1
|
Wang F, Pasin D, Skinnider MA, Liigand J, Kleis JN, Brown D, Oler E, Sajed T, Gautam V, Harrison S, Greiner R, Foster LJ, Dalsgaard PW, Wishart DS. Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances. Anal Chem 2023; 95:18326-18334. [PMID: 38048435 PMCID: PMC10733899 DOI: 10.1021/acs.analchem.3c02413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 11/10/2023] [Accepted: 11/13/2023] [Indexed: 12/06/2023]
Abstract
The market for illicit drugs has been reshaped by the emergence of more than 1100 new psychoactive substances (NPS) over the past decade, posing a major challenge to the forensic and toxicological laboratories tasked with detecting and identifying them. Tandem mass spectrometry (MS/MS) is the primary method used to screen for NPS within seized materials or biological samples. The most contemporary workflows necessitate labor-intensive and expensive MS/MS reference standards, which may not be available for recently emerged NPS on the illicit market. Here, we present NPS-MS, a deep learning method capable of accurately predicting the MS/MS spectra of known and hypothesized NPS from their chemical structures alone. NPS-MS is trained by transfer learning from a generic MS/MS prediction model on a large data set of MS/MS spectra. We show that this approach enables a more accurate identification of NPS from experimentally acquired MS/MS spectra than any existing method. We demonstrate the application of NPS-MS to identify a novel derivative of phencyclidine (PCP) within an unknown powder seized in Denmark without the use of any reference standards. We anticipate that NPS-MS will allow forensic laboratories to identify more rapidly both known and newly emerging NPS. NPS-MS is available as a web server at https://nps-ms.ca/, which provides MS/MS spectra prediction capabilities for given NPS compounds. Additionally, it offers MS/MS spectra identification against a vast database comprising approximately 8.7 million predicted NPS compounds from DarkNPS and 24.5 million predicted ESI-QToF-MS/MS spectra for these compounds.
Collapse
Affiliation(s)
- Fei Wang
- Department
of Computing Science, University of Alberta, Edmonton, Alberta T6G 2E8, Canada
- Alberta
Machine Intelligence Institute, Edmonton, Alberta T5J
3B1, Canada
| | - Daniel Pasin
- Section
of Forensic Chemistry, Department of Forensic Medicine, University of Copenhagen, Copenhagen 2100, Denmark
| | - Michael A. Skinnider
- Michael
Smith Laboratories, University of British
Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- Lewis-Sigler
Institute for Integrative Genomics, Princeton
University, Princeton, New Jersey 08544, United States
- Ludwig Institute
for Cancer Research, Princeton University, Princeton, New Jersey 08544, United States
| | - Jaanus Liigand
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
- Institute
of Chemistry, University of Tartu, Tartu 50411, Estonia
| | - Jan-Niklas Kleis
- Institute
of Forensic Medicine, Forensic Toxicology, Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - David Brown
- Forensic
Science Laboratory, ChemCentre, Bentley, Western Australia 6102, Australia
- School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia 6009, Australia
| | - Eponine Oler
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Tanvir Sajed
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Vasuk Gautam
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Stephen Harrison
- Forensic
Science Laboratory, ChemCentre, Bentley, Western Australia 6102, Australia
| | - Russell Greiner
- Department
of Computing Science, University of Alberta, Edmonton, Alberta T6G 2E8, Canada
- Alberta
Machine Intelligence Institute, Edmonton, Alberta T5J
3B1, Canada
| | - Leonard J. Foster
- Michael
Smith Laboratories, University of British
Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- Department
of Biochemistry and Molecular Biology, University
of British Columbia, Vancouver, British Columbia V6T 2A1, Canada
| | - Petur Weihe Dalsgaard
- Section
of Forensic Chemistry, Department of Forensic Medicine, University of Copenhagen, Copenhagen 2100, Denmark
| | - David S. Wishart
- Department
of Computing Science, University of Alberta, Edmonton, Alberta T6G 2E8, Canada
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
- Department of Laboratory
Medicine and Pathology, University of Alberta, Edmonton, Alberta T6G 1C9, Canada
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta T6G 2C8, Canada
- Biological Sciences Division, Pacific Northwest
National Laboratory, Richland, Washington 99354, United States
| |
Collapse
|
2
|
Matey JM, Zapata F, Menéndez-Quintanal LM, Montalvo G, García-Ruiz C. Identification of new psychoactive substances and their metabolites using non-targeted detection with high-resolution mass spectrometry through diagnosing fragment ions/neutral loss analysis. Talanta 2023; 265:124816. [PMID: 37423179 DOI: 10.1016/j.talanta.2023.124816] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/24/2023] [Accepted: 06/12/2023] [Indexed: 07/11/2023]
Affiliation(s)
- José Manuel Matey
- Department of Chemistry and Drugs, National Institute of Toxicology and Forensic Sciences, C/ José Echegaray Nº4, 28232, Las Rozas de Madrid, Madrid, Spain; Universidad de Alcalá, Instituto Universitario de Investigación en Ciencias Policiales (IUICP), calle Libreros 27, 28801, Alcalá de Henares, Madrid, España(1); Chemical and Forensic Sciences (CINQUIFOR) Research Group, University of Alcalá, Ctra. Madrid-Barcelona km 33.600, 28871, Alcalá de Henares, Madrid, Spain(2).
