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

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Cocaine profiling method retrospectively developed with nontargeted discovery of markers using liquid chromatography with time-of-flight mass spectrometry data. / Carby-Robinson, Daniel; Dalsgaard, Petur Weihe; Mollerup, Christian Brinch; Linnet, Kristian; Rasmussen, Brian Schou.

In: Drug Testing and Analysis, Vol. 14, No. 3, 2022, p. 462-473.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Carby-Robinson, D, Dalsgaard, PW, Mollerup, CB, Linnet, K & Rasmussen, BS 2022, 'Cocaine profiling method retrospectively developed with nontargeted discovery of markers using liquid chromatography with time-of-flight mass spectrometry data', Drug Testing and Analysis, vol. 14, no. 3, pp. 462-473. https://doi.org/10.1002/dta.3130

APA

Carby-Robinson, D., Dalsgaard, P. W., Mollerup, C. B., Linnet, K., & Rasmussen, B. S. (2022). Cocaine profiling method retrospectively developed with nontargeted discovery of markers using liquid chromatography with time-of-flight mass spectrometry data. Drug Testing and Analysis, 14(3), 462-473. https://doi.org/10.1002/dta.3130

Vancouver

Carby-Robinson D, Dalsgaard PW, Mollerup CB, Linnet K, Rasmussen BS. Cocaine profiling method retrospectively developed with nontargeted discovery of markers using liquid chromatography with time-of-flight mass spectrometry data. Drug Testing and Analysis. 2022;14(3):462-473. https://doi.org/10.1002/dta.3130

Author

Carby-Robinson, Daniel ; Dalsgaard, Petur Weihe ; Mollerup, Christian Brinch ; Linnet, Kristian ; Rasmussen, Brian Schou. / Cocaine profiling method retrospectively developed with nontargeted discovery of markers using liquid chromatography with time-of-flight mass spectrometry data. In: Drug Testing and Analysis. 2022 ; Vol. 14, No. 3. pp. 462-473.

Bibtex

@article{96d93f3527914514846abcd19abca86d,
title = "Cocaine profiling method retrospectively developed with nontargeted discovery of markers using liquid chromatography with time-of-flight mass spectrometry data",
abstract = "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.",
keywords = "chemometrics, cocaine profiling, high-resolution mass spectrometry, retrospective analysis, CROSS-BORDER PROJECT, STRATEGIC INTELLIGENCE, POLICE SEIZURES, ILLICIT, CLASSIFICATION, SWITZERLAND, IMPURITIES, HEROIN, FRANCE, DRUGS",
author = "Daniel Carby-Robinson and Dalsgaard, {Petur Weihe} and Mollerup, {Christian Brinch} and Kristian Linnet and Rasmussen, {Brian Schou}",
note = "Special Issue: Addressing the challenges in forensic drug chemistry II",
year = "2022",
doi = "10.1002/dta.3130",
language = "English",
volume = "14",
pages = "462--473",
journal = "Drug Testing and Analysis",
issn = "1942-7603",
publisher = "JohnWiley & Sons Ltd",
number = "3",

}

RIS

TY - JOUR

T1 - Cocaine profiling method retrospectively developed with nontargeted discovery of markers using liquid chromatography with time-of-flight mass spectrometry data

AU - Carby-Robinson, Daniel

AU - Dalsgaard, Petur Weihe

AU - Mollerup, Christian Brinch

AU - Linnet, Kristian

AU - Rasmussen, Brian Schou

N1 - Special Issue: Addressing the challenges in forensic drug chemistry II

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - chemometrics

KW - cocaine profiling

KW - high-resolution mass spectrometry

KW - retrospective analysis

KW - CROSS-BORDER PROJECT

KW - STRATEGIC INTELLIGENCE

KW - POLICE SEIZURES

KW - ILLICIT

KW - CLASSIFICATION

KW - SWITZERLAND

KW - IMPURITIES

KW - HEROIN

KW - FRANCE

KW - DRUGS

U2 - 10.1002/dta.3130

DO - 10.1002/dta.3130

M3 - Journal article

C2 - 34265168

VL - 14

SP - 462

EP - 473

JO - Drug Testing and Analysis

JF - Drug Testing and Analysis

SN - 1942-7603

IS - 3

ER -

ID: 279828496