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<p>  </p> <p>Nationwide use of illicit drugs has continued to rise over the last few decades, with more than a two-fold increase in global seizures from 2016 and 2020. Most seized drug samples are complex mixtures of drugs and cutting agents, which can complicate the detection and quantification of the illicit drugs in the sample. The presence of these cutting agents can however be beneficial for source tracing purposes, as the majority of cutting agents are selected based on availability in the area where the bulk drug was prepared. The goal of this work was to conduct a systematic study of the electrochemical characteristics of the most common cutting agents found in illicit drugs using unmodified, commercially available glassy carbon electrodes. The long-term goal is to establish an extensive database of electrochemical characterizations of cutting agents and illicit drugs encountered by law enforcement using unmodified, commercially available electrodes to help expand the developing field of forensic electrochemical analyses. This database could then be referenced for the identification of unknown samples to determine the presence of possible illicit drugs and cutting agents that are present to help guide the analyst in further testing.</p> <p>The standard methods for drug detection include a combination of laboratory testing and field-deployable assays ranging from colorimetric tests to gas chromatography-mass spectrometry instrumentation. These detection methods, as well as relevant literature were investigated in Chapter 1. The most used screening methods for illicit drugs are colorimetric tests; however, these assays are prone to false positives. Chapter 1 introduces the existing applications and current research efforts in forensic electrochemistry by describing relevant electrochemical sensors and methods and examining in particular their performance regarding accuracy, sensitivity, and low-cost claims. This overview highlights the broad possibilities of electrochemical analysis in forensics as well as the opportunities when applied to detection and quantification of illicit drugs, demonstrating the current needs for more systematic and consistent characterizations of cutting agents found in seized-drug samples. Chapter 2 details the material, reagents, and experimental conditions, showing their simplicity, and the standard electrochemical and preparative equipment used geared towards an easy implementation in any analytical laboratory. Chapter 3 describes the systematic voltametric characterizations performed on thirteen common cutting agents: phenacetin hydrochloride, levamisole hydrochloride, diphenhydramine hydrochloride, quinine, acetaminophen, ascorbic acid, caffeine, lactose, inositol, mannitol, glucose, sodium bicarbonate and calcium carbonate. In addition to the common, information-rich cyclic voltammetry (CV), differential pulse voltammetry (DPV) and square wave voltammetry (SWV) were used as these pulsed electroanalytical methods are typically considered more sensitive than CV and often employed for quantitative analyses of species present at low concentrations (Chapter 3). Overall, DPV resulted in voltammograms with peaks shaped closer to the ideal redox peaks, also referred to as ‘better defined’, thus enhancing the analytical performance of the assay. For example, In the analysis of diphenhydramine hydrochloride, DPV permitted the measurement of an oxidation with a peak displayed at 1.0 V vs Ag/AgCl, which was not observable when performing CV or SWV. On the other hand, SWV provided noticeably greater intensities of peak current, which allowed for a better detection of the difficult-to-observe redox reactions of quinine occurring at -0.4, 0.0 and 0.4 V vs Ag/AgCl.</p> <p>Some chemical species when present in seized drugs can alter the pH of the tested samples, such as ascorbic acid. Changes in pH will impact the redox activity of the pH-dependent electroactive species present in a sample, thus we investigated how pH of the solvent affected the observation of the redox peaks of those susceptible cutting agents, namely ascorbic acid, quinine, diphenhydramine hydrochloride, and levamisole hydrochloride (Chapter 4). Of particular interest was a significant change in the electrochemical characterization of these species when the pH was varied around their pKa values. Additionally, the composition of the solvent, or supporting electrolyte (SE) solution, can in some cases result in interactions with the analytes in the sample; the study of caffeine with different SE in Chapter 4 illustrates this situation. Specifically, sulfuric acid was the most suited SE of those tested for caffeine analysis.