Optimization of Stripping Voltammetric Sensor by a Back Propagation Artificial Neural Network for the Accurate Determination of Pb(II) in the Presence of Cd(II)

An easy, but effective, method has been proposed to detect and quantify the Pb(II) in the presence of Cd(II) based on a Bi/glassy carbon electrode (Bi/GCE) with the combination of a back propagation artificial neural network (BP-ANN) and square wave anodic stripping voltammetry (SWASV) without furth...

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Detalles Bibliográficos
Autores principales: Zhao, Guo, Wang, Hui, Liu, Gang, Wang, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038813/
https://www.ncbi.nlm.nih.gov/pubmed/27657083
http://dx.doi.org/10.3390/s16091540

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038813/
https://www.ncbi.nlm.nih.gov/pubmed/27657083
http://dx.doi.org/10.3390/s16091540

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