RT info:eu-repo/semantics/article T1 Direct determination of monosaccharides in honey by coupling a sensitive new Schiff base Ni complex electrochemical sensor and chemometric tools A1 Revenga Parra, M. A1 Robledo, S. N. A1 Martínez Periñán, E. A1 Qonzález Quirós, M. M. A1 Colina Santamaría, Álvaro A1 Heras Vidaurre, Aránzazu A1 Pariente, F. A1 Lorenzo, E. K1 Schiff base complexes K1 Glucose and fructose direct determination K1 Chemometric tools K1 Electrochemical sensor K1 PLSR K1 Química analítica K1 Chemistry, Analytic AB The determination and quantification of saccharides is of considerable importance in the food industry among other fields. In this work, we describe for the first time the preparation of the Schiff base Ni complex, NiII-(N,N’-bis(2,3-dihydroxybenzylidene)-1,2-diaminobenzene) (Ni(II)-2,3dhS) obtained by reaction of the tetradentate Schiff base ligand containing ortho quinone functional groups (N,N’-bis(2,3-dihydroxybenzylidene)-1,2-diaminobenzene) and Ni2+, as well as its application in the development of an electrochemical sensor. Coupled to chemometric tools, the sensor allowed the direct determination of glucose and fructose in honey, without the need of previous separation steps or chromatographic techniques. For this purpose, the new Schiff base Ni complex has been electropolymerized onto screen-printed electrodes modified with carbon nanotubes. The electropolymerization process has been exhaustively characterized by operando spectroelectrochemical techniques to confirm the generation of the desired polymer. The resulting modified electrodes present a strong electrocatalytic activity towards the oxidation of glucose and fructose in alkaline solution and have been employed in combination with partial least squares regression (PLSR) to resolve mixtures of glucose and fructose in a complex matrix, as honey. The multivariate model was based on PLSR analysis and showed good predictive capability for the two analytes in sample standard honey with an average error of 8% and relative standard deviations below 9%. PB Elsevier SN 0925-4005 YR 2020 FD 2020-06 LK http://hdl.handle.net/10259/5339 UL http://hdl.handle.net/10259/5339 LA eng NO Ministerio de Ciencia, Innovación y Universidades of Spain (CTQ2017-84309-C2-1-R; RED2018-102412-T), Comunidad Autónoma de Madrid (TRANSNANOAVANSENS Program), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) and Secretaría de Ciencia y Técnica (SECyT) from Universidad Nacional de Río Cuarto. Authors also acknowledge the financial support from the Spanish Ministerio de Economía y Competitividad (Grants CTQ2017-83935-R-AEI/FEDERUE) and Junta de Castilla y León (Grant BU297P18). DS Repositorio Institucional de la Universidad de Burgos RD 29-mar-2024