Resolution of galactose, glucose, xylose and mannose in sugarcane bagasse employing a voltammetric electronic tongue formed by metals oxy-hydroxide/MWCNT modified electrodes

SENSORS AND ACTUATORS B-CHEMICAL

卷:222

Article

de Sa, Acelino Cardoso^1,2  Cipri, Andrea²  Gonzalez-Calabuig, Andreu²  Stradiotto, Nelson Ramos¹  del Valle, Manel² 

[1] Univ Estadual Paulista UNESP, Inst Chem, Dept Analyt Chem, BR-14800060 Araraquara, SP, Brazil

[2] Univ Autonoma Barcelona, Dept Chem, Sensors & Biosensors Grp, E-08193 Barcelona, Spain

关键词: Electronic tongue;    Carbohydrates;    Artificial neural network;    Multi-walled carbon nanotubes;    Metal nanoparticles;    Second generation ethanol;   

DOI  :  10.1016/j.snb.2015.08.088

来源: Elsevier

【 摘 要 】

Second generation ethanol is produced from the carbohydrates released from the cell wall of bagasse and straw of sugarcane. The objective of this work is the characterization and application of a voltammetric electronic tongue using an array of glassy carbon electrodes modified with multi-walled carbon nanotubes containing metal (Paladium, Gold, Copper, Nickel and Cobalt) oxy-hydroxide nanoparticles (GCE/MWCNT/MetalsOOH) towards a simpler analysis of carbohydrates (glucose, xylose, galactose and mannose). The final architecture of the back-propagation Artificial Neural Network (ANN) model had 36 input neurons and a hidden layer with 5 neurons. The ANN based prediction model has provided satisfactory concentrations for all carbohydrates; the obtained response had a maximum NRMSE of 12.4% with a maximum deviation of slopes in the obtained vs. expected comparison graph of 15%. For all species, the comparison correlation coefficient was of r > 0.99 for the training subset and of r > 0.96 for the test subset. (C) 2015 Elsevier B.V. All rights reserved.

【 授权许可】

Free