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Sun Z, Wang F, Li W, Ren R, Zhou P, Jia Q, Zhao L, Chen D, Zuo L. Pipette-tip solid-phase extraction coupled with matrix-assisted laser desorption/ionization mass spectrometry enables rapid and high-throughput analysis of antidepressants in rat serum. Anal Bioanal Chem 2024; 416:5013-5023. [PMID: 38997460 DOI: 10.1007/s00216-024-05439-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 06/21/2024] [Accepted: 07/08/2024] [Indexed: 07/14/2024]
Abstract
Therapeutic drug monitoring is essential for ensuring the efficacy and safety of medications. This study introduces a streamlined approach that combines pipette-tip solid-phase extraction (PT-SPE) with matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS), facilitating rapid and high-throughput monitoring of drug concentrations. As a demonstration, this method was applied to the extraction and quantification of antidepressants in serum. Utilizing Zip-Tip C18, the method enabled the extraction of antidepressants from complex biological matrices in less than 2 min, with the subsequent MALDI-MS analysis yielding results in just 1 min. Optimal extraction recoveries were achieved using a sampling solution at pH 9.0 and a 10 μL ethanol desorption solution containing 0.1% phosphoric acid. For MALDI analysis, 2,5-dihydroxybenzoic acid was identified as the most effective matrix for producing the highest signal intensity. The quantification strategy exhibited robust linearities (R2 ≥ 0.997) and satisfactory limits of quantification, ranging from 0.05 to 0.5 μg/mL for a suite of antidepressants. The application for monitoring dynamic concentration changes of antidepressants in rat serum emphasized the method's efficacy. This strategy offers the advantages of high throughput, minimal sample usage, environmental sustainability, and simplicity, providing ideas and a reference basis for the subsequent development of methods for therapeutic drug monitoring.
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Affiliation(s)
- Zhi Sun
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Fangfang Wang
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Wenxuan Li
- Henan Key Laboratory of Nanomedicine for Targeting Diagnosis and Treatment, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Ruobing Ren
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Peipei Zhou
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Qingquan Jia
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Lingguo Zhao
- Shenzhen Bao'an District Center for Disease Control and Prevention, Shenzhen, 518101, China
| | - Di Chen
- Henan Key Laboratory of Nanomedicine for Targeting Diagnosis and Treatment, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
| | - Lihua Zuo
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
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Zhang YX, Zhang Y, Bian Y, Liu YJ, Ren A, Zhou Y, Shi D, Feng XS. Benzodiazepines in complex biological matrices: Recent updates on pretreatment and detection methods. J Pharm Anal 2023. [DOI: 10.1016/j.jpha.2023.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023] Open
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3
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Kumar S, Darshan S, Baggi TR. Recent Advances in Analytical Techniques for Antidepressants Determination in Complex Biological Matrices: A Review. Int J Toxicol 2023:10915818221150779. [PMID: 36630687 DOI: 10.1177/10915818221150779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Depression is one of the most prevalent but severe of mental disorders, affecting thousands of individuals across the globe. Depression, in its most extreme form, may result in self-harm and an increased likelihood of suicide. Antidepressant drugs are first-line medications to treat mental disorders. Unfortunately, these medications are also prescribed for other in- and off-label conditions, such as deficit/hyperactivity disorders, attention disorders, migraine, smoking cessation, eating disorders, fibromyalgia, pain, and insomnia. This results in an increase in the use of antidepressant medications, leading to clinical and forensic overdose cases that could be either accidental or deliberate. The findings revealed that people who used antidepressants had a 33% greater chance of dying sooner than expected, compared to those who did not take the medications. Analytical techniques for precisely identifying and detecting antidepressants and their metabolic products in a variety of biological matrices are greatly needed to be developed and made available. Hence, this study attempts to discuss various analytical techniques used to identify and determine antidepressants in various biological matrices, which include urine, blood, oral fluid (saliva), and tissues, which are commonly encountered in clinical and forensic science laboratories.
