Determination of Herbicides in Milk Using Vortex-Assisted Surfactant-Enhanced Emulsification Microextraction Based on the Solidification of a Floating Organic Droplet
A vortex-assisted surfactant-enhanced emulsification–solidification liquid microextraction (VASEME-SFO) has been proposed for the determination of triazine and phenylurea herbicides in milk. 1-Dodecanol was used as the extraction solvent and dispersed into the aqueous samples by the assistance of a...
Gespeichert in:
Veröffentlicht in: | Food analytical methods 2016-02, Vol.9 (2), p.427-436 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | A vortex-assisted surfactant-enhanced emulsification–solidification liquid microextraction (VASEME-SFO) has been proposed for the determination of triazine and phenylurea herbicides in milk. 1-Dodecanol was used as the extraction solvent and dispersed into the aqueous samples by the assistance of a vortex mixer. Meanwhile, the addition of a surfactant, which was used as an emulsifier, could enhance the speed of the mass transfer from aqueous samples to the extract solvent. Acetic acid and Na₂SO₄ were applied and used to eliminate interference by proteins and fats. The influence of various parameters in the VASEME-SFO such as the type and volume of the extraction solvent, the type and concentration of the surfactant, and the vortex time, salt addition, and sample solution pH were investigated and optimized. Under optimal conditions, the limits of detection (LODs) and quantification (LOQs) reached ranges of 0.005–0.09 and 0.015–0.30 μg L⁻¹, respectively. Dynamic linear ranges (DLRs) of 0.2–200 and 2–400 μg L⁻¹ were obtained for triazine and phenylurea herbicides, respectively. The performance of the method was evaluated for extraction and determination of these herbicides in milk in micrograms per liter, and satisfactory results were obtained (RSD |
---|---|
ISSN: | 1936-9751 1936-976X |
DOI: | 10.1007/s12161-015-0180-0 |