期刊论文详细信息
Sensors
Simultaneous Detection of Glucose and Fructose in Synthetic Musts by Multivariate Analysis of Silica-Based Amperometric Sensor Signals
José María Palacios-Santander1  Joaquin Rafael Crespo-Rosa1  Laura Cubillana-Aguilera1  Giorgia Foca2  Alessandro Ulrici2  Barbara Zanfrognini3  Laura Pigani4  Chiara Zanardi4 
[1]Department of Analytical Chemistry, Faculty of Sciences, Campus de Excelencia Internacional del Mar (CEIMAR), Institute of Research on Electron Microscopy and Materials (IMEYMAT), University of Cadiz, Polígono del Río San Pedro S/N, 11510 Puerto Real, Cadiz, Spain
[2]Department of Life Sciences, University of Modena and Reggio Emilia, via Amendola 2, 42122 Reggio Emilia, Italy
[3]Institute for the Organic Synthesis and Photoreactivity (ISOF), National Research Council of Italy (CNR), Via P. Gobetti 101, 40129 Bologna, Italy
[4]Interdepartmental Research Centre, University of Modena and Reggio Emilia, BIOGEST-SITEIA, 42122 Reggio Emilia, Italy
关键词: sonogel-carbon;    Au nanoparticles;    composite;    silica-based electrodes;    amperometric sensors;    glucose;   
DOI  :  10.3390/s21124190
来源: DOAJ
【 摘 要 】
Silica-based electrodes which permanently include a graphite/Au nanoparticles composite were tested for non-enzymatic detection of glucose and fructose. The composite material showed an effective electrocatalytic activity, to achieve the oxidation of the two analytes at quite low potential values and with good linearity. Reduced surface passivation was observed even in presence of organic species normally constituting real samples. Electrochemical responses were systematically recorded in cyclic voltammetry and differential pulse voltammetry by analysing 99 solutions containing glucose and fructose at different concentration values. The analysed samples consisted both in glucose and fructose aqueous solutions at pH 12 and in solutions of synthetic musts of red grapes, to test the feasibility of the approach in a real frame. Multivariate exploratory analyses of the electrochemical signals were performed using the Principal Component Analysis (PCA). This gave evidence of the effectiveness of the chemometric approach to study the electrochemical sensor responses. Thanks to PCA, it was possible to highlight the different contributions of glucose and fructose to the voltammetric signal, allowing their selective determination.
【 授权许可】

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