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Affiliation(s)
- Sachil Kumar
- Department of Life Sciences, 119667CHRIST (Deemed to be University), Bengaluru, India
| | - Siddaraj Darshan
- Department of Life Sciences, 119667CHRIST (Deemed to be University), Bengaluru, India
| | - Tulsidas R Baggi
- Director (Retd.), Central Forensic Science Laboratory, Ministry of Home Affairs, Govt. of India, Ramanthapur, Hyderabad, India.,Formerly Academic Coordinator (Forensic Science), University College of Science, 28552Osmania University, Hyderabad, India
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Cheng JYK, Hui JWS, Chan WS, So MH, Hong YH, Leung WT, Ku KW, Yeung HS, Lo KM, Fung KM, Ip CY, Dao KL, Cheung BKK. Interpol review of toxicology 2019-2022. Forensic Sci Int Synerg 2022; 6:100303. [PMID: 36597440 PMCID: PMC9799715 DOI: 10.1016/j.fsisyn.2022.100303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Bobbie Kwok-keung Cheung
- Corresponding author. Government Laboratory, 7/F, Homantin Government Offices, 88 Chung Hau Street, Ho Man Tin, Kowloon, SAR, Hong Kong, China. http://www.govtlab.gov.hk/
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Hybrid silica material as a mixed-mode sorbent for solid-phase extraction of hydrophobic and hydrophilic illegal additives from food samples. J Chromatogr A 2022; 1672:463049. [DOI: 10.1016/j.chroma.2022.463049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 04/08/2022] [Accepted: 04/08/2022] [Indexed: 11/17/2022]
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Determination of Prenatal Substance Exposure Using Meconium and Orbitrap Mass Spectrometry. TOXICS 2022; 10:toxics10020055. [PMID: 35202242 PMCID: PMC8875502 DOI: 10.3390/toxics10020055] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 01/27/2023]
Abstract
The aim of this study was to develop and to validate a toxicological untargeted screening relying on LC-HRMS in meconium including the detection of the four main classes of drugs of abuse (DoA; amphetamines, cannabinoids, opioids and cocaine). The method was then applied to 29 real samples. Analyses were performed with a liquid chromatography system coupled to a benchtop Orbitrap operating in a data-dependent analysis. The sample amount was 300 mg of meconium extracted twice by solid phase extraction following two distinct procedures. Raw data were processed using the Compound Discoverer 3.2 software (Thermo). The method was evaluated and validated on 15 compounds (6-MAM, morphine, buprenorphine, norbuprenorphine, methadone, EDDP, amphetamine, MDA, MDMA, methamphetamine, cocaine, benzoylecgonine, THC, 11-OH-THC, THC-COOH). Limits of detection were between 0.5 and 5 pg/mg and limits of identification between 5 and 50 pg/mg. Mean matrix effect was between −79 and −19% (n = 6) and mean overall recovery between 18 and 73% (n = 6) at 100 pg/mg. The application allows the detection of 88 substances, including 47 pharmaceuticals and 15 pharmaceutical metabolites, cocaine and its metabolites, THC and its metabolites, and natural (morphine, codeine) and synthetic (methadone, buprenorphine, tramadol, norfentanyl) opioids. This method is now used routinely for toxicological screening in high-risk pregnancies
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Elashery SEA, Attia NF, Mohamed GG, Omar MM, Tayea HMI. Hybrid Nanocomposite Based Graphene Sensor for Ultrasensitive Clomipramine HCl Detection. ELECTROANAL 2021. [DOI: 10.1002/elan.202100165] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Sally E. A. Elashery
- Chemistry Department Faculty of Science Cairo University Gamaa Str. 12613 Giza Egypt
| | - Nour F. Attia
- Fire Protection Laboratory Chemistry Division National Institute for Standards 136 12211 Giza Egypt
| | - Gehad G. Mohamed
- Chemistry Department Faculty of Science Cairo University Gamaa Str. 12613 Giza Egypt
| | - M. M. Omar
- Chemistry Department Faculty of Science Cairo University Gamaa Str. 12613 Giza Egypt
| | - Hager M. I. Tayea
- Chemistry Department Faculty of Science Cairo University Gamaa Str. 12613 Giza Egypt