| | - Félix Zapata
- Department of Analytical Chemistry, University of Murcia, Campus Espinardo, 30100, Murcia, Spain.
| | - Luis Manuel Menéndez-Quintanal
- Department of Chemistry and Drugs, National Institute of Toxicology and Forensic Sciences, Campus de Ciencias de la Salud, La Cuesta, 38320, La Laguna (Sta. Cruz de Tenerife), Spain.
| | - Gemma Montalvo
- Universidad de Alcalá, Instituto Universitario de Investigación en Ciencias Policiales (IUICP), calle Libreros 27, 28801, Alcalá de Henares, Madrid, España(1); Chemical and Forensic Sciences (CINQUIFOR) Research Group, University of Alcalá, Ctra. Madrid-Barcelona km 33.600, 28871, Alcalá de Henares, Madrid, Spain(2); Universidad de Alcalá, Departamento de Química Analítica, Quimica Física e Ingeniería Química, Ctra. Madrid-Barcelona km 33,6, 28871 Alcalá de Henares, Madrid, España.
| | - Carmen García-Ruiz
- Universidad de Alcalá, Instituto Universitario de Investigación en Ciencias Policiales (IUICP), calle Libreros 27, 28801, Alcalá de Henares, Madrid, España(1); Chemical and Forensic Sciences (CINQUIFOR) Research Group, University of Alcalá, Ctra. Madrid-Barcelona km 33.600, 28871, Alcalá de Henares, Madrid, Spain(2); Universidad de Alcalá, Departamento de Química Analítica, Quimica Física e Ingeniería Química, Ctra. Madrid-Barcelona km 33,6, 28871 Alcalá de Henares, Madrid, España.
| |
Collapse
|
3
|
Uljon S. Advances in fentanyl testing. Adv Clin Chem 2023; 116:1-30. [PMID: 37852717 DOI: 10.1016/bs.acc.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Abstract
Fentanyl is a synthetic opioid that was approved by the FDA in the late 1960s. In the decades since, non-prescription use of fentanyl, its analogs, and structurally unrelated novel synthetic opioids (NSO) has become a worsening public health crisis. There is a clear need for accessible testing for these substances in biological specimens and in apprehended drugs. Immunoassays for fentanyl in urine are available but their performance is restricted to facilities that hold moderate complexity laboratory licenses. Immunoassays for other matrices such as oral fluid (OF), blood, and meconium have been developed but are not widely available. Point of care tests (POCT), such as lateral flow immunoassays or fentanyl test strips (FTS), are widely available but not approved by the FDA for clinical use. All immunoassays are vulnerable to false positive and false negative results. Immunoassays may or may not be able to detect fentanyl analogs and NSOs. Mass spectrometry (MS) can accurately and reliably measure fentanyl and its major metabolite norfentanyl in urine and oral fluid. MS is available at reference laboratories and large hospitals. Liquid chromatography paired with tandem mass spectrometry (LC-MS/MS) is the most widely used method and has outstanding specificity and sensitivity for fentanyl and norfentanyl. When compared to immunoassays, MS is more expensive, requires more technical skill, and takes longer to result. Newer mass spectrometry methods can measure fentanyl analogs and NSO. Both mass spectrometry assays and immunoassays [in the form of fentanyl test strips (FTS)] have potential use in harm reduction programs.
Collapse
Affiliation(s)
- Sacha Uljon
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
| |
Collapse
|
4
|
Klingberg J, Keen B, Cawley A, Pasin D, Fu S. Developments in high-resolution mass spectrometric analyses of new psychoactive substances. Arch Toxicol 2022; 96:949-967. [PMID: 35141767 PMCID: PMC8921034 DOI: 10.1007/s00204-022-03224-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 01/12/2022] [Indexed: 11/17/2022]
Abstract
The proliferation of new psychoactive substances (NPS) has necessitated the development and improvement of current practices for the detection and identification of known NPS and newly emerging derivatives. High-resolution mass spectrometry (HRMS) is quickly becoming the industry standard for these analyses due to its ability to be operated in data-independent acquisition (DIA) modes, allowing for the collection of large amounts of data and enabling retrospective data interrogation as new information becomes available. The increasing popularity of HRMS has also prompted the exploration of new ways to screen for NPS, including broad-spectrum wastewater analysis to identify usage trends in the community and metabolomic-based approaches to examine the effects of drugs of abuse on endogenous compounds. In this paper, the novel applications of HRMS techniques to the analysis of NPS is reviewed. In particular, the development of innovative data analysis and interpretation approaches is discussed, including the application of machine learning and molecular networking to toxicological analyses.
