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
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Optimization of Switchable Hydrophilicity Solvent-Based Liquid-Liquid Microextraction for Tartrazine Dye Separation and Preconcentration using Central Composite Design and Response Surface Methodology

Zianab Tariq*, Nawras A. Alwan

Department of Chemistry, College of Sciences, University of Al-Qadisiyah, Dewanyia-58002, Iraq;

* Corresponding authors

*e-mail: Zainab.tariq@qu.edu.iq

Methods Objects Chem. Anal., 2024, 19(4), p. 200-205

https://doi.org/10.17721/moca.2024.200-205 

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

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Abstract

Switchable hydrophilicity solvent liquid-liquid microextraction (SHS-LLME) was employed as a sample pretreatment method to enrich and pre-concentrate the dye Tartrazine (Tz) before its quantification using UV-visible spectrophotometry. N-methyl dipropyl amine (MDPA) was used as the extraction solvent. The key parameters of the SHS-LLME process were optimized using central composite design (CCD) and response surface methodology (RSM) to evaluate the interactive effects of the three most critical operational variables. The interactions between the MDPA, HCl, and NaOH volume on dye absorption were studied. The LOD and LOQ (n = 7) were calculated as 0.23 μg/mL and 0.692 μg/mL, respectively. The method showed a relative standard deviation (RSD) of 1.71% for 10 replicate measurements. Enrichment and preconcentration factors were determined to be 63 and 33.33, respectively, demonstrating the method’s effectiveness in enhancing Tartrazine detection.

Keywords: tartrazine, central composite design, response surface methodology, switchable hydrophilicity solvent, liquid-liquid microextraction

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