</p> <p>The impact of successive voltametric scans, on the analysis of chemical species were also investigated, using acetaminophen and quinine, demonstrating the development of additional redox peaks in some situations that could provide additional elements towards a more individualized electrochemical profile for cutting agents (Chapter 4). </p> <p>The influence of the material of the working electrode on the electrochemical characterization of cutting agents was explored. Solutions of ascorbic acid, acetaminophen, quinine, and diphenhydramine hydrochloride were electrochemically characterized using a glassy carbon and a platinum working electrode, while ascorbic acid was also characterized on gold and silver electrodes. These examples demonstrate the adaptability of this electroanalytical method with various commonly used electrodes. (Chapter 4). In Chapter 5, we applied similar electrochemical method to the identification of cutting agents and illicit drugs in two-component mixtures. Specifically, these trials included mixtures of fentanyl with a cutting agent at a relative ratio of 1 : 100, using as cutting agents ascorbic acid, diphenhydramine hydrochloride, or glucose, demonstrating the ability of this simple electrochemical method using common commercial electrodes to simultaneously detect illicit drugs and cutting agents. </p>

The sheer number, continuous emergence, heterogeneity and wide chemical and structural diversity of New Psychoactive Substance (NPS) products are factors being exploited by illicit drug designers to obscure detection of these compounds. Despite the advances in analytical techniques currently used by forensic and toxicological scientists in order to enable the identification of NPS, the lack of a priori knowledge of sample content makes it very challenging to detect an 'unknown' substance. The work presented in this thesis serves as a proof-of-concept by combining similarity studies, Raman spectroscopy and chemometrics, underpinned by robust pre-processing methods for the identification of existing or newly emerging NPS. It demonstrates that the use of Raman spectroscopy, in conjunction with a 'representative' NPS Raman database and chemometric techniques, has the potential for rapidly and non-destructively classifying NPS according to their chemical scaffolds. The work also demonstrates the potential of indicating the purity in formulations typical of those purchased by end users of the product i.e. 'street-like' mixtures. Five models were developed, and three of these provided an insight into the identification and classification of NPS depending on their purity. These are: the 'NPS and non-NPS/benchtop' model, the 'NPS reference standards/handheld' model and the 'NPS and non-NPS/handheld' model. In the 'NPS and non-NPS/benchtop' model (laser λex = 785 nm), NPS internet samples were projected onto a PCA model derived from a Raman database comprising 'representative' NPSs and cutting agent/ adulterant reference standards. This proved the most successful in suggesting the likely chemical scaffolds for NPS present in samples bought from the internet. In the 'NPS reference standards/handheld' model (laser λex = 1064 nm), NPS reference standards were projected onto a PCA model derived from a Raman database comprising 'representative' NPSs. This was the most successful of the three models with respect to the accurate identification of pure NPS. This model suggested chemical scaffolds in 89% of samples compared to 76% obtained with the benchtop instrument, which generally had higher fluorescent backgrounds. In the 'NPS and non-NPS/handheld' model (laser λex = 1064 nm), NPS internet samples were projected onto a PCA model derived from a Raman database comprising 'representative' NPSs and cutting agent/ adulterant reference standards. This was the most successful in differentiating between NPS internet samples dependent on their purity. In all models, the main challenges for identification of NPS were spectra displaying high fluorescent backgrounds and low purity profiles. The 'first pass' matching identification of NPS internet samples on a handheld platform was improved to ~50% using a laser source of 1064 nm because of a reduction in fluorescence at this wavelength. We outline limitations in using a handheld platform that may have added to problems with appropriate identification of NPS in complex mixtures. However, the developed models enabled the appropriate selection of Raman signals crucial for identification of NPS via data reduction, and the extraction of important patterns from noisy and/or corrupt data. The models constitute a significant contribution in this field with respect to suggesting the likely chemical scaffold of an 'unknown' molecule. This insight may accelerate the screening of newly emerging NPS in complex matrices by assigning them to: a structurally similar known molecule (supercluster/ cluster); or a substance from the same EMCDDA/EDND class of known compounds. Critical challenges in instrumentation, chemometrics, and the complexity of samples have been identified and described. As a result, future work should focus on: optimising the pre-processing of Raman data collected with a handheld platform and a 1064 nm laser λex; and optimising the 'representative' database by including other properties and descriptors of existing NPS.