Characterization of 17 unknown ketamine manufacturing by-product impurities by UHPLC-QTOF-MS

This study initially reported the selection and characterization of 17 unknown impurities attributed to the manufacture process of ketamine. A total of 150 seized ketamine samples were investigated through ultra-high-performance liquid chromatography-quadrupole-time of flight (UHPLC-Q-TOF). Seventeen characteristic impurities were selected in accordance with four criteria: The compound was detected in over 10% of all 150 seized ketamine samples, the compound had at least one nitrogen, the unsaturation of the compound was more than 5, and the compound was stable in the dilution solvent solution for 48 h. The accurate masses of the protonated molecules and product ions of the target impurities were obtained based on the full scan mode and the product ion mode of Q-TOF, respectively. Lastly, the possible structures of the above impurities were tentatively elucidated in accordance with the synthetic route of ketamine, protonated molecules, and MS2 product ions. All 17 impurities had the same skeleton of deschloroketamine (DCK), but were substituted with additional chlorine, hydroxyl, methyl, cyclohexane, and o-chlorophenyl cyclopentyl ketone substituents. Under the electrospray ionization (ESI), the above impurities showed similar characteristic fragment ions through the dissociation of the CH3NH2, C2H6NH, H2O, CO, C2H4O, C4H6, and C2H2 moieties. The above impurities have been routinely used for the profiling analysis of seized ketamine samples in the National Narcotics Laboratory of China and employed to establish the tactical intelligence for law enforcement agencies.

Dereplication of tropane alkaloids from four Erythroxylum species using liquid chromatography coupled with ESI-MSn and HRESIMS

RATIONALE

Tropane alkaloids represent an important class of secondary metabolites, but many of these compounds are already described in the scientific literature, so the use of guided identification and isolation strategies, such as dereplication, represent a fast and safe alternative.

METHODS

For the annotation of the tropane alkaloids the chloroform phases of the four Erythroxylum species were analyzed by high-performance liquid chromatography coupled to mass spectrometry with positive-mode electrospray ionization, then the ions of their protonated molecules, molecular formulas and fragmentation patterns were observed and a comparison of the obtained data with those present in the scientific literature was performed. The compounds not fully annotated were isolated and characterized by 1 H and 13 C nuclear magnetic resonance spectroscopy.

RESULTS

The annotation of 29 tropane alkaloids was performed, some being described for the first time in the family Erythroxylaceae. The chemical profiles of these secondary metabolites in the four Erythroxylum species analyzed were traced and compared. Isolation of three compounds whose mass spectral data were not sufficient for their full annotation was performed. They were 6-(benzoyloxy)-3-(3,5-dimethoxy-4-hydroxybenzoyloxy)tropane, 6-(benzoyloxy)-3-(3,4,5-trimethoxybenzoyloxy)tropane and 6-(benzoyloxy)-3-(3,4,5-trimethoxycinamoyloxy)tropane, first reported in the species Erythroxylum revolutum Mart.

CONCLUSIONS

This work contributes to the phytochemical knowledge of the genus Erythroxylum, and demonstrates the efficiency and importance of using guided isolation methodologies of secondary metabolites in natural products research. Since safe results were presented in the annotation of the compounds evidenced, employing small quantities of organic solvents, when compared to classical methodologies, besides promoting an optimization in the research time.

Impurities, adulterants and cutting agents in cocaine as potential candidates for retrospective mining of GC-MS data

Cocaine is one of the most widely used illicit drugs worldwide. Cocaine powders seized by the Police may contain numerous other substances besides the drug itself. These can be impurities originating from the coca plant or the production process, or be purposely added to the drug formulation as adulterants and cutting agents. In forensic laboratories, identification of cocaine is routinely done through GC-MS analysis, but other components are often ignored even if the method allows for their detection. Yet, they can provide valuable insight into the history of a seizure and its potential connection to other samples. To explore this idea, an extensive review of common impurities and adulterants encountered in cocaine is presented. Based on their incidence, concentration in the end product and compatibility with GC-MS methods, their overall usefulness as candidates for the statistical investigation of existing forensic data is evaluated. The impurities cis- and trans-cinnamoylcocaine, tropacocaine, norcocaine and N-benzoylnormethylecgonine as well as the adulterants lidocaine, procaine, tetracaine, benzocaine, caffeine, acetylsalicylic acid, phenacetin, ibuprofen, levamisole, hydroxyzine and diltiazem are promising candidates to provide additional forensic intelligence. Future research on optimized routine GC-MS methods, signal reproducibility, comparison, statistics and databases is suggested to facilitate this concept. Ultimately, such an approach may significantly advance the amount of information that is extracted from routine casework data, elucidate developments in the cocaine markets in the past and facilitate Police work in the future. Preliminary assessment of existing data from the forensic laboratory of the Amsterdam Police has been included to show that the detection of the identified target impurities is feasible, and that small adjustments to the analysis method could significantly increase the detectability of these analytes in prospective drug screenings. Forensic intelligence based on retrospective data mining of cocaine containing casework samples may thus be realized with minimal additional laboratory efforts by using already available instrumentation, samples and data.

