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)

التفاصيل البيبلوغرافية
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 597 : Prospects of Fundamental Sciences Development (PFSD-2019).— 2019.— [012023, 6 p.]
المؤلف الرئيسي: Poluboyarinova J. A.
مؤلف مشترك: National Research Tomsk Polytechnic University
مؤلفون آخرون: Shumar S. V.
الملخص: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.
اللغة:الإنجليزية
منشور في: 2019
الموضوعات:
الوصول للمادة أونلاين:http://dx.doi.org/10.1088/1757-899X/597/1/012023
http://earchive.tpu.ru/handle/11683/56961
التنسيق: الكتروني فصل الكتاب
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661005

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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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