Artificial neural network implementation in single low-cost chip for the detection of insecticides by modeling of screen-printed enzymatic sensors response |
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| Authors: | Gustavo A Alonso Georges Istamboulie |
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| Institution: | a Centro de Investigación y de Estudios Avanzados del Intituto Politecnico Nacional, Av. Instituto Politécnico Nacional 2508, San Pedro Zacatenco, C. P. 07360, México, D.F. México
b Université de Perpignan Via Domitia, IMAGES EA4218, Centre de Phytopharmacie, 52 Avenue Paul Alduy, 66860 Perpignan Cedex, France |
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| Abstract: | This work presents a hardware implementation of artificial neural networks (ANNs) using a dsPIC® microcontroller to resolve mixtures of pesticides measured by amperometric acetylcholinesterase (AChE) biosensors. The response of three biosensors with different concentrations of Chlorpyrifos Oxon (CPO) and Chlorfenvinfos (CFV) was modeled by two ANNs, which were implemented on the dsPIC®. The performance of the ANNs was good, the prediction ability was better than 0.986 when the obtained values were compared with those expected for a set of eight external test samples, which were not used for training. This implementation is proposed to develop low-cost analytical chemical specialized tools. |
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| Keywords: | Acetylcholinesterase Artificial neural networks dsPIC® Hardware implementation Pesticides |
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