2024 : 4 : 27
Mohammad Reza Hadjmohammadi

Mohammad Reza Hadjmohammadi

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId:
Faculty: Faculty of Chemistry
Address: Babolsar
Phone: 01135302350

Research

Title
Optimization of parameters for the alcoholic-assisted dispersive liquid–liquid microextraction of estrogens in water
Type
JournalPaper
Keywords
lcoholic-assisted dispersive liquid–liquid microextraction  Optimization  Estrogens  Experimental design  Plackett–Burman design
Year
2014
Journal Journal of the Iranian Chemical Society
DOI
Researchers Pantea Shakeri ، Zahra Musavi Kiasary ، Mohammad Reza Hadjmohammadi ، Mohammad Hossein Fatemi

Abstract

Extraction and determination of estrogens in water samples were performed using alcoholic-assisted dispersive liquid–liquid microextraction (AA-DLLME) and high-performance liquid chromatography (UV/Vis detection). A Plackett–Burman design and a central composite design were applied to evaluate the AA-DLLME procedure. The effect of six parameters on extraction efficiency was investigated. The factors studied were volume of extraction and dispersive solvents, extraction time, pH, amount of salt and agitation rate. According to Plackett–Burman design results, the effective parameters were volume of extraction solvent and pH. Next, a central composite design was applied to obtain optimal condition. The optimized conditions were obtained at 220 lL 1-octanol as extraction solvent, 700 lL ethanol as dispersive solvent, pH 6 and 200 lL sample volume. Linearity was observed in the range of 1–500 lg L-1 for E2 and 0.1–100 lg L-1 for E1. Limits of detection were 0.1 lg L-1 for E2 and 0.01 lg L-1 for E1. The enrichment factors and extraction recoveries were 42.2, 46.4 and 80.4, 86.7, respectively. The relative standard deviations for determination of estrogens in water were in the range of 3.9–7.2 % (n = 3). The developed method was successfully applied for the determination of estrogens in environmental water samples