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Comparison of methods for the processing of voltammetric electronic tongues data

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Abstract

We are making a numerical comparison of various preprocessing strategies for dealing with data from voltammetric electronic tongues in order to reduce the high dimensionality of the response matrices. Different modelling tools are presented and briefly described. We then compare combinations of four preprocessing strategies (principal component analysis, fast Fourier transform, discrete wavelet transform, voltammogram-windowed slicing integral) with four modelling alternatives (principal component regression, partial least squares regression, multi-way partial least squares regression, artificial neural networks) by employing data from a voltammetric bioelectronic tongue, an array formed by enzyme-modified biosensors and applied to the discrimination and quantification of phenolic compounds.

We are making a numerical comparison of various preprocessing strategies for dealing with data from voltammetric electronic tongues in order to reduce the high dimensionality of the response matrices

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Acknowledgments

Financial support for this work was provided by Spanish Ministry of Science and Innovation, MCINN (Madrid) trough projects CTQ2010-17099 and by program ICREA Academia. X. Cetó thanks the support of Dept. d’Innovació, Universitats i Empresa de la Generalitat de Catalunya for the predoctoral grant.

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  1. Sensors and Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Edifici Cn, 08193, Bellaterra, Barcelona, Spain

    Xavier Cetó, Francisco Céspedes & Manel del Valle

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  1. Xavier Cetó
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  2. Francisco Céspedes
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  3. Manel del Valle
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Correspondence to Manel del Valle.

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Cetó, X., Céspedes, F. & del Valle, M. Comparison of methods for the processing of voltammetric electronic tongues data. Microchim Acta 180, 319–330 (2013). https://doi.org/10.1007/s00604-012-0938-7

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