Cocaine profiling method retrospectively developed with nontargeted discovery of markers using liquid chromatography with time-of-flight mass spectrometry data

Illicit drug profiling performed by forensic laboratories assists law enforcement agencies through providing information about chemical and/or physical characteristics of seized specimens. In this article, a model was developed for the comparison of seized cocaine based on retrospective analysis of data generated from ultrahigh performance liquid chromatography with time‐of‐flight mass spectrometry (UHPLC‐TOF‐MS) comprehensive drug screening. A nontargeted approach to discover target compounds was employed, which generated 53 potential markers using data from cocaine positive samples. Twelve marker compounds were selected for the development of the final profiling model. The selection included a mixture of commonly used cocaine profiling targets and other cocaine‐related compounds. Combinations of pretreatments and comparison metrics were assessed using receiver operating characteristic curves to determine the combination with the best discrimination between linked and unlinked populations. Using data from 382 linked and 34,519 unlinked distances, a classification model was developed using a combination of the standardization and normalization transformations with Canberra distance, resulting in a linked cut‐off with a 0.5% false positive rate. The present study demonstrates the applicability of retrospectively developing a cocaine profiling model using data generated from UHPLC‐TOF‐MS nontargeted drug screening without pre‐existing information about cocaine impurities. The developed workflow was not specific to cocaine and thus could potentially be applied to any seized drug in which there are both sufficient data and impurities present.

New qualitative analysis strategy for illicit drugs using Raman spectroscopy and characteristic peaks method

Performing fast qualitative identification of seized illegal drugs by Raman spectroscopy is challenging due to fluorescence interference as well as chemical complexity. Spectrometers with 785-nm excitation, 1,064-nm excitation, and sequentially shifted excitation (SSE) were compared for their effect on fluorescence reduction. The characteristic peaks method, which is independent of cutting agents, was tested as a new strategy to broaden the application of the Raman technique. The suitability of the characteristic peaks method was fully examined by analyzing a large amount of seized illegal drugs, including 72 methamphetamine hydrochloride (concentration range of 13.9%-99.4%), 68 ketamine hydrochloride (17.7%-99.8%), 176 heroin hydrochloride (5.2%-79.5%), 51 cocaine hydrochloride (21.1%-94.5%), and 33 cocaine base (30.9%-92.5%) samples. The results showed that seized methamphetamine, ketamine, and cocaine samples had no or little fluorescence. Hence, in regard to detection of these samples, the advantage of using 1,064-nm excitation and SSE compared with 785-nm excitation was quite limited. Regarding the heroin samples, a significant improvement of the "high" confident positive detected rate was evident for 1,064 nm excitation (60.8%) and SSE (61.4%), compared with 785-nm excitation (13.1%). However, it was also seen that even if 1,064-nm excitation and SSE were applied, the fluorescence of heroin samples was still unable to be fully overcome. By using the characteristic peaks method, low LOD results of 5%-20% were acquired for 40 types of drug mixtures, and lower LODs were obtained for the 60% of the drug mixtures compared with library searching method. Raman spectroscopy in conjunction with the characteristic peaks method was shown to be fast, simple, accurate, and sensitive in the qualitative analysis of seized drug samples.