Collapse
Affiliation(s)
- Joshua Klingberg
- Australian Racing Forensic Laboratory, Racing NSW, Sydney, NSW, 2000, Australia.
| | - Bethany Keen
- Centre for Forensic Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | - Adam Cawley
- Australian Racing Forensic Laboratory, Racing NSW, Sydney, NSW, 2000, Australia
| | - Daniel Pasin
- Section of Forensic Chemistry, Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Shanlin Fu
- Centre for Forensic Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| |
Collapse
|
5
|
Identification of 2C-B in Hair by UHPLC-HRMS/MS. A Real Forensic Case. TOXICS 2021; 9:toxics9070170. [PMID: 34357913 PMCID: PMC8309701 DOI: 10.3390/toxics9070170] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/13/2021] [Accepted: 07/13/2021] [Indexed: 01/02/2023]
Abstract
The analysis of drugs of abuse in hair and other biological matrices of forensic interest requires great selectivity and sensitivity. This has been traditionally achieved through target analysis, using one or more analytical methods that include different preanalytical stages, and more complex procedures followed by toxicological laboratories. There is no exception with 2C-series drugs, such as 2C-B, a new psychoactive substance (NPS), which use has emerged and significantly increased, year by year, in the last decades. Continuously new analytical methods are required to selectively detect and identify these new marketed substances at very low concentrations. In this case report, one former case of a polydrug consumer (charged of a crime against public health in Spain) was reanalyzed in hair matrix. In this reanalysis, 2C-B has been positively detected and identified using liquid chromatography coupled to high-resolution mass spectrometry (UHPLC-HRMS/MS). The most selective analytical UHPLC-HRMS/MS method alongside a universal and simpler pretreatment methodology has opened up more possibilities for the detection of substances of different chemical structure and optimization of different HRMS/MS detection approaches allowing the identification of 2-CB in the hair of a real forensic case.
Collapse
|
6
|
Klingberg J, Cawley A, Shimmon R, Fu S. Towards compound identification of synthetic opioids in nontargeted screening using machine learning techniques. Drug Test Anal 2020; 13:990-1000. [PMID: 33207086 DOI: 10.1002/dta.2976] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 11/09/2020] [Accepted: 11/10/2020] [Indexed: 12/16/2022]
Abstract
The constant evolution of the illicit drug market makes the identification of unknown compounds problematic. Obtaining certified reference materials for a broad array of new analogues can be difficult and cost prohibitive. Machine learning provides a promising avenue to putatively identify a compound before confirmation against a standard. In this study, machine learning approaches were used to develop class prediction and retention time prediction models. The developed class prediction model used a naïve Bayes architecture to classify opioids as belonging to either the fentanyl analogues, AH series or U series, with an accuracy of 89.5%. The model was most accurate for the fentanyl analogues, most likely due to their greater number in the training data. This classification model can provide guidance to an analyst when determining a suspected structure. A retention time prediction model was also trained for a wide array of synthetic opioids. This model utilised Gaussian process regression to predict the retention time of analytes based on multiple generated molecular features with 79.7% of the samples predicted within ±0.1 min of their experimental retention time. Once the suspected structure of an unknown compound is determined, molecular features can be generated and input for the prediction model to compare with experimental retention time. The incorporation of machine learning prediction models into a compound identification workflow can assist putative identifications with greater confidence and ultimately save time and money in the purchase and/or production of superfluous certified reference materials.
Collapse
Affiliation(s)
- Joshua Klingberg
- Centre for Forensic Science, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - Adam Cawley
- Racing NSW, Australian Racing Forensic Laboratory, Sydney, New South Wales, Australia
| | - Ronald Shimmon
- Centre for Forensic Science, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - Shanlin Fu
- Centre for Forensic Science, University of Technology Sydney, Ultimo, New South Wales, Australia
| |
Collapse
|
7
|
Maurer HH. Hyphenated high-resolution mass spectrometry-the "all-in-one" device in analytical toxicology? Anal Bioanal Chem 2020; 413:2303-2309. [PMID: 33247339 PMCID: PMC7987635 DOI: 10.1007/s00216-020-03064-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 10/29/2020] [Accepted: 11/11/2020] [Indexed: 12/24/2022]
Abstract
This trend article reviews papers with hyphenated high-resolution mass spectrometry (HRMS) approaches applied in analytical toxicology, particularly in clinical and forensic toxicology published since 2016 and referenced in PubMed. The article focuses on the question of whether HRMS has or will become the all-in-one device in these fields as supposed by the increasing number of HRMS presentations at scientific meetings, corresponding original papers, and review articles. Typical examples for the different application fields are discussed such as targeted or untargeted drug screening, quantification, drug metabolism studies, and metabolomics approaches. Considering the reviewed papers, HRMS is currently the only technique that fulfills the criteria of an all-in-one device for the various applications needed in analytical toxicology. Graphical abstract![]()
Collapse
Affiliation(s)
- Hans H Maurer
- Department of Experimental and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Saarland University, 66421, Homburg (Saar), Germany.