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Oraby M, Ahmed AS, Abdel-Lateef MA, Mostafa MA, Hassan AI. Employ FTIR spectroscopic method for determination of certain multiple sclerosis medications in plasma and pharmaceutical formulations. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106329] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Sarıkaya M, Ulusoy HI, Morgul U, Ulusoy S, Tartaglia A, Yılmaz E, Soylak M, Locatelli M, Kabir A. Sensitive determination of Fluoxetine and Citalopram antidepressants in urine and wastewater samples by liquid chromatography coupled with photodiode array detector. J Chromatogr A 2021; 1648:462215. [PMID: 34000593 DOI: 10.1016/j.chroma.2021.462215] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/18/2021] [Accepted: 04/26/2021] [Indexed: 01/21/2023]
Abstract
A new analyte separation and preconcentration method for the trace determination of antidepressant drugs, Fluoxetine (FLU) and Citalopram (CIT) in urine and wastewaters, was developed based on HPLC-DAD analysis after magnetic solid phase extraction (MSPE). In the proposed method, FLU and CIT were retained on the newly synthetized magnetic sorbent (Fe3O4@PPy-GO) in the presence of buffer (pH 10.0) and then were desorbed into a lower volume of acetonitrile prior to the chromatographic determinations. Before HPLC analysis, all samples were filtered through a 0.45 µm PTFE filter. Experimental parameters such as interaction time, desorption solvent and volume, and pH were studied and optimized in order to establish the detection limit, linearity, enrichment factor and other analytical figures of merit under optimum operation conditions. In the developed method, FLU and CIT were analyzed by diode array detector at the corresponding maximum wavelengths of 227 and 238 nm, respectively, by using an isocratic elution of 60% pH 3.0 buffer, 30% acetonitrile, and 10% methanol. By using the optimum conditions, limit of detections for FLU and CIT were 1.58 and 1.43 ng mL-1, respectively, while the limit of quantifications was 4.82 and 4.71 ng mL-1, respectively. Relative standard deviations (RSD%) for triplicate analyses of model solutions containing 100 ng mL-1 target molecules were found to be less than 5.0 %. Finally, the method was successfully applied to urine (both simulated and real healthy human) and wastewater samples, and quantitative results were obtained in recovery experiments.
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Affiliation(s)
- Merve Sarıkaya
- Department of Analytical Chemistry, Faculty of Pharmacy, Sivas Cumhuriyet University, 58140, Sivas, Turkey
| | - Halil Ibrahim Ulusoy
- Department of Analytical Chemistry, Faculty of Pharmacy, Sivas Cumhuriyet University, 58140, Sivas, Turkey.
| | - Ummugulsum Morgul
- Department of Analytical Chemistry, Faculty of Pharmacy, Sivas Cumhuriyet University, 58140, Sivas, Turkey
| | - Songül Ulusoy
- Department of Pharmacy, Vocational School of Health Service, Sivas Cumhuriyet University, 58140, Sivas , Turkey
| | - Angela Tartaglia
- Department of Pharmacy, University of Chieti-Pescara "G. d'Annunzio", Via dei Vestini 31, 66100, Chieti, Italy
| | - Erkan Yılmaz
- Department of Analytical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri, 38039, Turkey; ERNAM Erciyes University, Nanotechnology Application and Research Center, 38039, Kayseri, Turkey; Technology Research and Application Center (TAUM), Erciyes University, 38039, Kayseri, Turkey
| | - Mustafa Soylak
- Department of Chemistry, Faculty of Sciences, Erciyes University, Kayseri, 38039, Turkey; Turkish Academy of Sciences (TUBA), Cankaya, Ankara, Turkey
| | - Marcello Locatelli
- Department of Pharmacy, University of Chieti-Pescara "G. d'Annunzio", Via dei Vestini 31, 66100, Chieti, Italy
| | - Abuzar Kabir
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA
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López-Rabuñal Á, Lendoiro E, Concheiro-Guisán M, González-Colmenero E, Peñas-Silva P, Concheiro-Guisán A, Macía-Cortiñas M, López-Rivadulla M, de-Castro-Ríos A, Cruz A. Meconium and maternal hair analysis vs. medical records to monitor antidepressants and benzodiazepines exposure during pregnancy. Forensic Toxicol 2021. [DOI: 10.1007/s11419-021-00576-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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