plasticiser material (2-NPOE, bis(2-ethylhexyl) sebacate, bis(2-ethylhexyl) phosphate, and cis(1-butyl pentyl) adipate), and 4 different kinds of lipids (octadecyl amine, oleoyl alcohol, methyl trioctylammonium chloride, and oleic acid) for an active material. Potentiometric measurements were carried out with a reference electrode Ag/AgCl. Data logger was equipped with a moving average filter for reducing the noise. From the score plot of principal component analysis (PCA), the first and second PCs contribute 90.5% of the total variance. It indicates that the developed e-tongue is able to classify dairy products according to the types and brands.

Item Type: Journal Article
Divisions: Faculty of Mathematics and Sciences > Department of Physics
Depositing User: Dian Anesti
Date Deposited: 28 May 2018 02:22

Downloads

Downloads per month over past year

Origin of downloads

Actions (login required)

View Item View Item