Glyphosate detection by voltammetric techniques. A comparison between statistical methods and an artificial neural network-Reference-Cited by-同舟云学术

Glyphosate detection by voltammetric techniques. A comparison between statistical methods and an artificial neural network

Published:2012-08 Issue: Volume:171-172 Page:528-536
ISSN:0925-4005
Container-title:Sensors and Actuators B: Chemical
language:en
Short-container-title:Sensors and Actuators B: Chemical

Author:

Laguarda-Miro Nicolás,Ferreira Francesca Werner,García-Breijo Eduardo,Ibáñez-Civera Javier,Gil-Sánchez Luis,Garrigues-Baixauli José

Publisher

Elsevier BV

Subject

Materials Chemistry,Electrical and Electronic Engineering,Metals and Alloys,Surfaces, Coatings and Films,Condensed Matter Physics,Instrumentation,Electronic, Optical and Magnetic Materials

Reference38 articles.

1. Electrooxidation of glyphosate on nickel and copper electrodes;Sierra;Quimica Nova,2008

2. 2012 Edition of the Drinking Water Standards and Health Advisories;USEPA,2012

3. Glyphosate Guidelines for Canadian Drinking Water Quality – Supporting Documents – Glyphosate,1995

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