| |
Collapse
|
8
|
Meira VL, de Oliveira AS, Cohen LSA, de A Bhering C, de Oliveira KM, de Siqueira DS, de Oliveira MAM, Aquino Neto FRD, Vanini G. Chemical and statistical analyses of blotter paper matrix drugs seized in the State of Rio de Janeiro. Forensic Sci Int 2020; 318:110588. [PMID: 33278694 DOI: 10.1016/j.forsciint.2020.110588] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 10/26/2020] [Accepted: 11/04/2020] [Indexed: 01/30/2023]
Abstract
Drugs of abuse are psychoactive substances illicitly distributed and used worldwide. In Rio de Janeiro, Brazil, they represent a public health issue and are directly related to several social problems. The recent increase in appearances of new psychoactive substances (NPS), derived from structural modifications of existing psychoactive substances, poses a threat to public health and forensic laboratories worldwide, as little is known about these substances. This study aimed to chemically and geographically map drugs of abuse from blotter papers seized by the Civil Police of Rio de Janeiro State (PCERJ) between 2006 and 2019. High-performance analytical techniques, such as gas chromatography-mass spectrometry (GC-MS) and Orbitrap mass spectrometry (Orbitrap-MS), combined with statistical analyses, were employed to characterize the seized samples. The most common chemical compounds in NPS found in this study were synthetic phenethylamines, i.e., molecules from the 25I-NBOH (2-(((4-iodo-2,5-dimethoxyphenethyl)amino)methyl)phenol) and 25I-NBOMe (2-(4-iodo-2,5-dimethoxyphenyl)-N-(2-methoxybenzyl)ethanamine) families. Prior to 2014, the majority of seized blotter papers contained lysergic acid diethylamide (LSD) and were concentrated in the Metropolitan region. An upsurge in blotter paper seizures was observed from 2014 to 2017; the most common substances during this time were from the NBOMe family. NBOH compounds emerged in 2016 in coastal regions with high tourism, reaching over 1300 items only in 2017. Only one synthetic cannabinoid was found among the blotter papers seized in Rio de Janeiro between 2006 and 2019. The assembled chemical data and statistical analyses allowed the mapping and monitoring of the chemical profiles of the seized blotter papers, providing a strong foundation for the understanding of the origins and movement of these drugs around the RJ State.
Collapse
Affiliation(s)
- Vinícius L Meira
- Universidade Federal do Rio de Janeiro, Instituto de Química, NAF - LADETEC, Rio de Janeiro, RJ, 21941-909, Brazil
| | - Adriana S de Oliveira
- PCERJ, SEPOL, Instituto de Criminalística Carlos Éboli (ICCE), Rio de Janeiro, RJ, 20060-050, Brazil.
