Simple and Rapid: An Optimized GC–MS Workflow for Screening Amphetamine in Urine

dc.contributor.authorEusha Azmain
dc.date.accessioned2026-11-04T21:57:37Z
dc.date.issued2026-04-30
dc.descriptionMASTER'S THESIS OF EUSHA AZMAIN MASTER OF SCIENCE IN FORENSIC SCIENCE
dc.description.abstractGas chromatography mass spectrometry is commonly used to analyze biological samples suspected to contain amphetamine. However, samples must often be derivatized, and a balance struck between low-cost (liquid-liquid extraction (LLE)) methods that minimize solvent and sample use (solid-phase microextraction). This study developed and validated a method that does not require sample derivatization and utilizes low-cost LLE while minimizing sample and solvent use. Amphetamine was detected consistently across methanol, artificial urine, and human urine matrices. It had a retention time of 4.1 minutes, with the total runtime being 13 minutes. The limit of detection (LOD) is 0.033 μg/mL which is well below 0.25 μg/mL federal cutoff limit confirming methods utility for forensic analysis. Calibration curves demonstrated excellent R2 > 0.99. The liquid-liquid extraction was with 0.5 mL solvent and 0.5 mL sample. It is the lowest extraction solvent volume using chloroform. Selected Ion Monitoring (SIM) that we targeted were 44, 65, 118 m/z. The dominant quantifier observed under our conditions was 44 m/z, which is a divergence from commonly reported base peaks of m/z 91 or 118. However, it is consistent with our instrument specific fragmentation behavior under the optimized source temperature of 230 °C. The accompanying recovery rate is 84% under basified conditions. By eliminating derivatization and minimizing sample and solvent volume, this method offers a streamlined, reproducible workflow appropriate for routine toxicology laboratory use.
dc.description.provenanceSubmitted by Eusha Azmain (eazmain@g.emporia.edu) on 2026-11-04T21:57:37Z No. of bitstreams: 1 Azmain_Eusha_Thesis_Acessible_FINAL_ESIRC submission_2026.pdf: 2467118 bytes, checksum: 145a2ea6913e3b7c008e93cb6f23e626 (MD5)en
dc.description.provenanceMade available in DSpace on 2026-11-04T21:57:37Z (GMT). No. of bitstreams: 1 Azmain_Eusha_Thesis_Acessible_FINAL_ESIRC submission_2026.pdf: 2467118 bytes, checksum: 145a2ea6913e3b7c008e93cb6f23e626 (MD5) Previous issue date: 2026-04-30en
dc.description.sponsorshipSincere appreciation is extended to the School of Science and Mathematics at ESU and to K-INBRE for the funding that enables continued research with advanced instrumentation at the forefront of forensic toxicology and pharmaceutical science. Thank you to Bryan Jones and Gwen Spade for securing graduate funding and organizing Research and Creativity Day and the Capitol Graduate Research Summit, which provided the opportunity to represent ESU and receive first-place recognition for this thesis and its related poster presentation.
dc.identifier.citationN/A
dc.identifier.issnN/A
dc.identifier.urihttp://esirc.emporia.edu/handle/123456789/3680
dc.language.isoen_US
dc.publisherEmporia State University
dc.relation.ispartofseriesN/A; N/A
dc.subjectGas chromatography–mass spectrometry
dc.subjectAmphetamine
dc.subjectSensitivity
dc.subjectGCMS
dc.subjectQUANTITY
dc.subjectMEDICINE::Chemistry::Forensic chemistry
dc.subjectFORENSIC TOXICOLOGY
dc.subjectPharmaceutical Science
dc.subjectDRUG CHEMISTRY
dc.subjectAMPHETAMINE
dc.subjectGas Chromatography
dc.subjectMass Spectrometry
dc.titleSimple and Rapid: An Optimized GC–MS Workflow for Screening Amphetamine in Urine
dc.title.alternativeAzmain_Eusha_Thesis_Acessible_FINAL_ESIRC submission_2026
dc.typeThesis

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