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Updated: May 9, 2025

A Simple Method for Automated Solid Phase Extraction of Water Samples for Immunological Analysis of Small Pollutants
Published on: January 1, 2016
Ultrasound-assisted dispersive solidified floating organic drop microextraction based on a novel thiazolyl azo deep
Ebaa Adnan Azooz1, Shaimaa Rahim Hussein2, Ibrahim A Naguib3
1The Chemistry Department, The Gifted Students' School in Najaf, Ministry of Education, Najaf, Iraq; Radiological Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq.
Abstract:
A new thiazolyl azo-derivative was prepared to be a hydrogen bonding acceptor (HBA) on the tertiary deep eutectic solvents (TDESs). Seven various TDES were created by combining [Methyl phenyl thiazolyl azo]-3-methyl-4-methoxy-2-naphthol (MPTAMN), menthol, and 1-dodecanol at varying molar ratios. An easy, quick, inexpensive, sensitive, and selective analytical technique was created for the extraction and identification of antimony in food and water samples using hydride generation atomic absorption spectroscopy (HGAAS) and ultrasound-assisted dispersive solidified floating organic drop microextraction (US-SFOD-DLPME-TDES). The utilized chelating reagent, 4,4-dimethyl-2,6-dioxo-N-phenylcyclohexanecarbothioamide (DMTA), was synthesized and characterized. Analytical factors were optimized, including pH, TDES kinds and molar ratios, ligand DMTA quantity, ultrasonic time, solvent volume, and interference impact. This approach recovered antimony from the collected samples at rates ranging from 98.2 to 100.3 %. The validation figures for LOD, LOQ, calibration curve linearity, enhancement, and preconcentration factors were determined to be 0.006 μg L-1, 0.02 μg L-1, 0.02-850 μg L-1, 180, and 150, respectively. A factorial design was used to determine the significance of various variables and their impact on antimony extraction using different statistical tools ANOVA, 3D surface plots, Pareto charts and diagnostic plots. The certified standard material (CSM) was utilized to validate and ensure the accuracy of the methodology. The current US-SFOD-DLPME-TDES technique performed well on actual samples.
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