| | - Luciana S A Cohen
- PCERJ, SEPOL, Instituto de Criminalística Carlos Éboli (ICCE), Rio de Janeiro, RJ, 20060-050, Brazil
| | - Cecília de A Bhering
- Universidade Federal do Rio de Janeiro, Instituto de Química, NAF - LADETEC, Rio de Janeiro, RJ, 21941-909, Brazil
| | - Karen M de Oliveira
- Universidade Federal do Rio de Janeiro, Instituto de Química, NAF - LADETEC, Rio de Janeiro, RJ, 21941-909, Brazil
| | - Denilson S de Siqueira
- PCERJ, SEPOL, Instituto de Criminalística Carlos Éboli (ICCE), Rio de Janeiro, RJ, 20060-050, Brazil
| | - Marco Antônio Martins de Oliveira
- PCERJ, SEPOL, Instituto de Criminalística Carlos Éboli (ICCE), Rio de Janeiro, RJ, 20060-050, Brazil; Universidade Federal Fluminense, Instituto de Química, GQA, Niterói, RJ, 24020-141, Brazil
| | - Francisco R de Aquino Neto
- Universidade Federal do Rio de Janeiro, Instituto de Química, NAF - LADETEC, Rio de Janeiro, RJ, 21941-909, Brazil
| | - Gabriela Vanini
- Universidade Federal do Rio de Janeiro, Instituto de Química, NAF - LADETEC, Rio de Janeiro, RJ, 21941-909, Brazil
| |
Collapse
|
9
|
Clancy L, Philp M, Shimmon R, Fu S. Development and validation of a color spot test method for the presumptive detection of 25-NBOMe compounds. Drug Test Anal 2020; 13:929-943. [PMID: 32744773 DOI: 10.1002/dta.2905] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 07/26/2020] [Accepted: 07/28/2020] [Indexed: 12/12/2022]
Abstract
The great increase of new psychoactive substances over the past decade has substantially transformed the illicit drug industry to an ever-changing dynamic market. 25-NBOMe compounds are just one of these new substance groups that pose a public health risk in many countries around the world. These highly potent, hallucinogenic phenethylamines have previously been sold as "legal highs" or "synthetic LSD" and the necessity to rapidly identify their presence is crucial. While there are many laboratory-based analytical methods capable of identifying these compounds, the lack of presumptive test methods indicates the need for a specific and timely test that could be used in the field. Herein we outline the developed chemical spot test that can selectively identify the presence of 25-NBOMe compounds and related analogs through the reaction with a substituted benzoquinone reagent under basic conditions. This test method has been comprehensively validated showing a high level of selectivity, specificity, and precision with only two other illicit substances producing similar positive results as 25-NBOMe and few false-negative results seen. The working limit of detection was determined to be 225 μg and there was no cross-reactivity from potential adulterants of significance. This test has also been shown to work directly with blotter papers containing 25-NBOMe compounds, indicating no interference from this common matrix and the ability to differentiate these compounds from LSD. This method shows a high potential to be translated to a field compatible test that is simple, rapid, and selective for 25-NBOMe compounds.
Collapse
Affiliation(s)
- Laura Clancy
- Centre for Forensic Science, University of Technology Sydney, Ultimo, NSW, Australia
| | - Morgan Philp
- Centre for Forensic Science, University of Technology Sydney, Ultimo, NSW, Australia
| | - Ronald Shimmon
- Centre for Forensic Science, University of Technology Sydney, Ultimo, NSW, Australia
| | - Shanlin Fu
- Centre for Forensic Science, University of Technology Sydney, Ultimo, NSW, Australia
| |
Collapse
|
10
|
Klingberg J, Cawley A, Shimmon R, Fouracre C, Pasin D, Fu S. Finding the proverbial needle: Non-targeted screening of synthetic opioids in equine plasma. Drug Test Anal 2020; 13:977-989. [PMID: 32627304 DOI: 10.1002/dta.2893] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/09/2020] [Accepted: 06/28/2020] [Indexed: 01/11/2023]
Abstract
Synthetic opioids are a class of compounds that are of particular concern due to their high potency and potential health impacts. With the relentless emergence of new synthetic opioid derivatives, non-targeted screening strategies are required that do not rely on the use of library spectra or reference materials. In this study, product ion searching, and Kendrick mass defect analysis were investigated for non-targeted screening of synthetic opioids. The estimated screening cut-offs for these techniques ranged between 0.05 and 0.1 ng/mL. These techniques were designed to not be reliant on a particular vendor's software, meaning that they can be applied to existing drug screening protocols, without requiring the development and validation of new analytical procedures. The efficacy of the developed techniques was tested through blind trials, with spiked samples inserted amongst authentic plasma samples, which demonstrated the usefulness of these methods for high-throughput screening. The use of a non-targeted screening workflow that contains complementary techniques can increase the likelihood of detecting compounds of interest within a sample, as well as the confidence in detections that are made.
