An electrochemical impedance spectroscopy system has been developed for on-line monitoring pineapple waste saccharification

Electrochemical impedance spectroscopy (EIS) has been used for monitoring the enzymatic pineapple waste hydrolysis process. The system employed consists of a device called Advanced Voltammetry, Impedance Spectroscopy & Potentiometry Analyzer (AVISPA) equipped with a specific software application and a stainless steel double needle electrode. EIS measurements were conducted at different saccharification time intervals: 0, 0.75, 1.5, 6, 12 and 24 h. Partial least squares (PLS) were used to model the relationship between the EIS measurements and the sugar determination by HPAEC-PAD. On the other hand, artificial neural networks: (multilayer feed forward architecture with quick propagation training algorithm and logistic-type transfer functions) gave the best results as predictive models for glucose, fructose, sucrose and total sugars. Coefficients of determination (R2) and root mean square errors of prediction (RMSEP) were determined as R2 > 0.944 and RMSEP < 1.782 for PLS and R2 > 0.973 and RMSEP < 0.486 for artificial neural networks (ANNs), respectively. Therefore, a combination of both an EIS-based technique and ANN models is suggested as a promising alternative to the traditional laboratory techniques for monitoring the pineapple waste saccharification step. ? More information ? SourcesAn Electrochemical Impedance Spectroscopy System for Monitoring Pineapple Waste SaccharificationClaudia Conesa 1, Javier Ib??ez Civera 2, Luc?a Segu? 1, Pedro Fito 1 and Nicol?s Laguarda-Mir? 2,*1 Instituto de Ingenier?a de Alimentos para el Desarrollo (IIAD), Universitat Polit?cnica de Val?ncia, Cam? de Vera s/n, 46022 Valencia, Spain.2 Centro de Reconocimiento Molecular y Desarrollo Tecnol?gico (IDM), Unidad Mixta Universitat Polit?cnica de Val?ncia, Universitat de Val?ncia, Cam? de Vera s/n, 46022 Valencia, Spain.* Author to whom correspondence should be addressed: E-Mail: nilami@iqn.upv.es; Tel.: +34-963877007 (ext. 71848); Fax: +34-963877189 (N.L.-M.).Academic Editor: Alexander StarSensors 2016, 16(2), 188; doi:10.3390/s16020188Picture by ged+ps - IDM