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METHODS AND OBJECTS OF CHEMICAL ANALYSIS
An international journal devoted to all aspects of analytical chemistry ISSN 2413-6166 (Online), ISSN 1991-0290 (Print) |
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Application of Cloud-Point Extraction for the Determination of Arsenic using Inductively Coupled Plasma Atomic Emission Spectrometry in Several Pharmaceutical Preparations |
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State Scientific Institution “Institute for Single Crystals” of National Academy of Sciences of Ukraine, Nauky ave. 60 Kharkiv, 61072, Ukraine * Corresponding authors *e-mail: varchenko@isc.kh.ua |
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Methods Objects Chem. Anal., 2024, 19(2), p. 67-72 |
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Buy Article: 5 EUR plus tax |
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Abstract
Application of cloud-point extraction for arsenic determination in pharmaceuticals of various types: Calcium gluconate, solution for injection 100 mg mL-1, Potassium chloride, solution for injection 4 %, and Magnesium sulfate, solution for injection 25 %, was investigated. It has been demonstrated that direct quantitative extraction of arsenic into the micellar phase of Triton X-100 in the form of molybdoarsenic acid is possible only for potassium chloride. Magnesium sulfate requires at least five times dilution for arsenic to quantitatively enter the micellar phase. In the case of calcium gluconate, the organic anion is likely to have a higher affinity for the Triton X-100 phase than molybdoarsenic acid resulting in very low extraction coefficient values. In this case, decomposition of the drug was suggested. Three decomposition methods were evaluated and compared: acid decomposition in an open system, acid decomposition in a microwave reactor, and ashing with MgO/Mg(NO3)2. The second and third methods provide further quantitative removal of arsenic, the second being more rapid and easier to perform.
Keywords: cloud-point extraction, arsenic, inductively coupled plasma atomic emission spectrometry, acid decomposition, ashing
Article language: Ukr.
Publisher: Taras Shevchenko National University, Kiev Ukraine
(Analytical chemistry department at Taras Shevchenko
National University, 64 Vladimirskaya STR., Kiev, 01601 UKRAINE)
analysis@univ.kiev.ua,
www.univ.kiev.ua,
+380 (44) 2393444
The journal is indexed in SCOPUS and Web of Science
The journal website: www.moca.net.ua
The articles in this journal are licensed under
CC BY 4.0

