期刊
ELECTROANALYSIS
卷 27, 期 1, 页码 225-233出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/elan.201400394
关键词
Electronic tongue; Artificial neural network; Voltammetric biosensor; Phenolic compounds; Wastewater
资金
- Spanish Ministry of Science and Innovation, MCINN (Madrid) [CTQ2010-17099]
- Generalitat de Catalunya
- Program ICREA Academia
- Universtitat Autonoma de Barcelona
- Australian Research Council
The application of a voltammetric bioelectronic tongue for the simultaneous monitoring of catechol, m-cresol and guaiacol in wastewater is reported. Voltammetric responses obtained from an array of bulk modified (bio)sensors, containing enzymes such as tyrosinase and laccase, were combined with chemometric tools such as artificial neural networks (ANNs) for building the quantitative prediction model. To this end, the chemometric model was first built employing a factorial design, validated employing an external test set of samples (n=14; total NRMSE of 0.076), and afterwards applied to the monitoring of the mineralization of the three phenol pollutants during a photo-Fenton advanced oxidation process.
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