期刊
COMPUTERS AND ELECTRONICS IN AGRICULTURE
卷 74, 期 2, 页码 223-229出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2010.08.003
关键词
Acetylcholinesterase; Artificial neural networks; dsPIC (R); Hardware implementation; Pesticides
资金
- PCP Franco-Mexicain [J100.116/2009]
- CONACyT-MAE
- Consejo Nacional de Ciencia y Tecnologia (CONACYT, Mexico)
This work presents a hardware implementation of artificial neural networks (ANNs) using a dsPIC (R) 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 (R). 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. (C) 2010 Elsevier B.V. All rights reserved.
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