2012
DOI: 10.1016/j.snb.2012.05.025
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Glyphosate detection by voltammetric techniques. A comparison between statistical methods and an artificial neural network

Abstract: Glyphosate quantification methods are complex and expensive, and its control in natural water bodies is getting more important year after year. In order to find a new system that facilitates the detection of glyphosate, we present a comparison between two models to predict Glyphosate concentration in aqueous dissolutions. One of them is done by an Artificial Neural Network (ANN) embedded in a Microcontroller and the other one is done by statistic methods (Partial Least Squares) in a computer. From an analytica… Show more

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Cited by 21 publications
(14 citation statements)
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“…This electronic device and measurement system has been described in detail in previous papers working with glyphosate [18] [29] and has been successfully used in food [38][39] [40], water analyses [41] and the determination of environmental parameters [42].…”
Section: Electrochemical Measurementmentioning
confidence: 99%
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“…This electronic device and measurement system has been described in detail in previous papers working with glyphosate [18] [29] and has been successfully used in food [38][39] [40], water analyses [41] and the determination of environmental parameters [42].…”
Section: Electrochemical Measurementmentioning
confidence: 99%
“…As in the previous works with glyphosate [18][29], pulsed voltammetry technique was used to apply an electric voltage to the utilized electrodes (working electrodes) when submerged in glyphosate dissolutions. Then the electric current that circulates through each electrode could be measured.…”
Section: Electrochemical Measurementmentioning
confidence: 99%
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