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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Bibliografiset tiedot

Päätekijät:	Guo Zhao, Hui Wang, Gang Liu, Zhiqiang Wang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2016-09-01
Sarja:	Sensors
Aiheet:	square wave anodic stripping voltammetry artificial neural network bismuth film electrode Pb(II) Cd(II)
Linkit:	http://www.mdpi.com/1424-8220/16/9/1540
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