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Driving Under the Influence of Drugs: A Single Parallel Monitoring-Based Quantification Approach on Whole Blood
Driving under the influence of psychoactive substances is a major cause of motor vehicle crashes. The identification and quantification of substances most frequently involved in impaired-driving cases in a single analytic procedure could be an important asset in forensic toxicology. In this study, a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480261/ https://www.ncbi.nlm.nih.gov/pubmed/33005598 http://dx.doi.org/10.3389/fchem.2020.00626 |
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author | Joye, Timothée Rocher, Katell Déglon, Julien Sidibé, Jonathan Favrat, Bernard Augsburger, Marc Thomas, Aurélien |
author_facet | Joye, Timothée Rocher, Katell Déglon, Julien Sidibé, Jonathan Favrat, Bernard Augsburger, Marc Thomas, Aurélien |
author_sort | Joye, Timothée |
collection | PubMed |
description | Driving under the influence of psychoactive substances is a major cause of motor vehicle crashes. The identification and quantification of substances most frequently involved in impaired-driving cases in a single analytic procedure could be an important asset in forensic toxicology. In this study, a highly sensitive and selective liquid chromatography (LC) approach hyphenated with Orbitrap high-resolution mass spectrometry (HRMS) was developed for the quantification of the main drugs present in the context of driving under the influence of drugs (DUID) using 100 μL of whole blood. This procedure involves a simple sample preparation and benefit from the selectivity brought by parallel reaction monitoring (PRM) allowing to solve most DUID cases using a single multi-analyte injection. The method was fully validated for the quantification of the major classes of psychoactive substances associated with impaired-driving (cannabinoids, cocaine and its metabolites, amphetamines, opiates and opioids, and the major benzodiazepines and z-drugs). The validation guidelines set by the “Société Française des Sciences et des Techniques Pharmaceutiques” (SFSTP) were respected for 22 psychoactive substances using 15 internal standards. Trueness was measured to be between 95.3 and 107.6% for all the tested concentrations. Precision represented by repeatability and intermediate precision was lower than 12% while recovery (RE) and matrix effect (ME) ranged from 49 to 105% and from −51 to 3%, respectively. The validated procedure provides an efficient approach for the simultaneous and simple quantification of the major drugs associated with impaired driving benefiting from the selectivity of PRM. |
format | Online Article Text |
id | pubmed-7480261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74802612020-09-30 Driving Under the Influence of Drugs: A Single Parallel Monitoring-Based Quantification Approach on Whole Blood Joye, Timothée Rocher, Katell Déglon, Julien Sidibé, Jonathan Favrat, Bernard Augsburger, Marc Thomas, Aurélien Front Chem Chemistry Driving under the influence of psychoactive substances is a major cause of motor vehicle crashes. The identification and quantification of substances most frequently involved in impaired-driving cases in a single analytic procedure could be an important asset in forensic toxicology. In this study, a highly sensitive and selective liquid chromatography (LC) approach hyphenated with Orbitrap high-resolution mass spectrometry (HRMS) was developed for the quantification of the main drugs present in the context of driving under the influence of drugs (DUID) using 100 μL of whole blood. This procedure involves a simple sample preparation and benefit from the selectivity brought by parallel reaction monitoring (PRM) allowing to solve most DUID cases using a single multi-analyte injection. The method was fully validated for the quantification of the major classes of psychoactive substances associated with impaired-driving (cannabinoids, cocaine and its metabolites, amphetamines, opiates and opioids, and the major benzodiazepines and z-drugs). The validation guidelines set by the “Société Française des Sciences et des Techniques Pharmaceutiques” (SFSTP) were respected for 22 psychoactive substances using 15 internal standards. Trueness was measured to be between 95.3 and 107.6% for all the tested concentrations. Precision represented by repeatability and intermediate precision was lower than 12% while recovery (RE) and matrix effect (ME) ranged from 49 to 105% and from −51 to 3%, respectively. The validated procedure provides an efficient approach for the simultaneous and simple quantification of the major drugs associated with impaired driving benefiting from the selectivity of PRM. Frontiers Media S.A. 2020-08-26 /pmc/articles/PMC7480261/ /pubmed/33005598 http://dx.doi.org/10.3389/fchem.2020.00626 Text en Copyright © 2020 Joye, Rocher, Déglon, Sidibé, Favrat, Augsburger and Thomas. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Joye, Timothée Rocher, Katell Déglon, Julien Sidibé, Jonathan Favrat, Bernard Augsburger, Marc Thomas, Aurélien Driving Under the Influence of Drugs: A Single Parallel Monitoring-Based Quantification Approach on Whole Blood |
title | Driving Under the Influence of Drugs: A Single Parallel Monitoring-Based Quantification Approach on Whole Blood |
title_full | Driving Under the Influence of Drugs: A Single Parallel Monitoring-Based Quantification Approach on Whole Blood |
title_fullStr | Driving Under the Influence of Drugs: A Single Parallel Monitoring-Based Quantification Approach on Whole Blood |
title_full_unstemmed | Driving Under the Influence of Drugs: A Single Parallel Monitoring-Based Quantification Approach on Whole Blood |
title_short | Driving Under the Influence of Drugs: A Single Parallel Monitoring-Based Quantification Approach on Whole Blood |
title_sort | driving under the influence of drugs: a single parallel monitoring-based quantification approach on whole blood |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480261/ https://www.ncbi.nlm.nih.gov/pubmed/33005598 http://dx.doi.org/10.3389/fchem.2020.00626 |
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