A hybrid sensing system combining simultaneous optical and electrochemical measurements: Application to beer discrimination.

Autor: Pérez-Ràfols C; Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, 08028, Barcelona, Spain; Water Research Institute (IdRA), University of Barcelona, Martí i Franquès 1-11, 08028, Barcelona, Spain., Serrano N; Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, 08028, Barcelona, Spain; Water Research Institute (IdRA), University of Barcelona, Martí i Franquès 1-11, 08028, Barcelona, Spain. Electronic address: nuria.serrano@ub.edu., Díaz-Cruz JM; Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, 08028, Barcelona, Spain; Water Research Institute (IdRA), University of Barcelona, Martí i Franquès 1-11, 08028, Barcelona, Spain.
Jazyk: angličtina
Zdroj: Talanta [Talanta] 2022 May 01; Vol. 241, pp. 123273. Date of Electronic Publication: 2022 Jan 29.
DOI: 10.1016/j.talanta.2022.123273
Abstrakt: A hybrid sensing system, which combines simultaneous cyclic voltammetric (CV) and UV-vis absorbance measurements using a commercial carbon screen-printed electrode and a set of optical fibres in disposable cuvettes, is proposed. The hybrid system approach was applied to 27 samples of recognized beer brands, improving the classification power as compared to only voltammetric or only spectrophotometric measurements. The developed partial least squares discriminant analysis (PLS-DA) model was able to discriminate between five types of beer (lager, marzen, black/stout, alcohol-free and white/ale). The model was also successfully applied to 28 beer samples of white-label brands sold in local supermarkets, demonstrating their similarity to recognized brand beers.
(Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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