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高通量液相色谱-真空差分离子迁移谱-质谱联用技术用于分析人尿液中滥用的同分异构药物。

High-throughput liquid chromatography-vacuum differential mobility spectrometry-mass spectrometry for the analysis of isomeric drugs of abuse in human urine.

作者信息

Cifuentes Girard Maria Fernanda, Knight Patrick, Hopfgartner Gérard

机构信息

Life Sciences Mass Spectrometry, Department of Inorganic and Analytical Chemistry, University of Geneva, Geneva 4, Switzerland.

Shimadzu Research Laboratory, Manchester, UK.

出版信息

Drug Test Anal. 2025 Jun;17(6):751-760. doi: 10.1002/dta.3778. Epub 2024 Jul 31.

DOI:10.1002/dta.3778
PMID:39081124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12151711/
Abstract

The use of differential mobility spectrometry at low pressure coupled to liquid chromatography-mass spectrometry (LC-vDMS-MS) was investigated for the analysis of 13 drugs of abuse (DoA) including the following: cocaine, ecgonine methyl ester, cocaethylene, benzoylecgonine, norcocaine, tramadol, isomeric pairs of metabolites; O-desmethyl-cis-tramadol and N-desmethyl-cis-tramadol, and cannabinoids: Δ-tetrahydrocannabinol, Δ-tetrahydrocannabidiol, 11-hydroxy-Δ-tetrahydrocannabinol, 11-nor-9carboxy-Δ-tetrahydrocannabinol, and 11-nor-9carboxy-Δ-tetrahydrocannabinol glucuronide. Different parameters were optimized for isomeric separation, such as LC mobile phase composition (20%-100% methanol acetonitrile and isopropanol, flow rate: 8-100 μL/min) and DMS separation voltage. Methanol and acetonitrile significantly affected the compensation voltage of the analytes and improved DMS separation. A short trap/elute LC-vDMS-SIM/MS screening method of 1 min was developed to quantify 11 drugs of abuse (except THC/CBD), in addition to a 4-min LC-vDMS-SIM/MS method to identify and quantify five cannabinoids including the isomers THC/CBD and three THC metabolites. THC is the principal psychoactive constituent of cannabis and is a controlled substance in comparison to its isomeric counterpart CBD; this highlights the importance and challenges to resolve these isomeric pairs by analytical techniques. The signal responses were linear over a concentration range of 0.005-10 μg/mL for the DoA and 1-1000 ng/mL for cannabinoids. The intraday and interday precision were better than 12.2% and accuracy better than 115%. Urine samples from subjects who tested positive for THC and/or cocaine during roadside drug testing were evaluated to assess the performance of the methods LC-vDMS-SIM/MS and LC-MRM/MS. Results show that the developed LC-vDMS-SIM/MS method presents similar performance to LC-MRM/MS with improved sample throughput.

摘要

研究了低压差分离子淌度谱联用液相色谱 - 质谱法(LC - vDMS - MS)用于分析13种滥用药物(DoA),包括:可卡因、芽子碱甲酯、古柯乙烯、苯甲酰芽子碱、去甲可卡因、曲马多、代谢物的异构体对;O - 去甲基 - 顺式曲马多和N - 去甲基 - 顺式曲马多,以及大麻素:Δ - 四氢大麻酚、Δ - 四氢大麻二酚、11 - 羟基 - Δ - 四氢大麻酚、11 - 去甲 - 9 - 羧基 - Δ - 四氢大麻酚,以及11 - 去甲 - 9 - 羧基 - Δ - 四氢大麻酚葡糖苷酸。针对异构体分离优化了不同参数,如液相色谱流动相组成(20% - 100%甲醇、乙腈和异丙醇,流速:8 - 100 μL/min)和DMS分离电压。甲醇和乙腈显著影响分析物的补偿电压并改善了DMS分离。开发了一种1分钟的短阱捕集/洗脱LC - vDMS - SIM/MS筛选方法来定量11种滥用药物(四氢大麻酚/大麻二酚除外),此外还开发了一种4分钟的LC - vDMS - SIM/MS方法来鉴定和定量包括异构体四氢大麻酚/大麻二酚及三种四氢大麻酚代谢物在内的五种大麻素。四氢大麻酚是大麻的主要精神活性成分,与其异构体大麻二酚相比是一种受控物质;这凸显了通过分析技术解析这些异构体对的重要性和挑战性。对于滥用药物,信号响应在0.005 - 10 μg/mL的浓度范围内呈线性,对于大麻素在1 - 1000 ng/mL的浓度范围内呈线性。日内和日间精密度优于12.2%,准确度优于115%。对路边药物检测中四氢大麻酚和/或可卡因检测呈阳性的受试者的尿液样本进行评估,以评估LC - vDMS - SIM/MS和LC - MRM/MS方法的性能。结果表明,所开发的LC - vDMS - SIM/MS方法与LC - MRM/MS具有相似的性能,且样品通量有所提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/dcdacb7946d1/DTA-17-751-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/7e1adf8dc70e/DTA-17-751-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/8943f2c2b667/DTA-17-751-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/cf55bc9c7395/DTA-17-751-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/0efb26ecea21/DTA-17-751-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/a52eabf107ef/DTA-17-751-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/dcdacb7946d1/DTA-17-751-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/7e1adf8dc70e/DTA-17-751-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/8943f2c2b667/DTA-17-751-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/cf55bc9c7395/DTA-17-751-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/0efb26ecea21/DTA-17-751-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/a52eabf107ef/DTA-17-751-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7b/12151711/dcdacb7946d1/DTA-17-751-g006.jpg

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