Collapse
Affiliation(s)
- Joshua Klingberg
- Centre for Forensic Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | - Adam Cawley
- Australian Racing Forensic Laboratory, Racing NSW, Sydney, NSW, 2000, Australia
| | - Ronald Shimmon
- Centre for Forensic Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | | | - Daniel Pasin
- Centre for Forensic Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | - Shanlin Fu
- Centre for Forensic Science, University of Technology Sydney, Broadway, NSW, 2007, Australia
| |
Collapse
|
11
|
Kupriyanova OV, Shevyrin VA, Shafran YM, Lebedev AT, Milyukov VA, Rusinov VL. Synthesis and determination of analytical characteristics and differentiation of positional isomers in the series of
N
‐(2‐methoxybenzyl)‐2‐(dimethoxyphenyl)ethanamine using chromatography–mass spectrometry. Drug Test Anal 2020; 12:1154-1170. [DOI: 10.1002/dta.2859] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 05/12/2020] [Accepted: 05/13/2020] [Indexed: 12/29/2022]
Affiliation(s)
- Olga V. Kupriyanova
- A.E. Arbuzov Institute of Organic and Physical Chemistry FRC Russian Academy of Sciences, Kazan Scientific Center Kazan Russian Federation
- Kazan State Medical University Kazan Russian Federation
| | - Vadim A. Shevyrin
- Ural Federal University Institute of Chemistry and Technology Ekaterinburg Russian Federation
| | - Yuri M. Shafran
- Ural Federal University Institute of Chemistry and Technology Ekaterinburg Russian Federation
| | - Albert T. Lebedev
- Organic Chemistry Department Lomonosov Moscow State University Moscow Russian Federation
| | - Vasili A. Milyukov
- A.E. Arbuzov Institute of Organic and Physical Chemistry FRC Russian Academy of Sciences, Kazan Scientific Center Kazan Russian Federation
| | - Vladimir L. Rusinov
- Ural Federal University Institute of Chemistry and Technology Ekaterinburg Russian Federation
- Postovsky Institute of Organic Synthesis Ural Branch of the Russian Academy of Sciences Yekaterinburg Russian Federation
| |
Collapse
|
12
|
Jones NS, Comparin JH. Interpol review of controlled substances 2016-2019. Forensic Sci Int Synerg 2020; 2:608-669. [PMID: 33385148 PMCID: PMC7770462 DOI: 10.1016/j.fsisyn.2020.01.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 01/23/2020] [Indexed: 12/14/2022]
Abstract
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.
Collapse
Affiliation(s)
- Nicole S. Jones
- RTI International, Applied Justice Research Division, Center for Forensic Sciences, 3040 E. Cornwallis Road, Research Triangle Park, NC, 22709-2194, USA
| | - Jeffrey H. Comparin
- United States Drug Enforcement Administration, Special Testing and Research Laboratory, USA
| |
Collapse
|
13
|
Chan WS, Wong GF, Hung CW, Wong YN, Fung KM, Lee WK, Dao KL, Leung CW, Lo KM, Lee WM, Cheung BKK. Interpol review of toxicology 2016-2019. Forensic Sci Int Synerg 2020; 2:563-607. [PMID: 33385147 PMCID: PMC7770452 DOI: 10.1016/j.fsisyn.2020.01.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 01/23/2020] [Indexed: 12/13/2022]
Abstract
This review paper covers the forensic-relevant literature in toxicology 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%20.Papers%202019.pdf.
Collapse
|
14
|
Triple quadrupole–mass spectrometry protocols for the analysis of NBOMes and NBOHs in blotter papers. Forensic Sci Int 2020; 309:110184. [DOI: 10.1016/j.forsciint.2020.110184] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 01/16/2020] [Accepted: 02/03/2020] [Indexed: 01/30/2023]
|
15
|
Chia XWS, Ong MC, Yeo YYC, Ho YJ, Binte Ahmad Nasir EI, Tan LLJ, Chua PY, Yap TWA, Lim JLW. Simultaneous analysis of 2Cs, 25-NBOHs, 25-NBOMes and LSD in seized exhibits using liquid chromatography–tandem mass spectrometry: A targeted approach. Forensic Sci Int 2019; 301:394-401. [DOI: 10.1016/j.forsciint.2019.05.036] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 03/29/2019] [Accepted: 05/16/2019] [Indexed: 11/29/2022]
|
16
|
Klingberg J, Cawley A, Shimmon R, Fu S. Collision-Induced Dissociation Studies of Synthetic Opioids for Non-targeted Analysis. Front Chem 2019; 7:331. [PMID: 31139620 PMCID: PMC6527801 DOI: 10.3389/fchem.2019.00331] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 04/24/2019] [Indexed: 01/30/2023] Open
Abstract
The continual introduction of a large number of new psychoactive substances, along with the large turnover of these substances, necessitates the development of non-targeted detection strategies to keep pace with the ever-changing drug market. The production of certified reference materials often lags behind the introduction of new substances to the market, therefore these detection strategies need to be able to function without relying on reference materials or library spectra. Synthetic opioids have recently emerged as a drug class of particular concern due to the health issues caused by their incredibly high potency. A common method which has been used for non-targeted analysis in the past involves the identification of common product ions formed as a result of the fragmentation of the parent molecule. These common fragments can then potentially be used as markers to indicate the presence of a particular class of compounds within a sample. In this study, standards of a number of different synthetic opioids, including 14 fentanyl derivatives, 7 AH series opioids, 4 U series opioids, 4 W series opioids and MT-45, were subjected to collision-induced dissociation studies to determine how the compounds fragment. The spectra obtained from these studies included a number of diagnostic fragments common to the different opioid classes that, when used in combination, show potential for use as class predictors. By using simple data processing techniques, such as extracted ion chromatograms, these diagnostic product ions identified can be applied to a non-targeted screening workflow.
