Date of Award
Spring 5-15-2019
Document Type
Thesis
Degree Name
Master of Science (MS)
Department/Program
Forensic Science
Language
English
First Advisor or Mentor
Marta Concheiro Guisan
Second Reader
Shu-Yuan Cheng
Third Advisor
Damon Borg
Abstract
Antidepressant drugs are one of the most widely used medicines for treating major depressive disorders for long time periods. Oral fluid (OF) testing offers an easy and noninvasive sample collection. Detection of antidepressants in OF is important in clinical and forensic settings, such as therapeutic drug monitoring and roadside testing for driving under influence. We developed and validated a comprehensive liquid chromatography tandem mass spectrometry method for 18 antidepressants (amitriptyline, bupropion, citalopram, clomipramine, cyclobenzaprine, desipramine, desvenlafaxine, doxepin, duloxetine, fluoxetine, imipramine, mirtazapine, nortriptyline, paroxetine, sertraline, trazodone, trimipramine, venlafaxine) in oral fluid collected by Quantisal® oral collection devices. 0.5 mL of Quantisal® OF (125μL of neat OF) was submitted to solid-phase extraction. The chromatographic separation was performed employing a biphenyl column in gradient mode with a total run time of 5 min. The MS detection was achieved by multiple reaction monitoring with two transitions per compound. The range for linearity of all analytes was from 10-1,000 ng/mL, with a limit of quantitation of 10 ng/mL. Intra and Inter-day’s accuracy and precision (n=15) were all within acceptable limits, ± 20% error and ± 15% relative standard deviation. Analyte recovery at 400 ng/mL concentration (n=15) ranged from 91-129%. Matrix effect ranged from 73.7-157%. The internal proficiency test detected all antidepressants with accuracy ranging from 83.1-112.1%. The authentic patient sample showed percentage difference compare to previously calculated concentration of 86.3-111%. This method provides for the rapid detection of 18 antidepressants in OF, which is readily applicable to a routine laboratory.
Recommended Citation
Shin, Sanghee S., "Developing and Validating a Fast and Accurate Method to Quantify 18 Antidepressants in Oral Fluid Samples Using SPE and LC-MSMS" (2019). CUNY Academic Works.
https://academicworks.cuny.edu/jj_etds/104