• Login
    View Item 
    •   Home
    • Theses and Dissertations
    • Theses and Dissertations
    • View Item
    •   Home
    • Theses and Dissertations
    • Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of TUScholarShareCommunitiesDateAuthorsTitlesSubjectsGenresThis CollectionDateAuthorsTitlesSubjectsGenres

    My Account

    LoginRegister

    Help

    AboutPeoplePoliciesHelp for DepositorsData DepositFAQs

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    A MORE TIMELY PROCESS FOR IDENTIFYING AND ANALYZING TRENDS OF EMERGING NOVEL PSYCHOACTIVE SUBSTANCES IN THE UNITED STATES

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Krotulski_temple_0225E_13886.pdf
    Size:
    9.320Mb
    Format:
    PDF
    Download
    Genre
    Thesis/Dissertation
    Date
    2019
    Author
    Krotulski, Alex James
    Advisor
    Varnum, Susan A.
    Committee member
    Wengryniuk, Sarah E.
    Valentine, Ann M.
    Logan, Barry K.
    Department
    Chemistry
    Subject
    Chemistry, Analytical
    Toxicology
    Data Mining
    Forensic Toxicology
    Lc-qtof-ms
    Mass Spectrometry
    Nps
    Sample Mining
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/1665
    
    Metadata
    Show full item record
    DOI
    http://dx.doi.org/10.34944/dspace/1647
    Abstract
    Novel psychoactive substances (NPS) are synthetic drugs that pose serious public health and safety concerns as their ingestion by recreational drug users continues to cause adverse events and death. A multitude of NPS have been implicated in forensic investigations in the United States, but the identification of these emerging substances is challenging and complex, requiring advanced analytical capabilities and novel analysis workflows. The most common and effective manner for identifying NPS is by the use of mass spectrometry, while the true utility of this technology lies within non-targeted acquisition techniques. This research sought to utilize novel drug screening technologies and customized methodologies to characterize current NPS use in high risk populations through the analysis of biological sample extracts discarded from a partnering forensic toxicology reference laboratory. Specifically, NPS detection, identification, and characterization were the primary foci to produce increased awareness and education on a national level. To accomplish these goals, two novel workflows were developed: sample mining and data mining. A liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) assay was developed, validated, and implemented for forensic toxicology analytical testing. A SCIEX TripleTOF™ 5600+ QTOF-MS with SWATH® acquisition coupled to a Shimadzu Nexera XR UHPLC was used. Resulting data were compared against an extensive in-house library database containing more than 800 analytes. The LC-QTOF-MS assay was applied to the re-analysis of biological sample extracts to discover emergent NPS, their metabolites, and trends in use patterns. In total, 3,543 biological sample extracts were analyzed during this research and 21 emerging NPS were detected, some for the first time, through sample mining. Among these emerging substances were the NPS opioids: isopropyl-U-47700, 3,4-methylenedioxy-U-47700, and fluorofuranylfentanyl; the NPS opioid precursors: N-methyl norfentanyl and benzylfuranylfentanyl; the NPS hallucinogens: 2F-deschloroketamine, methoxy-PCP, and hydroxy-PCP; the NPS stimulants: 3,4-methylenedioxy-alpha-PHP, eutylone, and N-ethyl hexedrone; and the NPS benzodiazepine: flualprazolam. With respect to trends, NPS opioid positivity declined over time during this research; however, fentanyl positivity was persistent. Heroin and 3,4-methylenedioxymethamphetamine (MDMA) positivity appeared to decline slightly, but further temporal evaluation is necessary. NPS were less likely to be found in combination with other NPS; only one NPS substance was found in 82.5% of NPS-positive samples. Fentanyl poly-drug use was common, including concurrent or proximate use with traditional opioids (42.8%), NPS opioids (27.3%), cocaine (26.4%), methamphetamine (13.1%), NPS stimulants (4.2%), and other substances. The evaluation of in vitro metabolism for five emerging NPS detected for the first time during this research (3,4-methylenedioxy-U-47700, ortho-fluorofuranylfentanyl, 2F-deschloroketamine, eutylone, and N-ethyl hexedrone) resulted in the characterization of major metabolic pathways and the identification of metabolites presence in vivo by data mining of extract datafiles. These major metabolites provide utility for forensic laboratories to prolong detection windows for NPS. The primary metabolite identified for 3,4-methylenedioxy-U-47700 was N-demethyl-3,4-methylenedioxy-U-47700; the primary metabolite identified for ortho-fluorofuranylfentanyl was fluoro-4-ANPP; the primary metabolite identified for 2F-deschloroketamine was 2F-deschloro-norketamine; and the primary metabolites identified for eutylone and N-ethyl hexedrone were products of hydrogenation to the beta-ketone. As shown through this research, NPS continue to appear in forensic toxicology casework and novel assays for their detection and characterization are critical to remaining at the forefront of emerging drug trends and recreational drug use. LC-QTOF-MS was a vital piece of the analytical puzzle for discovering and characterizing emerging NPS and their metabolites. Analytical chemists must continue research involving NPS to broaden our understanding of synthetic drugs and their public health and safety impacts.
    ADA compliance
    For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
    Collections
    Theses and Dissertations

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Temple University Libraries | 1900 N. 13th Street | Philadelphia, PA 19122
    (215) 204-8212 | scholarshare@temple.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.