A Voltammetric Electronic Tongue for the Quantitative Analysis of Quality Parameters in Wastewater

The use of a voltammetric electronic tongue for the quantitative analysis of quality parameters in influent wastewater from a wastewater treatment plant (WWTP) that treats domestic and industrial wastewater is proposed. The electronic voltammetric tongue consists of a set of four noble electrodes (i...

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Bibliographic Details
Published in:Electroanalysis (New York, N.Y.) N.Y.), 2017-04, Vol.29 (4), p.1147-1153
Main Authors: Martínez‐Bisbal, M. Carmen, Loeff, Edwin, Olivas, Estela, Carbó, Noèlia, García‐Castillo, F. Javier, López‐Carrero, Javier, Tormos, Isabel, Tejadillos, Francisco José, Berlanga, José Guillermo, Martínez‐Máñez, Ramón, Alcañiz, Miguel, Soto, Juan
Format: Article
Language:English
Subjects:
Calibration
Chemical oxygen demand
Cylinders
Electronic tongues
Genetic algorithms
Mathematical models
Parameters
Quantitative analysis
Variable selection
Voltammetric electronic tongue
Wastewater
Wastewater treatment
Water quality control
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Summary:The use of a voltammetric electronic tongue for the quantitative analysis of quality parameters in influent wastewater from a wastewater treatment plant (WWTP) that treats domestic and industrial wastewater is proposed. The electronic voltammetric tongue consists of a set of four noble electrodes (iridium, rhodium, platinum and gold) housed inside a stainless steel cylinder. These noble metals have high durability and are low maintenance‐demanding, as required for developing future automated equipment. A pulse voltammetry study was conducted in 35 wastewater samples to determine ammonia (NH4+‐N), nitrates (NO3−‐N), total phosphate (tot‐P), soluble chemical oxygen demand (CODs) and conductivity. These parameters were also determined in these samples by routine analytical methods in the WWTP laboratory. A partial least squares (PLS) analysis was run to obtain a model to predict each parameter. Twenty‐five samples were included in the calibration set and 10 in the validation set. Calibration and validation sets were selected randomly, except for the extreme values of each parameter, which were included in the calibration set. Variable selection was performed on the voltammetric data using Genetic Algorithms in the calibration data set for each parameter. The electronic tongue showed good predictive power to determine the concentrations of NH4+‐N, NO3−‐N and tot‐P and CODs.
ISSN:1040-0397
1521-4109
DOI:10.1002/elan.201600717