Analytical chemistry council

METHODS AND OBJECTS OF CHEMICAL ANALYSIS

 

An international journal devoted to all aspects of analytical chemistry

ISSN 2413-6166 (Online), ISSN 1991-0290 (Print)

Kiev University
    Ukr | En
Home Current issue Call for papers ReceivedContact us
cover

Green Cloud Point Extraction Coupled for Separation and Determination of Erythrosine in Various Samples Compared to the HPLC Technique

Ruqayah Jasim Mohammed* and Safa Majeed Hameed**

* Corresponding authors

Department of Chemistry, Faculty of Education for Women, University of Kufa, Al-Najaf, 54001, Iraq

*e-mail: ruqayaj.alsunbali@student.uokufa.edu.iq;  **e-mail: Safaa.alhassani@uokufa.edu.iq

Methods Objects Chem. Anal., 2024, 19(3), p. 132-138

https://doi.org/10.17721/moca.2024.132-138

The article is distributed under open access Creative Commons Attribution License CC BY 4.0.

download the article

download the references

Abstract

The cloud point extraction (CPE) method using mixed micelles is employed to extract and separate erythrosine. Various conditions affecting the separation process were studied, including the amount of hydrochloric acid, temperature, heating time, Co(II) ion concentration, surfactant volume, and the impact of organic solvents on the dissolution behavior of the cloud point layer. The calibration curve was linear for concentrations ranging from 5 to 1000 μg/mL. The proposed methodologies were validated for drug and food analysis. Statistical analysis compared data from the CPE techniques with those from the HPLC method. The AGREE assessment approach was used to evaluate the environmental sustainability of the methods. It indicated that the CPE method adhered more to green characteristics than the HPLC method.

Keywords: cloud point extraction, onium system, erythrosine, HPLC

Article language: En


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