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Optimization of a methodology for simultaneous determination of twelve chlorophenols in environmental water samples using in situ derivatization and continuous sample drop flow microextraction combined with gas chromatography-electron-capture detection

Abstract

The continuous sample drop flow microextraction (CSDFME) joined with the gas chromatography-electron-capture detection (GC–ECD) has been developed as a high preconcentration technique for the determination of chlorophenols (CPs) in environmental water samples. In this method, a few microliter of organic solvent (11.0 μL chlorobenzene) is transferred to the bottom of a conical test tube. Then the 10.0 mL of aqueous solution transforms in form fine droplets while passing through the organic solvent. At this stage, CPs is extracted into the organic solvent. Under the optimum conditions, enrichment factors and extraction recoveries are in the range of 630–1770 and 31.5–88.5, respectively. The calibration graphs are linear in the range of 0.01–300 µg L−1 and limit of detections (LODs) are in the range of 0.005–0.50 µg L−1. The relative standard deviations (RSDs, for 100 µg L−1 of MCPs, 50 µg L−1 of DCPs, 2.00 µg L−1 of TCPs, 1.00 µg L−1 of TeCPs and PCP in water) with and without using internal standard are in the range of 0.9–5.5% (n = 7) and 1.2–6.4% (n = 7), respectively. The relative recoveries of well, tap and river water samples which have been spiked with different levels of CPs are in the range of 90.6−104.2%.

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Publication details

The article was received on 27 Feb 2017, accepted on 11 Apr 2017 and first published on 12 Apr 2017


Article type: Paper
DOI: 10.1039/C7AY00530J
Citation: Anal. Methods, 2017, Accepted Manuscript
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    Optimization of a methodology for simultaneous determination of twelve chlorophenols in environmental water samples using in situ derivatization and continuous sample drop flow microextraction combined with gas chromatography-electron-capture detection

    M. Karimaei, K. Sharafi, M. Moradi, H. R. Ghaffari, H. Biglari, H. Arfaeinia and N. Fattahi, Anal. Methods, 2017, Accepted Manuscript , DOI: 10.1039/C7AY00530J

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