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Marzi Khosrowshahi E, Limuie Khosrowshahi B, Farajzadeh MA, Jouyban A, Tuzen M, Afshar Mogaddam MR, Nemati M. Application of microcrystalline cellulose as an efficient and cheap sorbent for the extraction of metoprolol from plasma and wastewater before HPLC-MS/MS determination. Biomed Chromatogr 2022; 36:e5371. [PMID: 35305038 DOI: 10.1002/bmc.5371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 01/31/2022] [Accepted: 03/15/2022] [Indexed: 11/09/2022]
Abstract
A dispersive solid phase extraction method based on a new sorbent has been performed on plasma and wastewater samples to determine metoprolol by high performance liquid chromatography-tandem mass spectrometry. In this study, the analyte was adsorbed from the samples onto microcrystalline cellulose as a green and efficient sorbent and then eluted to use in the determination step. In the mass spectrometer, the analyte was detected in the positive mode and selectivity of the analysis was increased by sequential mass analysis through multiple reaction monitoring. All of the effective parameters in the extraction of metoprolol from plasma and wastewater were optimized. Under optimal conditions the method was linear in the ranges of 1-1000 and 0.1-1000 ng/mL in plasma and wastewater samples, respectively. The detection limit of the method was 0.30 and 0.03 ng/mL in plasma and wastewater samples, respectively. The data showed that the method provides low detection limit, wide linear range, good precision, and high extraction recovery. Finally several plasma and wastewater samples were successfully analyzed using the method. The use of small amount of a green and inexpensive sorbent and low volume of plasma without the need for further pretreatment steps are the main advantages of the method.
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Affiliation(s)
| | | | - Mir Ali Farajzadeh
- Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.,Engineering Faculty, Near East University, Mersin, Turkey
| | - Abolghasem Jouyban
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Science, Tabriz, Iran
| | - Mustafa Tuzen
- Tokat Gaziosmanpasa University, Art and Science Faculty, Chemistry Department, Tokat, Turkey.,King Fahd University of Petroleum and Minerals, Research Institute, Center for Environment and Water, Dhahran, Saudi Arabia
| | - Mohammad Reza Afshar Mogaddam
- Food and Drug Safety Research Center, Tabriz University of Medical Science, Tabriz, Iran.,Pharmaceutical Analysis Research Center, Tabriz University of Medical Science, Tabriz, Iran
| | - Mahboob Nemati
- Food and Drug Safety Research Center, Tabriz University of Medical Science, Tabriz, Iran.,Drug Applied Research Center, Tabriz University of Medical Science, Tabriz, Iran
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Soares S, Rosado T, Barroso M, Gallardo E. New Method for the Monitoring of Antidepressants in Oral Fluid Using Dried Spot Sampling. Pharmaceuticals (Basel) 2021; 14:ph14121284. [PMID: 34959684 PMCID: PMC8709135 DOI: 10.3390/ph14121284] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 12/03/2021] [Accepted: 12/06/2021] [Indexed: 02/02/2023] Open
Abstract
The increase in the consumption of antidepressants is a public health problem worldwide, as these are a class of compounds widely used in the treatment of several illnesses, such as depression and anxiety. This work aimed to develop and optimize a method for the quantification of a number of antidepressants and their metabolites (fluoxetine, venlafaxine, O-desmethylvenlafaxine, citalopram, sertraline, and paroxetine) in 100 µL of oral fluid using the dried saliva spots (DSS) sampling approach and gas chromatography coupled with tandem mass spectrometry (GC-MS/MS). The method was validated, presenting linearity within the studied range, with detection and quantification limits ranging between 10 and 100 ng/mL, and coefficients of determination (R2) of at least 0.99 for all analytes. Recoveries were between approximately 13 and 46%. The analysis of precision and accuracy presented acceptable coefficients of variation and relative errors, considering the criteria usually accepted in the validation of bioanalytical procedures. The method herein described is the first to be reported using DSS for the extraction of antidepressants, proving to be a sensitive, simple, and fast alternative to conventional techniques, and capable of being routinely applied in clinical and forensic toxicology scenarios.
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Affiliation(s)
- Sofia Soares
- Centro de Investigação em Ciências da Saúde, Faculdade de Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (S.S.); (T.R.)
- Laboratório de Fármaco-Toxicologia, Ubimedical, Universidade da Beira Interior, 6200-284 Covilhã, Portugal
| | - Tiago Rosado
- Centro de Investigação em Ciências da Saúde, Faculdade de Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (S.S.); (T.R.)
- Laboratório de Fármaco-Toxicologia, Ubimedical, Universidade da Beira Interior, 6200-284 Covilhã, Portugal
| | - Mário Barroso
- Serviço de Química e Toxicologia Forenses, Instituto de Medicina Legal e Ciências Forenses—Delegação do Sul, 1169-201 Lisboa, Portugal;
| | - Eugenia Gallardo
- Centro de Investigação em Ciências da Saúde, Faculdade de Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (S.S.); (T.R.)