Collapse
Affiliation(s)
- Joshua Klingberg
- Centre for Forensic Science, University of Technology Sydney, Ultimo, NSW, Australia
| | - Adam Cawley
- Australian Racing Forensic Laboratory, Racing NSW, Sydney, NSW, Australia
| | - Ronald Shimmon
- Centre for Forensic Science, University of Technology Sydney, Ultimo, NSW, Australia
| | - Shanlin Fu
- Centre for Forensic Science, University of Technology Sydney, Ultimo, NSW, Australia
| |
Collapse
|
17
|
NBOMe compounds: An overview about analytical methodologies aiming their determination in biological matrices. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2019.02.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
18
|
Clinical and Toxicological Profile of NBOMes: A Systematic Review. PSYCHOSOMATICS 2019; 60:129-138. [PMID: 30606495 DOI: 10.1016/j.psym.2018.11.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 11/06/2018] [Accepted: 11/06/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND NBOMes are a new class of potent hallucinogens widely present in illicit drugs. Little is known about this class of drugs, regarding its detection and clinical manifestations of intoxication. OBJECTIVE This study aims to enhance care involving NBOMes by reviewing the literature on their clinical manifestations and laboratorydetection. METHODS A systematic review was performed on the clinical manifestations and laboratory tests of NBOMEs ingestion. Embase, Pubmed, PsycINFO, and Cochrane databases were employed in this analysis. RESULTS Forty-five articles met the inclusion criteria out of the 2814 nonduplicated studies on the theme. Seventy case reports of intoxication were found in the analyzed articles (64.3% were men and 11.4% were women, mean age of 22.5). The technique most employed for NBOMes identification was chromatography of blood, urine, and oral fluids. Moreover, the studies identified 13 chemical structures differentfrom the NBOMes on their toxicological analyses.According to these studies, most of these drugs were ingested orally-nasal use was the second preferred administration route, followed by intravenous administration. CONCLUSION Better identification of the clinicalmanifestations and laboratory profile of NBOMes is crucial to the recognition of intoxication as well as to its effective treatment.
Collapse
|
19
|
Comparison of variable selection methods prior to linear discriminant analysis classification of synthetic phenethylamines and tryptamines. Forensic Chem 2018. [DOI: 10.1016/j.forc.2018.10.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
|
20
|
Šuláková A, Fojtíková L, Holubová B, Bártová K, Lapčík O, Kuchař M. Two immunoassays for the detection of 2C-B and related hallucinogenic phenethylamines. J Pharmacol Toxicol Methods 2018; 95:36-46. [PMID: 30481558 DOI: 10.1016/j.vascn.2018.11.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 10/26/2018] [Accepted: 11/21/2018] [Indexed: 10/27/2022]
Abstract
INTRODUCTION The use of new psychoactive substances as drugs of abuse has dramatically increased over the last years. Hallucinogenic phenethylamines gained particular popularity as they have both stimulating and psychedelic effects. Although generally perceived as safe, these illicit drugs pose a serious health risk; they have been linked to cases of severe poisoning or even deaths. Therefore, simple, cost-effective and reliable methods are needed for rapid determination of abused hallucinogens. METHODS For this purpose, two haptens derived from 2C-H were designed, synthesized and subsequently attached to a carrier protein. Polyclonal antibodies obtained from a rabbit immunized with one of the prepared immunogens were used for the development of two immunoassays. RESULTS In this study, a lateral flow immunoassay (LFIA) and an enzyme linked immunosorbent assay (ELISA) for the detection of 2C-B and related hallucinogenic phenethylamines in urine were developed. The presented LFIA is primarily suitable for on-site monitoring as it is simple and can provide a visual evidence of 2C-B presence within a few minutes. Its reasonable sensitivity (LODLFIA = 15 ± 7 ng mL-1) allows detection of the drug presence in urine after acute exposure. For greater accuracy, highly sensitive ELISA (LODELISA = 6 ± 3 pg mL-1) is proposed for toxicological quantitative analyses of positive samples captured by the LFIA. DISCUSSION The comparison of the ELISA with the well-established UHPLC-MS-MS method shows excellent agreement of results, which confirms good potential of the ELISA to be used for routine analyses of 2C-B and related hallucinogenic phenethylamines of both main sub-families.
