Sensitive determination of amide herbicides in environmental water samples by a combination of solid-phase extraction and dispersive liquid-liquid microextraction prior to GC-MS
In this paper, solid-phase extraction (SPE) in combination with dispersive liquid-liquid microextraction (DLLME) has been developed as a sample pretreatment method with high enrichment factors for the sensitive determination of amide herbicides in water samples. In SPE-DLLME, amide herbicides were a...
Saved in:
Published in | Journal of separation science Vol. 32; no. 7; pp. 1069 - 1074 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Weinheim
Wiley-VCH Verlag
01.04.2009
WILEY-VCH Verlag WILEY‐VCH Verlag Wiley |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | In this paper, solid-phase extraction (SPE) in combination with dispersive liquid-liquid microextraction (DLLME) has been developed as a sample pretreatment method with high enrichment factors for the sensitive determination of amide herbicides in water samples. In SPE-DLLME, amide herbicides were adsorbed quantitatively from a large volume of aqueous samples (100 mL) onto a multiwalled carbon nanotube adsorbent (100 mg). After elution of the target compounds from the adsorbent with acetone, the DLLME technique was performed on the resulting solution. Finally, the analytes in the extraction solvent were determined by gas chromatography-mass spectrometry. Some important extraction parameters, such as flow rate of sample, breakthrough volume, sample pH, type and volume of the elution solvent, as well as salt addition, were studied and optimized in detail. Under optimum conditions, high enrichment factors ranging from 6593 to 7873 were achieved in less than 10 min. There was linearity over the range of 0.01-10 μg/L with relative standard deviations of 2.6-8.7%. The limits of detection ranged from 0.002 to 0.006 μg/L. The proposed method was used for the analysis of water samples, and satisfactory results were achieved. |
---|---|
Bibliography: | http://dx.doi.org/10.1002/jssc.200800677 Shandong Academy of Sciences - No. 200712 The Natural Science Foundation of Shandong Province - No. 2008B66 istex:BE347B4DE633E2843294BF4B325EB1FEE4C2CB40 The Open Research Fund Program of Key Lab of Eco-Environmental Science for Yellow River Delta in the Universities of Shandong (Binzhou University) - No. 2008KFJJ07 ArticleID:JSSC200800677 ark:/67375/WNG-S23QPNR6-F ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1615-9306 1615-9314 |
DOI: | 10.1002/jssc.200800677 |