Multidimensional Liquid Chromatography Employing a Graphene Oxide Capillary Column as the First Dimension: Determination of Antidepressant and Antiepileptic Drugs in Urine

• Published in: Molecules (Basel, Switzerland) Switzerland), 2020-02, Vol.25 (5), p.1092
• Main Authors: Maciel, Edvaldo Vasconcelos Soares, Toffoli, Ana Lúcia de, Alves, Jussara da Silva, Lanças, Fernando Mauro
• Format: Article
• Language: English
• Subjects: Analytical methods; Anticonvulsants - urine; Antidepressants; Antidepressive Agents - urine; Antiepileptic agents; Automation; Chromatography, High Pressure Liquid; Citalopram; Citalopram - urine; Drug development; Drugs; extraction column; Graphene; Graphite - chemistry; High performance liquid chromatography; Humans; Ions; Linearity; Liquid chromatography; Mass spectrometry; Mass spectroscopy; Mental depression; Mental disorders; multidimensional; on-line; pharmaceutical drugs; Pharmaceuticals; Psychotherapy; Sample preparation; Social conditions; Spectroscopy; Urine
• ISSN: 1420-3049; 1420-3049
• DOI: 10.3390/molecules25051092

Human mental disorders can be currently classified as one of the most relevant health topics. Including in this are depression and anxiety, which can affect us at any stage of life, causing economic and social problems. The treatments involve cognitive psychotherapy, and mainly the oral intake of pharmaceutical antidepressants. Therefore, the development of analytical methods for monitoring the levels of these drugs in biological fluids is critical. Considering the current demand for sensitive and automated analytical methods, the coupling between liquid chromatography and mass spectrometry, combined with suitable sample preparation, becomes a useful way to improve the analytical results even more. Herein we present an automated multidimensional method based on high-performance liquid chromatography-tandem mass spectrometry using a lab-made, graphene-based capillary extraction column connected to a C8 analytical column to determined five pharmaceutical drugs in urine. A method enhancement was performed by considering the chromatographic separation and the variables of the loading phase, loading time, loading flow, and injection volume. Under optimized conditions, the study reports good linearity with R > 0.98, and limits of detection in the range of 0.5-20 µg L . Afterward, the method was applied to the direct analysis of ten untreated urine samples, reporting traces of citalopram in one of them. The results suggest that the proposed approach could be a promising alternative that provides direct and fully automated analysis of pharmaceutical drugs in complex biological matrices.