Collapse
Affiliation(s)
- Anna Šuláková
- Department of Chemistry of Natural Compounds, University of Chemistry and Technology Prague, Technická 5, 166 28 Praha 6, Dejvice, Czechia; Forensic Laboratory of Biologically Active Substances, University of Chemistry and Technology Prague, Technická 3, 166 28 Praha 6, Dejvice, Czechia; Department of Experimental Neurobiology, National Institute of Mental Health, Topolová 748, 250 67 Klecany, Czechia.
| | - Lucie Fojtíková
- Department of Chemistry of Natural Compounds, University of Chemistry and Technology Prague, Technická 5, 166 28 Praha 6, Dejvice, Czechia; Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Technická 3, 166 28 Praha 6, Dejvice, Czechia.
| | - Barbora Holubová
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Technická 3, 166 28 Praha 6, Dejvice, Czechia.
| | - Kateřina Bártová
- Department of Chemistry of Natural Compounds, University of Chemistry and Technology Prague, Technická 5, 166 28 Praha 6, Dejvice, Czechia; Forensic Laboratory of Biologically Active Substances, University of Chemistry and Technology Prague, Technická 3, 166 28 Praha 6, Dejvice, Czechia
| | - Oldřich Lapčík
- Department of Chemistry of Natural Compounds, University of Chemistry and Technology Prague, Technická 5, 166 28 Praha 6, Dejvice, Czechia.
| | - Martin Kuchař
- Department of Chemistry of Natural Compounds, University of Chemistry and Technology Prague, Technická 5, 166 28 Praha 6, Dejvice, Czechia; Forensic Laboratory of Biologically Active Substances, University of Chemistry and Technology Prague, Technická 3, 166 28 Praha 6, Dejvice, Czechia; Department of Experimental Neurobiology, National Institute of Mental Health, Topolová 748, 250 67 Klecany, Czechia.
| |
Collapse
|
21
|
Grafinger KE, Stahl K, Wilke A, König S, Weinmann W. In vitro phase I metabolism of three phenethylamines 25D-NBOMe, 25E-NBOMe and 25N-NBOMe using microsomal and microbial models. Drug Test Anal 2018; 10:1607-1626. [PMID: 29971945 DOI: 10.1002/dta.2446] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 06/04/2018] [Accepted: 06/15/2018] [Indexed: 12/17/2022]
Abstract
Numerous 2,5-dimethoxy-N-benzylphenethylamines (NBOMe), carrying a variety of lipophilic substituents at the 4-position, are potent agonists at 5-hydroxytryptamine (5HT2A ) receptors and show hallucinogenic effects. The present study investigated the metabolism of 25D-NBOMe, 25E-NBOMe, and 25N-NBOMe using the microsomal model of pooled human liver microsomes (pHLM) and the microbial model of the fungi Cunninghamella elegans (C. elegans). Identification of metabolites was performed using liquid chromatography-high resolution-tandem mass spectrometry (LC-HR-MS/MS) with a quadrupole time-of-flight (QqToF) instrument. In total, 36 25D-NBOMe phase I metabolites, 26 25E-NBOMe phase I metabolites and 24 25N-NBOMe phase I metabolites were detected and identified in pHLM. Furthermore, 14 metabolites of 25D-NBOMe, 11 25E-NBOMe metabolites, and nine 25N-NBOMe metabolites could be found in C. elegans. The main biotransformation steps observed were oxidative deamination, oxidative N-dealkylation also in combination with hydroxylation, oxidative O-demethylation possibly combined with hydroxylation, oxidation of secondary alcohols, mono- and dihydroxylation, oxidation of primary alcohols, and carboxylation of primary alcohols. Additionally, oxidative di-O-demethylation for 25E-NBOMe and reduction of the aromatic nitro group and N-acetylation of the primary aromatic amine for 25N-NBOMe took place. The resulting 25N-NBOMe metabolites were unique for NBOMe compounds. For all NBOMes investigated, the corresponding 2,5-dimethoxyphenethylamine (2C-X) metabolite was detected. This study reports for the first time 25X-NBOMe N-oxide metabolites and hydroxylamine metabolites, which were identified for 25D-NBOMe and 25N-NBOMe and all three investigated NBOMes, respectively. C. elegans was capable of generating all main biotransformation steps observed in pHLM and might therefore be an interesting model for further studies of new psychoactive substances (NPS) metabolism.
Collapse
Affiliation(s)
- Katharina Elisabeth Grafinger
- Institute of Forensic Medicine, Forensic Toxicology and Chemistry, University of Bern, Switzerland.,Graduate School for Cellular and Biomedical Sciences, University of Bern, Switzerland
| | - Katja Stahl
- Department of Mechanical and Process Engineering, University of Applied Sciences Offenburg, Germany
| | - Andreas Wilke
- Department of Mechanical and Process Engineering, University of Applied Sciences Offenburg, Germany
| | - Stefan König
- Institute of Forensic Medicine, Forensic Toxicology and Chemistry, University of Bern, Switzerland
| | - Wolfgang Weinmann
- Institute of Forensic Medicine, Forensic Toxicology and Chemistry, University of Bern, Switzerland
| |
Collapse
|
22
|
Current applications of high-resolution mass spectrometry for the analysis of new psychoactive substances: a critical review. Anal Bioanal Chem 2017. [DOI: 10.1007/s00216-017-0441-4] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|