Determination of pharmaceuticals in drinking water by CD-modified MEKC: separation optimization using experimental
Vincent J Drover1, Christina S Bottaro
1Department of Chemistry, Memorial University of Newfoundland, St. John's, NL, Canada.
This study developed a rapid capillary electrophoresis method to detect 12 common pharmaceuticals in environmental water. The optimized technique achieved baseline separation in under 7 minutes, offering sensitive detection limits for water quality monitoring.
Area of Science:
- Environmental Chemistry
- Analytical Chemistry
- Separation Science
Background:
- Pharmaceuticals are prevalent contaminants in environmental waters.
- Effective analytical methods are needed for their detection and monitoring.
- Capillary electrophoresis offers a sensitive and efficient separation technique.
Purpose of the Study:
- To develop and optimize a capillary electrophoresis method for separating 12 common pharmaceuticals.
- To minimize analysis time while maintaining high resolution.
- To achieve sensitive detection limits for pharmaceutical contaminants.
Main Methods:
- Utilized highly sulphated cyclodextrin-modified micellar electrokinetic chromatography (CD-MEKC).
- Employed a face-centred composite experimental design for optimization.
- Optimized background electrolyte (BGE) composition, voltage, and capillary conditions.
- Coupled with Solid Phase Extraction (SPE) for enhanced sensitivity.
Main Results:
- Achieved baseline separation of 12 pharmaceuticals in 6.7 minutes.
- Optimized BGE: 10 mM ammonium hydrogen phosphate (pH 11.5), 69 mM SDS, 6 mg/mL sulphated beta-CD, 8.5% isopropanol.
- Separation voltage: 30 kV; Capillary: 48.5 cm x 50 µm id; Temperature: 30°C.
- Instrument LODs in the low mg/L range; SPE-enhanced LODs between 4–30 µg/L.
Conclusions:
- The developed CD-MEKC method is rapid and effective for pharmaceutical analysis in environmental water.
- The method provides sensitive detection limits, suitable for environmental monitoring.
- Experimental design efficiently optimized separation parameters for reduced run times.
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