Issue 18, 2023

In situ formation of chloroform for dispersive liquid–liquid microextraction of some aromatic amines from aqueous samples optimized by central composite design prior to GC-MS analysis

Abstract

In the current research, an in situ solvent formation-liquid phase microextraction method based on chloroform has been introduced as an efficient sample preparation procedure and applied for the extraction and preconcentration of some aromatic amines from wastewaters. In this method, chloral hydrate (2,2,2-trichloroethane-1,1-diol) was added to an alkaline solution of the samples in order to form chloroform as an extraction solvent in the sample solution. Thus, the selected analytes were transferred from the aqueous solution into the tiny droplets of the produced chloroform. Following this, the extracted and enriched analytes were quantified using a gas chromatograph-mass spectrometer. Experimental conditions of the proposed method including the chloral hydrate amount, salt effect, extraction time, and sodium hydroxide concentration were studied and optimized by a central composite design approach. By the offered method, high enrichment factors (292–324) with satisfactory extraction recoveries (82–91%), low limits of detection (0.26–0.39 ng mL−1), and proper repeatability (relative standard deviations ≤6.3% for intra- and inter-day precisions) were achieved under optimum conditions. Eventually, the suggested method was assessed through the quantification of aromatic amines in aqueous samples.

Graphical abstract: In situ formation of chloroform for dispersive liquid–liquid microextraction of some aromatic amines from aqueous samples optimized by central composite design prior to GC-MS analysis

Supplementary files

Article information

Article type
Paper
Submitted
27 Jan 2023
Accepted
17 Apr 2023
First published
17 Apr 2023

Anal. Methods, 2023,15, 2219-2225

In situ formation of chloroform for dispersive liquid–liquid microextraction of some aromatic amines from aqueous samples optimized by central composite design prior to GC-MS analysis

S. Shagaghipour, S. M. Sorouraddin, M. A. Farajzadeh and M. R. Afshar Mogaddam, Anal. Methods, 2023, 15, 2219 DOI: 10.1039/D3AY00141E

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