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Reseach Article

Basic and Mixed Taste Analysis using Voltammetric Electronic Tongue

Published on None 2011 by Subrata Sarkar, Devdulal Ghosh, Nabarun Bhattacharyya, Rajib Bandyopadhyay, Ajit Kumar Mandal
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 17
None 2011
Authors: Subrata Sarkar, Devdulal Ghosh, Nabarun Bhattacharyya, Rajib Bandyopadhyay, Ajit Kumar Mandal
9ab70d6e-6a55-4a51-87a0-7e8193e97b83

Subrata Sarkar, Devdulal Ghosh, Nabarun Bhattacharyya, Rajib Bandyopadhyay, Ajit Kumar Mandal . Basic and Mixed Taste Analysis using Voltammetric Electronic Tongue. International Conference on VLSI, Communication & Instrumentation. ICVCI, 17 (None 2011), 27-32.

@article{
author = { Subrata Sarkar, Devdulal Ghosh, Nabarun Bhattacharyya, Rajib Bandyopadhyay, Ajit Kumar Mandal },
title = { Basic and Mixed Taste Analysis using Voltammetric Electronic Tongue },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 17 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 27-32 },
numpages = 6,
url = { /proceedings/icvci/number17/2759-1651/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Subrata Sarkar
%A Devdulal Ghosh
%A Nabarun Bhattacharyya
%A Rajib Bandyopadhyay
%A Ajit Kumar Mandal
%T Basic and Mixed Taste Analysis using Voltammetric Electronic Tongue
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 17
%P 27-32
%D 2011
%I International Journal of Computer Applications
Abstract

A voltammetric electronic tongue consisting of a composite metal base electrode array for discrimination of basic taste has been presented. The electrode array consisting of Gold, Nickel, Palladium, Copper and Glassy Carbon as working electrode, has been used for transforming information of taste substances into electric signal. The electrodes output show different patterns for chemical substances that have different taste qualities such as saltiness, sourness, sweetness and bitterness. Experiments were carried out on 10 different chemical solutions eliciting 4 different basic tastes (namely salty, sour, sweet and bitter) at 1 M (or 1N) aqueous solution. Experiments have also performed on the mixed taste i.e., taste consisting of four basic taste parameters. Principal component analysis (PCA) was used for visual inspection of data set. Classification was performed by statistical method. A fairly high degree of discrimination was obtained.

References
  1. Toko, K. 2004. Measurement of taste and smell using biomimetic sensor. 17th IEEE International Conference on Micro Electro Mechanical Systems, 201 – 207.
  2. Toko, K. 2002. New food culture with digitized taste. In Proceedings of International Symposium on Micromechatronics and Human Science, 17 – 24.
  3. Chandrashekar, J, Hoon, M.A., Ryba, N.J., & Zuker, C.S. 2006. The receptors and cells for mammalian taste. Nature, 444 (7117), 288–294.
  4. Ikeda, K. 2002. New seasonings. Chemical Senses, 27 (9), 847–9.
  5. Dutta, R., Kashwan, K. R., Bhuyan, M., Hines, E. L. & Gardner, J. W. 2003. Electronic nose based tea quality standardization. Advances in Neural Networks Research: IJCNN, 16, 847-853.
  6. DeSimone, J.A., Heck, G.L. & Ye, Q.1991. Electrophysiological studies of salt-sensitive taste receptors. IEEE Proceedings of Southeastcon, 1, 286 – 288.
  7. Pioggia, G., Francesco, F. Di., Marchetti, A., Ferro, M., Leardi, R. & Ahluwalia, A. 2007. A composite sensor array impedentiometric electronic tongue; Part II. Discrimination of basic tastes. Biosensors and Bioelectronics, 22, 2624– 2628.
  8. Legin, A., Rudnitskaya, A., Clapham, D., Seleznev, B., Lord, K. & Vlasov, Y. 2004. Electronic tongue for pharmaceutical analytics: quantification of tastes and masking effects. Anal Bioanal Chem, 380, 36–45.
  9. Toko, K. 2000. Taste sensor. Sensors and Actuators B, 64, 205–215.
  10. Lucena, R., Cárdenas, S., Gallego, M., & Valcárcel, M. 2005. ATR-FT-IR Membrane-Based Sensor for Integrated Microliquid−Liquid Extraction and Detection. Anal. Chem., 77 (22), 7472–7477.
  11. Donoho, D.L. 1995. De-noising by soft-thresholding. IEEE Trans. on Inf. Theory, 41 (3), 613-627.
  12. Antoniadis, A., Oppenheim, G. Eds., Wavelets and statistics, 1995, 103, Lecture Notes in Statistics, Springer Verlag.
  13. Filipe, C. da, Diniz, C. B., & Netto, S. L. 2005. A Package Tool for General-purpose Signal Denoising. IEEE International Conference on Acoustics, Speech, and Signal Processing.
  14. Donoho, D.L., Johnstone, I.M. 1994. Ideal spatial adaptation by wavelet shrinkage. Biometrika, 81, 425-455.
  15. Moore, B. 1981. Principal Component Analysis in Linear Systems: Controllability, Observability, and Model Reduction. IEEE Transactions on Automatic Control, 26, 17- 31.
  16. Dodge, Yadolah 2003. The Oxford Dictionary of Statistical Terms. Oxford University Press.
  17. Schaafsma, W., van der Meulen, E. A., Läuter, J., Steerneman, A. G. M., van Vark, G. N. & Wilmink,F. W. 1990. Statistical aspects of Mahalanobis distance based methodology. Human Evolution, 5(5), 483-491.
Index Terms

Computer Science
Information Sciences

Keywords

Electronic Tongue Voltammetry Basic Taste Virtual Instrumentation