LC-MS Method Development and Optimization for Small Drug Analysis in Urine

Author:

Zubair Akmal,Rao Jawad,Mehboob Shabnam,Haseeb Abdul,Hashim Muhammad,Ayaz Hassan,Haq Inzimam ul,Nisar Maleeha,Khan Waseem Ullah,Khan Obaid Ullah,Khattak Faizan

Abstract

Both amphetamine and methamphetamine are considered to be illegal chemicals, and hence, the purchase, possession, and use of these drugs is forbidden in many nations. Within the fields of forensic and clinical toxicology, there has been a recent uptick in the detection and quantification of illicit substances within urine samples. Objective: To detect and quantify both drugs in urine samples utilizing caffeine as an internal standard with an optimized liquid-liquid extraction procedure. Methods: An alternative rapid and efficient method of liquid chromatography – electron spray ionization – Tandem mass spectrometry (LC – ESI – TMS) was developed and optimized. The chromatographic separation was carried out using an isocratic high-performance liquid chromatography (HPLC) system, and the eluent that was applied was a mixture of 20% acetonitrile and 80% buffer with a pH of 2.6 that included 10mM ammonium acetate and 0.1% trifluoroacetic acid. The run duration was 9 minutes, and the detection was accomplished at 210 nm with a flow rate of 1 mL/min utilizing triple quadruple MSMS to validate ionic transitions following direct infusion and fragmentation of analytes. Results: An excellent linearity was seen in the calibration curves of amphetamine and methamphetamine in urine samples across the concentration range of 0-10 mg/L, with a regression coefficient of 0.91 and 0.97, respectively, for each of these substances. Conclusions: More compounds are able to be identified in urine as chromatographic techniques, such as high-performance liquid chromatography (HPLC) and gas chromatography-mass spectrometry (GC-MS), continue to improve in terms of their sensitivity

Publisher

CrossLinks International Publishers

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3