Differential potentiometric precipitation titration of zinc(II) and copper(II) using carbon composite electrode; IOP Conference Series: Materials Science and Engineering; Vol. 597 : Prospects of Fundamental Sciences Development (PFSD-2019)

Bibliographic Details
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 597 : Prospects of Fundamental Sciences Development (PFSD-2019).— 2019.— [012023, 6 p.]
Main Author: Poluboyarinova J. A.
Corporate Author: Томский политехнический университет
Other Authors: Shumar S. V.
Summary:Title screen
The article presents the results of investigation of potentiometric titration of the working solution containing Zn(II) and Cu(II) by sodium diethyldithiocarbamate (NaDEDC) using carbon composite electrode as the indicator electrode. The proposed method for the separate determination of copper ions (II) and zinc (II) under the joint presence was tested on data from titration model of binary mixtures and the real object. The titration curves were processed by the linearization method based on the transformation of a titration curve into the multiphase linear regression, whose parameters determine the equivalence point with high accuracy.
Language:English
Published: 2019
Subjects:
Online Access:http://dx.doi.org/10.1088/1757-899X/597/1/012023
http://earchive.tpu.ru/handle/11683/56961
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661005

MARC

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330 |a The article presents the results of investigation of potentiometric titration of the working solution containing Zn(II) and Cu(II) by sodium diethyldithiocarbamate (NaDEDC) using carbon composite electrode as the indicator electrode. The proposed method for the separate determination of copper ions (II) and zinc (II) under the joint presence was tested on data from titration model of binary mixtures and the real object. The titration curves were processed by the linearization method based on the transformation of a titration curve into the multiphase linear regression, whose parameters determine the equivalence point with high accuracy. 
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