A data-driven methodology to discover similarities between cocaine samples

Machine learning has been used for distinct purposes in the science field but no applications on illegal drug have been done before. This study proposes a new web-based system for cocaine classification, profiling relations and comparison, that is capable of producing meaningful output based on a large amount of chemical profiling’s data. In particular, the Profiling Relations In Drug trafficking in Europe (PRIDE) system, offers several advantages to intelligence actions across Europe. Thus, it provides a standardized, broad methodology which uses machine learning algorithms to classify and compare drug profiles, highlight how similar drug samples are, and how probable it is that they share a common origin, batch, or preparation process. We evaluated the proposed algorithms using precision and recall metrics and analyzed the quality of predictions performed by the algorithms, with respect to our gold standard. In our experiments, we reached a value of 88% for F_0.5-measure, 91% for precision, and 78% for recall, confirming our main hypothesis: machine learning can learn and be applied to have an automatic classification of cocaine profiles.

Interpol review of controlled substances 2016-2019

This review paper covers the forensic-relevant literature in controlled substances from 2016 to 2019 as a part of the 19th Interpol International Forensic Science Managers Symposium. The review papers are also available at the Interpol website at: https://www.interpol.int/content/download/14458/file/Interpol%20Review%20Papers%202019.pdf.

Systemic Pharmacokinetics of Topical Intranasal Cocaine in Healthy Subjects

Background

Topical cocaine is currently available for local anesthesia of the upper airway mucous membranes.

Objective

The objective of this study was to define the safety and efficacy of topical intranasal cocaine for a subsequent phase II clinical trial.

Methods

This study was a single-dose, single-center, and open-label study of the plasma and urinary pharmacokinetics (PK) of 4% topical cocaine and its major metabolites, benzoylecgonine (BE) and ecgonine methyl ester (EME), in 30 healthy subjects. Subjects received the topical solution on cotton pledgets containing 4 mL of 4% topical cocaine applied for 20 minutes, which was equivalent to 160 mg of cocaine hydrochloride.

Results

A total of 30 subjects (14 males and 16 females) were enrolled, treated, and provided PK data for analysis. Mean plasma concentrations of cocaine rose rapidly during the intranasal exposure period, with peak levels (Cmax, 37.0 ± 17.3 ng/mL) observed at the time of pledget removal (Tmax, 0.43 ± 0.34 h). Mean plasma concentrations then fell rapidly and monoexponentially for the remainder of the study, with a mean half-life (t1/2) of 1.04 ± 0.35 hours. Following a 20-minute topical intranasal exposure to a 160 mg dose of cocaine 4% solution, the mean 0 to 12 hours recoveries of cocaine, BE, and EME were 117 ± 67 μg, 816 ± 440 μg, and 275 ± 113 μg, respectively. Plotting urinary recovery by collection interval showed that urinary excretion of cocaine closely followed the time course of plasma cocaine.

Conclusions

Cocaine was rapidly but incompletely absorbed and then rapidly eliminated. Only 4% of the administered cocaine dose appeared to be absorbed in this study. Cocaine appeared in the urine with a time course similar to that in plasma.

Screening of drugs and homeopathic products from Atropa belladonna seed extracts: Tropane alkaloids determination and untargeted analysis

Homeopathic products are still a controversial issue in modern medicine, understood as complementary or alternative medicine (CAM). In this particular case, homeopathic products prepared from Atropa belladonna extracts may present specific problems due to the effects derived from its components. This article applies a simple, rapid, reliable method to the analysis of different homeopathic products obtained from Atropa belladonna; drugs containing high concentration of plant extracts; and Atropa belladonna seeds. The method was based on a simple solid-phase preconcentration method followed by ultra-high pressure liquid chromatography (UHPLC) coupled to high resolution mass spectrometry using Exactive-Orbitrap as an analyser. An in-house database was set and atropine and scopolamine were the compounds detected at highest concentrations in homeopathic products from Atropa belladonna extracts (4.57 and 2.56 μg/kg, respectively), in Belladonna ointment (4007 and 1139 μg/kg, respectively) and Belladonna seeds (338 and 32.1 mg/kg, respectively). Other tropane alkaloids such as tropine, apoatropine, aposcopolamine, tropinone, homatropine, and anisodamine were detected at lower concentrations (0.04-1.36 μg/kg). When untargeted analysis was performed, other tropane alkaloids were identified in the tested samples, such as ecgonine (0.003 μg/kg), benzoylecgonine (0.56 μg/kg), calystegines A (19.6 μg/kg), B (33.1 μg/kg), and C (1.01 μg/kg). Finally other compounds present in the homeopathic products, such as sugars (fructose, glucose, and lactose) or amino acids (valine, ornithine, leucine, and phenylalanine), were identified.