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Performance of four mixed-mode solid-phase extraction columns applied to basic drugs in urine
1Section of Forensic Chemistry, Department of Forensic Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark. helene.klinke@forensic.ku.dk
This study compared four mixed-mode cation exchange solid-phase extraction columns for extracting basic drugs from urine. All columns demonstrated good recovery rates, suggesting factors like cost and availability may guide selection for drug analysis.
Area of Science:
- Analytical Chemistry
- Forensic Toxicology
- Pharmacology
Background:
- Accurate extraction of basic drugs from biological matrices is crucial for toxicological and clinical analysis.
- Solid-phase extraction (SPE) is a common technique for sample preparation in drug analysis.
- Evaluating different SPE column chemistries is essential for optimizing method performance.
Purpose of the Study:
- To compare the performance of four different mixed-mode cation exchange solid-phase extraction (SPE) columns.
- To assess the efficiency of these columns in extracting a panel of basic drugs from urine samples.
- To provide insights for selecting the most suitable SPE column for basic drug analysis.
Main Methods:
- Four mixed-mode cation exchange SPE columns (Isolute HCX-3, ABN, Bond Elut Certify, Oasis MCX) were evaluated.
- Urine samples spiked with a range of basic drugs were processed using each SPE column.
- Extracted analytes were analyzed using High-Performance Liquid Chromatography with Diode Array Detection (HPLC-DAD).
Main Results:
- All four tested SPE columns achieved average drug recoveries ranging from 68.5% to 92.1%.
- With a single exception, all studied basic drugs exhibited recovery rates exceeding 50% across all column types.
- The studied drugs included amphetamine, fentanyl, methadone, olanzapine, sertraline, and zopiclone, among others.
Conclusions:
- Mixed-mode cation exchange SPE columns generally perform well for the extraction of basic drugs from urine.
- The choice of SPE column may be influenced by practical considerations such as cost and availability, in addition to recovery rates.
- Further optimization may be needed depending on specific drug targets and matrix complexities.
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