Back to Search
Start Over
Dispersive liquid-liquid microextraction combined with acetonitrile stacking through capillary electrophoresis for the determination of three selective serotonin reuptake inhibitor drugs in body fluids
- Source :
- Journal of Separation Science. 39:4841-4850
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- Dispersive liquid-liquid microextraction was combined with acetonitrile stacking in capillary electrophoresis for the identification of three selective serotonin reuptake inhibitors (citalopram, fluoxetine, and fluvoxamine) in human fluids such as urine and plasma. Parameters that affect the extraction and stacking efficiency, such as the type and volume of the extraction and disperser solvent, extraction time, salt addition for dispersive liquid-liquid microextraction, and sample matrices, pH, and concentration of the separation buffer for stacking, were investigated and optimized. Under optimum conditions, the enrichment factors were in the range of 1195-1441. Limits of detection ranged from 1.4 to 1.7 nM for the target analytes. Calibration graphs displayed satisfied linearity with R2 greater than or equal to 0.9978, and relative standard deviations of the peak area analysis were in the range of 2.9-5.0% (n = 3). The recoveries of all tricyclic antidepressant drugs from urine and plasma were in the range of 77-117 and 79-106%, respectively. The findings of this study show that dispersive liquid-liquid microextraction acetonitrile-stacking capillary electrophoresis is a rapid and convenient method for identifying tricyclic antidepressant drugs in urine and plasma.
- Subjects :
- Detection limit
Analyte
Chromatography
010401 analytical chemistry
Extraction (chemistry)
Stacking
Filtration and Separation
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
0104 chemical sciences
Analytical Chemistry
Solvent
chemistry.chemical_compound
Electrophoresis
Capillary electrophoresis
chemistry
0210 nano-technology
Acetonitrile
Subjects
Details
- ISSN :
- 16159306
- Volume :
- 39
- Database :
- OpenAIRE
- Journal :
- Journal of Separation Science
- Accession number :
- edsair.doi...........ab0bc08ec43bcb8218f25c3d0cf59fd1
- Full Text :
- https://doi.org/10.1002/jssc.201600952