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Drift correction of electronic tongue responses
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology, Applied Physics .
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology, Applied Physics .
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology, Applied Physics .
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology, Applied Physics .
2001 (English)In: Measurement science and technology, ISSN 0957-0233, E-ISSN 1361-6501, Vol. 12, no 8, 1348-1354 p.Article in journal (Refereed) Published
Abstract [en]

In this article, drift correction algorithms were used in order to remove linear drift in multivariate spaces of two data sets obtained by an electronic tongue based on voltammetry. The electronic tongue consisted of various metal electrodes (Au, Ir, Pt, Rh) combined with pattern recognition tools, such as principal component analysis. The first data set contained different types of liquid, from well defined to more complex solutions. The second data set contained different black and green teas. Component correction (CC) was compared to a simple additive correction. In CC, the drift direction of measured reference solutions in a multivariate space was subtracted from other types of solution. In additive correction, responses from reference samples were subtracted from other samples. CC showed similar or better performance in reducing drift compared to additive correction for the two data sets. The additive correction method was dependent on the fact that the differences in between samples of a reference solution were similar to the changes in between samples of other liquids, which was not the case with CC.

Place, publisher, year, edition, pages
2001. Vol. 12, no 8, 1348-1354 p.
Keyword [en]
Additive correction, Component correction, Electronic tongue, Voltammetry
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-47302DOI: 10.1088/0957-0233/12/8/350OAI: oai:DiVA.org:liu-47302DiVA: diva2:268198
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2017-12-13

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Holmin, SusanneKrantz-Rülcher, ChristinaLundström, IngemarWinquist, Fredrik

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