Characterization and classification of Spanish paprika (Capsicum annuum L.) by liquid chromatography coupled to electrochemical detection with screen-printed carbon-based nanomaterials electrodes

Núria Serrano; Xavier Cetó; Oscar Núñez; Miriam Aragó; Alejandro Gámez; Cristina Ariño; José Manuel Díaz-Cruz

doi:10.1016/j.talanta.2018.06.085

Characterization and classification of Spanish paprika (Capsicum annuum L.) by liquid chromatography coupled to electrochemical detection with screen-printed carbon-based nanomaterials electrodes

Talanta. 2018 Nov 1:189:296-301. doi: 10.1016/j.talanta.2018.06.085. Epub 2018 Jul 4.

Authors

Núria Serrano¹, Xavier Cetó², Oscar Núñez³, Miriam Aragó², Alejandro Gámez², Cristina Ariño², José Manuel Díaz-Cruz²

Affiliations

¹ Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain. Electronic address: nuria.serrano@ub.edu.
² Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain.
³ Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain; Research Institute in Food Nutrition and Food Safety, University of Barcelona, Av. Prat de la Riba 171, Edifici Recerca (Gaudí), E-08901 Santa Coloma de Gramanet, Barcelona, Spain; Serra Hunter Fellow, Generalitat de Catalunya, Spain.

PMID: 30086921
DOI: 10.1016/j.talanta.2018.06.085

Abstract

Screen-printed electrodes based on graphite, carbon nanotubes, carbon nanofibers, and graphene were tested as amperometric detectors for the determination of phenolic compounds by high performance liquid chromatography (HPLC). The chromatographic performance as well as the obtained sensitivity, detection and quantification limits suggest that carbon nanofibers modified screen-printed electrode (SPCE-CNF) is the amperometric sensor that provides the best analytical performance. Upon this confirmation, chromatographic data obtained using SPCE-CNF were exploited by means of linear discriminant analysis (LDA) to successfully characterize and classify 96 Spanish paprika (Capsicum annuum L.) samples with different origin and type: from La Vera (including sweet, bittersweet and spicy types) and from Murcia (including sweet and spicy types).

Keywords: Carbon-based screen-printed electrodes; Electrochemical detection; Liquid chromatography; Paprika (Capsicum annuum L.); Polyphenols.