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药物影响下驾驶:一种基于全血单平行监测的定量方法

Driving Under the Influence of Drugs: A Single Parallel Monitoring-Based Quantification Approach on Whole Blood.

作者信息

Joye Timothée, Rocher Katell, Déglon Julien, Sidibé Jonathan, Favrat Bernard, Augsburger Marc, Thomas Aurélien

机构信息

Forensic Toxicology and Chemistry Unit, CURML, Lausanne University Hospital, Geneva University Hospitals, Lausanne, Switzerland.

Faculty Unit of Toxicology, CURML, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.

出版信息

Front Chem. 2020 Aug 26;8:626. doi: 10.3389/fchem.2020.00626. eCollection 2020.

DOI:10.3389/fchem.2020.00626
PMID:33005598
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7480261/
Abstract

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.

摘要

在精神活性物质影响下驾驶是机动车碰撞事故的主要原因。在单一分析程序中识别和量化最常涉及酒驾案件的物质,可能是法医毒理学的一项重要资产。在本研究中,开发了一种高灵敏度和选择性的液相色谱(LC)方法,与轨道阱高分辨率质谱(HRMS)联用,用于使用100μL全血对药物影响下驾驶(DUID)情况下存在的主要药物进行定量。该程序涉及简单的样品制备,并受益于平行反应监测(PRM)带来的选择性,允许通过单次多分析物进样解决大多数DUID案件。该方法已针对与酒驾相关的主要精神活性物质类别(大麻素、可卡因及其代谢物、苯丙胺、阿片类药物和主要的苯二氮䓬类药物及Z类药物)的定量进行了全面验证。使用15种内标,对22种精神活性物质遵循了法国制药科学与技术协会(SFSTP)制定的验证指南。所有测试浓度的准确性在95.3%至107.6%之间。以重复性和中间精密度表示的精密度低于12%,而回收率(RE)和基质效应(ME)分别在49%至105%和 - 51%至3%之间。经过验证的程序提供了一种高效的方法,可借助PRM的选择性,同时且简单地对与酒驾相关的主要药物进行定量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/7480261/d9bc0c774707/fchem-08-00626-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/7480261/0909785536b4/fchem-08-00626-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/7480261/5623db32b9ac/fchem-08-00626-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/7480261/d9bc0c774707/fchem-08-00626-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/7480261/0909785536b4/fchem-08-00626-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/7480261/5623db32b9ac/fchem-08-00626-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/7480261/d9bc0c774707/fchem-08-00626-g0003.jpg

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