Automatic Electronic Tongue for On-Line Detection and Quantification of Organophosphorus and Carbamate Pesticides Using Enzymatic Screen Printed Biosensors

• Published in: Analytical letters 2013-07, Vol.46 (11), p.1743-1757
• Main Authors: Alonso, Gustavo A., Muñoz, Roberto, Marty, Jean-Louis
• Format: Article
• Language: English
• Subjects: Acetylcholinesterase; Artificial neural network; Automatic electronic tongue; Carbamates; On-line; Organophosphorus
• ISSN: 0003-2719; 1532-236X
• DOI: 10.1080/00032719.2012.745087

This work presents an automatic system, based on an electronic tongue, for resolution of mixtures of three pesticides. Inhibition detections were performed during the steady state of biosensors response. Three biosensors were built using two enzymes, electric eel (EE), genetically-modified Drosophila melanogaster (B131), and electric eel co-immobilized with drosophila melanogaster (BH). Calibrations curves for paraoxon, dichorlvos, and carbofuran were performed in the ranges 0.4-50.4 µM, 0.01-1.01 µM, 0.01-0.41 µM with LOD of 3.91 × 10 −8 , 6.30 × 10 −11 , and 5.84 × 10 −10 , respectively. An artificial neural network (ANN) was used to model the combined response of three pesticides. A set of 19 mixtures were prepared in order to train the artificial neural network, the modeling was validated with a set of 6 spiked samples of river water. The error and recovery yields were found in consistent with expected values.