Optimization of a solid-phase microextraction procedure for the determination of herbicides by micellar electrokinetic chromatography

被引:19
作者
Frías-García, S [1 ]
Sánchez, MJ [1 ]
Rodríguez-Delgado, MA [1 ]
机构
[1] Univ La Laguna, Fac Chem, Dept Analyt Chem Nutr & Food Sci, E-38206 Tenerife, Spain
关键词
solid-phase microextraction; experimental design; artificial neural networks; triazines; micellar electrokinetic chromatography;
D O I
10.1002/jssc.200401768
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The use of a different optimization procedure that involves Experimental Design (ED) and Artificial Neural Networks (ANN) for the off-line coupling solid-phase microextraction-micellar electokinetic chomatography (SPME-MEKC) is presented. This combination of ED and ANN, mathematical tools not previously used in SPME-MEKC optimization, allowed us to obtain good extraction efficiencies in the SPME procedure for the determination of a group of eleven triazine herbicides in groundwater samples. Both extraction and desorption steps were carried out by solution stirring at 900 rpm. Optimal conditions for the off-line SPME procedure were: extraction with a poly(dimethylsiloxane)/divinylbenzene SPME fiber for 120 min, 10% (w/v) NaCl, desorption time 40 min, and 70% (v/v) of methanol/buffer as desorption mixture. Detection limits lay between 0.80 mug L-1 and 4.89 mug L-1. Finally, the optimized method was applied to the determination of these compounds in spiked and non-spiked groundwater samples using a previously optimized MEKC separation.
引用
收藏
页码:660 / 666
页数:7
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