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通过共享的二级质谱(MS2)谱库开发用于毛发分析的灵敏非靶向液相色谱-高分辨率质谱筛查方法:迈向新型精神活性物质早期检测的一步。

Development of a sensitive untargeted liquid chromatography-high resolution mass spectrometry screening devoted to hair analysis through a shared MS2 spectra database: A step toward early detection of new psychoactive substances.

作者信息

Fabresse Nicolas, Larabi Islam Amine, Stratton Tim, Mistrik Robert, Pfau Gregory, Lorin de la Grandmaison Geoffroy, Etting Isabelle, Grassin Delyle Stanislas, Alvarez Jean-Claude

机构信息

Plateforme de Spectrométrie de Masse MassSpecLab, INSERM UMR 1173, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin, Montigny le Bretonneux, France.

Laboratoire de Pharmacologie - Toxicologie, Centre Hospitalier Universitaire Raymond Poincaré, Garches, France.

出版信息

Drug Test Anal. 2019 May;11(5):697-708. doi: 10.1002/dta.2535. Epub 2018 Nov 25.

DOI:10.1002/dta.2535
PMID:30394697
Abstract

Untargeted liquid chromatography-high resolution mass spectrometry (LC-HRMS) techniques have become indispensable tools for systematic toxicological analysis. They allow the research of an almost unlimited number of drugs within a single analytical cycle, but shared mass spectra libraries are still missing to identify newly marketed compounds, along with defined analytical procedures. This article describes the optimization, validation, and application of an untargeted screening method devoted to hair analysis using data-dependent analysis (DDA) and a shared HRMS database. This method used an ultra-high performance liquid chromatography coupled to a benchtop Orbitrap. Raw MS data were processed with Compound Discoverer software coupled to the mzCloud™ library. Optimizations were performed on blank hair spiked with 19 analytes having different physical and chemical properties. To validate the effectiveness of a shared spectra database, 20 compounds spectra were added and then retrospectively screened. Sensitivity and reliability were evaluated on 317 compounds of interest in toxicology. The method was then applied to 11 hair samples. The matrix effect range by ion suppression/enhancement was 40%-110%. The method allows the detection of 284 among the 317 screened compounds, including 72 new psychoactive substances (NPS). Lower limit of identification (LLOI) and lower limit of detection (LLOD) were 1 to 1000 pg/mg and 1 to 500 pg/mg, respectively. The method was successfully applied to 11 clinical cases and 144 compounds were identified including 24 NPS including AKB48-5F for the first time in hair. We developed and validated an LC-HRMS untargeted screening of 284 compounds and successfully applied it to 11 real hair samples.

摘要

非靶向液相色谱-高分辨率质谱(LC-HRMS)技术已成为系统毒理学分析不可或缺的工具。它们能够在单个分析周期内对几乎无限数量的药物进行研究,但目前仍缺少用于识别新上市化合物的共享质谱库以及明确的分析程序。本文描述了一种使用数据依赖分析(DDA)和共享HRMS数据库进行毛发分析的非靶向筛查方法的优化、验证及应用。该方法采用超高效液相色谱与台式轨道阱质谱联用。原始质谱数据使用与mzCloud™库联用的Compound Discoverer软件进行处理。对添加了19种具有不同物理和化学性质分析物的空白毛发进行了优化。为验证共享光谱数据库的有效性,添加了20种化合物光谱,然后进行回顾性筛查。对毒理学中317种感兴趣的化合物评估了灵敏度和可靠性。然后将该方法应用于11个毛发样本。离子抑制/增强导致的基质效应范围为40%-110%。该方法能够检测出317种筛查化合物中的284种,包括72种新型精神活性物质(NPS)。鉴定下限(LLOI)和检测下限(LLOD)分别为1至1000 pg/mg和1至500 pg/mg。该方法成功应用于11例临床病例,鉴定出144种化合物,包括24种NPS,其中AKB48-5F首次在毛发中被鉴定。我们开发并验证了一种针对284种化合物的LC-HRMS非靶向筛查方法,并成功将其应用于11个真实毛发样本。

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