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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Identification of the "legal high"phenylalkylamine analogues: 5-iodo-2 aminoindane (5-IAI) and 5, 6-methylenedioxy-2-aminoindane (MDAI) by colorimetric tests and GC-MS

Joseph, James S. January 2013 (has links)
Over the past decade, the illicit drug market has experienced an explosion of designer drugs being produced by clandestine laboratories that include modifications of illicit drugs that dominated drug markets for long periods of time (e.g. cathinones and MDMA). These designer drugs, which are commonly known as “legal highs”, are popular due to that fact that they are legally obtainable and not currently controlled. Examples of these include the phenylalkylamine analogues 5-iodo-2-aminoindane (5-IAI) and 5, 6-methylenedixoy-2-amonindane (MDAI), which have similar biological effects to MDMA. In spite of the unknown risk factors associated with these substances, it is believed that “legal highs” continue to have high levels of interest among recreational users. As such, the potential for abuse is high, and 5-IAI and MDAI are under consideration in numerous jurisdictions for regulation. Many of these novel compounds have never been analyzed previously within a forensic setting. The chemical and physical properties of 5-IAI and MDAI are not fully understood. As a result, the analytical analysis of “legal highs” can be challenging. Color test kits provide a quick screening method for law enforcement officials looking to presumptively identify a substance in the field. The difficulty with this form of analysis is that most of the active ingredients present in “legal highs” are not detected by standard presumptive tests, or the results when the tests are used are ambiguous. Gas chromatography-mass spectrometry (GC-MS) is one of the most utilized analytical instruments in forensic laboratories for the identification of drugs of abuse. However, due to the rapid development and commercialization of “legal highs,” the limited availability of certified reference standards and mass spectral data make the confirmatory analysis of “legal highs” challenging. The primary aims of this research were two-fold. The first was to evaluate selected commercially available Narcotics Analysis Reagent Kits (NARK® II) and color reagent formulations recommended by the National Institute of Justice (Color Tests Reagents/ Kits for Preliminary Identification of Drugs of Abuse) to determine if the phenylalkylamine analogues 5-IAI and MDAI generate a color development. If a color was generated using a particular reagent, further testing was conducted to establish if the observed color would be detectable in the presence of various adulterants. The second aim of this research was to develop a rapid GC-MS method for the detection of 5-IAI and MDAI in contrived multi-component mixtures of selected adulterants. Standard color tests provided consistent results for 5-IAI and MDAI pure samples as well as mixtures with adulterants. 5-IAI produced a light brown color with both the Marquis and the methylenedioxypyrovalerone (MDPV) color reagent tests. The Mandelin reagent from the NARK® II test kit produced a greenish brown color and a light green color with the In-House preparations of the same reagent when tested with MDAI. Confirmatory analysis was performed using GC-MS with a temperature gradient. The analysis was performed on a non- polar (5% phenyl) methylpolysiloxane column with a total run time of 10 minutes. 5-IAI and MDAI were chromatographically separated and distinguishable from various adulterants based on retention time and mass to charge ratio.
2

Exploring the sources of peak height reduction during low-template, compromised DNA data analysis

Taranow, Lauren Mikal 05 November 2016 (has links)
The genetic profiles of evidentiary samples found at crime scenes are generated in order to determine the likelihood that a person contributed to DNA to the sample. One of the most challenging aspects of forensic deoxyribonucleic acid (DNA) analysis is that samples collected from crime scenes often contain only trace amounts of DNA; these samples are often referred to as low template DNA (LTDNA). Due to the low initial concentration of genetic material in LTDNA samples, substantive environmental insults will likely result in compromised DNA profiles that exhibit lower allele peak heights than expected, or in some cases, complete allele drop-out. The research detailed in this study investigates the impact various sources of compromise have on relative fluorescent unit (RFU) signal obtained from LTDNA samples. The potential for stochastic allele loss during a silica extraction of DNA prior to downstream processing is first considered using a dynamic systems model simulating the probability for allelic loss at each step in the procedure. Next, the impacts of damaging or degrading the DNA on the electropherogram signal are explored. Trends in RFU signal of LTDNA samples subjected to sonication by a sonic dismembrator probe, ultraviolet (UV) irradiation, and enzymatic digestion by two different enzymes are assessed, with the aim of creating a reference for typical behaviors in RFU signal data in compromised LTDNA. The distributions of electropherogram profile data from compromised LTDNA are then compared against one another in order to determine if the compromising methods explored in the study act on the samples in similar ways. The RFU signal data from the compromised LTDNA are then evaluated alongside the provided degradation index (DI) value resulting from quantification using the Quantifiler® Trio quantification kit (Thermo Fisher Scientific, Oyster Point, CA). The DI value acts as an early assessment of the quality of DNA samples and can be used to optimize downstream processing. Its ability to accurately predict behavior in compromised LTDNA samples is assessed through comparison of the DI value to the decrease in RFU signal as the samples are subjected to higher levels of simulated environmental insults.

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