- Laboratório de Fármaco-Toxicologia, Ubimedical, Universidade da Beira Interior, 6200-284 Covilhã, Portugal
- Correspondence: ; Tel.: +35-127-532-9002
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Oliveira MN, Gonçalves OC, Ahmad SM, Schneider JK, Krause LC, Neng NR, Caramão EB, Nogueira JMF. Application of Bar Adsorptive Microextraction for the Determination of Levels of Tricyclic Antidepressants in Urine Samples. Molecules 2021; 26:3101. [PMID: 34067333 PMCID: PMC8196885 DOI: 10.3390/molecules26113101] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/15/2021] [Accepted: 05/18/2021] [Indexed: 11/29/2022] Open
Abstract
This work entailed the development, optimization, validation, and application of a novel analytical approach, using the bar adsorptive microextraction technique (BAμE), for the determination of the six most common tricyclic antidepressants (TCAs; amitriptyline, mianserin, trimipramine, imipramine, mirtazapine and dosulepin) in urine matrices. To achieve this goal, we employed, for the first time, new generation microextraction devices coated with convenient sorbent phases, polymers and novel activated carbons prepared from biomaterial waste, in combination with large-volume-injection gas chromatography-mass spectrometry operating in selected-ion monitoring mode (LVI-GC-MS(SIM)). Preliminary assays on sorbent coatings, showed that the polymeric phases present a much more effective performance, as the tested biosorbents exhibited low efficiency for application in microextraction techniques. By using BAμE coated with C18 polymer, under optimized experimental conditions, the detection limits achieved for the six TCAs ranged from 0.2 to 1.6 μg L-1 and, weighted linear regressions resulted in remarkable linearity (r2 > 0.9960) between 10.0 and 1000.0 μg L-1. The developed analytical methodology (BAμE(C18)/LVI-GC-MS(SIM)) provided suitable matrix effects (90.2-112.9%, RSD ≤ 13.9%), high recovery yields (92.3-111.5%, RSD ≤ 12.3%) and a remarkable overall process efficiency (ranging from 84.9% to 124.3%, RSD ≤ 13.9%). The developed and validated methodology was successfully applied for screening the six TCAs in real urine matrices. The proposed analytical methodology proved to be an eco-user-friendly approach to monitor trace levels of TCAs in complex urine matrices and an outstanding analytical alternative in comparison with other microextraction-based techniques.
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Affiliation(s)
- Mariana N. Oliveira
- Centro de Química Estrutural, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal; (M.N.O.); (O.C.G.); (S.M.A.)
| | - Oriana C. Gonçalves
- Centro de Química Estrutural, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal; (M.N.O.); (O.C.G.); (S.M.A.)
| | - Samir M. Ahmad
- Centro de Química Estrutural, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal; (M.N.O.); (O.C.G.); (S.M.A.)
- Molecular Pathology and Forensic Biochemistry Laboratory, Centro de Investigação Interdisciplinar Egas Moniz (CiiEM), Instituto Universitário Egas Moniz (IUEM), Campus Universitário—Quinta da Granja, Monte da Caparica, 2829-511 Caparica, Portugal
- Forensic and Psychological Sciences Laboratory Egas Moniz, Campus Universitário—Quinta da Granja, Monte da Caparica, 2829-511 Caparica, Portugal
| | - Jaderson K. Schneider
- Instituto de Química, Universidade Federal do Rio Grande do Sul, 91509-900 Porto Alegre, Brazil; (J.K.S.); (L.C.K.); (E.B.C.)
| | - Laiza C. Krause
- Instituto de Química, Universidade Federal do Rio Grande do Sul, 91509-900 Porto Alegre, Brazil; (J.K.S.); (L.C.K.); (E.B.C.)
| | - Nuno R. Neng
- Centro de Química Estrutural, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal; (M.N.O.); (O.C.G.); (S.M.A.)
- Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
| | - Elina B. Caramão
- Instituto de Química, Universidade Federal do Rio Grande do Sul, 91509-900 Porto Alegre, Brazil; (J.K.S.); (L.C.K.); (E.B.C.)
- Programa de Pós-Graduação em Biotecnologia Industrial, Universidade Tiradentes, 49032-490 Aracaju, Brazil
| | - José M. F. Nogueira
- Centro de Química Estrutural, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal; (M.N.O.); (O.C.G.); (S.M.A.)
- Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
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Farajzadeh MA, Mohebbi A, Afshar Mogaddam MR. Development and Validation of a Simple and Rapid HPLC Method for the Evaluation of Pesticide Residues in Plasma Samples of Farmers; Application in Toxicological and Risk Assessment Studies. PHARMACEUTICAL SCIENCES 2020. [DOI: 10.34172/ps.2020.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Mir Ali Farajzadeh
- Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
- Engineering Faculty, Near East University, 99138 Nicosia, North Cyprus, Mersin 10, Turkey
| | - Ali Mohebbi
- Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
| | - Mohammad Reza Afshar Mogaddam
- Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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Maciel EVS, de Toffoli AL, Alves JDS, Lanças FM. Multidimensional Liquid Chromatography Employing a Graphene Oxide Capillary Column as the First Dimension: Determination of Antidepressant and Antiepileptic Drugs in Urine. Molecules 2020; 25:molecules25051092. [PMID: 32121435 PMCID: PMC7179208 DOI: 10.3390/molecules25051092] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/08/2020] [Accepted: 02/13/2020] [Indexed: 01/13/2023] Open
Abstract
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 R2 > 0.98, and limits of detection in the range of 0.5–20 µg L−1. 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.
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Applications of Gas Chromatography for the Analysis of Tricyclic Antidepressants in Biological Matrices. SEPARATIONS 2019. [DOI: 10.3390/separations6020024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Tricyclic antidepressant drugs (TCAs) are a main category of antidepressants, which are until today widely used for the treatment of psychological disorders due to their low cost and their high efficiency. Therefore, there is a great demand for method development for the determination of TCAs in biofluids, especially for therapeutic drug monitoring. Gas chromatography (GC) was the first chromatographic technique implemented for this purpose. With the recent development in the field of sample preparation, many novel GC applications have been developed. Herein, we aim to report the recent application of GC for the determination of tricyclic antidepressants in biofluids. Emphasis is given to novel extraction techniques and novel materials used for sample preparation.
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