Detection of Pesticides in Water through an Electronic Tongue and Data Processing Methods
Jeniffer Katerine Carrillo Gómez,
Yuliana Alexandra Nieto Puentes,
Dayan Diomedes Cárdenas Niño,
Cristhian Manuel Durán Acevedo
Affiliations
Jeniffer Katerine Carrillo Gómez
Multisensor System and Pattern Recognition Research Group (GISM), Engenering and Architecture Faculty, Universidad de Pamplona, Pamplona 543050, Colombia
Yuliana Alexandra Nieto Puentes
Multisensor System and Pattern Recognition Research Group (GISM), Engenering and Architecture Faculty, Universidad de Pamplona, Pamplona 543050, Colombia
Dayan Diomedes Cárdenas Niño
Multisensor System and Pattern Recognition Research Group (GISM), Engenering and Architecture Faculty, Universidad de Pamplona, Pamplona 543050, Colombia
Cristhian Manuel Durán Acevedo
Multisensor System and Pattern Recognition Research Group (GISM), Engenering and Architecture Faculty, Universidad de Pamplona, Pamplona 543050, Colombia
This study highlights the implementation of an electronic tongue composed of carbon screen-printed electrodes, which were used to discriminate and classify pesticides, such as Curathane, Numetrin, and Nativo in water. Therefore, to verify the capacity and performance of the sensory system, solutions of each of the pesticides at a concentration of 10 ppm were prepared in the laboratory and compared with distilled water. Furthermore, to evaluate the minimum detection limit of the electronic tongue, solutions were prepared at different concentrations: 0.02, 0.04, 0.06, 0.08, 0.1, 0.15, 0.2, and 0.25 ppm, respectively. The analysis and classification of the different categories and concentrations were obtained from the use of pattern recognition and automatic learning methods, such as principal component analysis (PCA), linear discriminant analysis (LDA), support vector machine (SVM), k-nearest neighbors (kNN), and naïve Bayes, during this process; the techniques accomplished more than 90% accuracy in pesticide concentrations. Finally, a 100% success rate in classifying the compound types was completely achieved.