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HighResNPS.com:一个用于新型精神活性物质可疑物和非靶向筛查的在线众包 HR-MS 数据库。

HighResNPS.com: An Online Crowd-Sourced HR-MS Database for Suspect and Non-targeted Screening of New Psychoactive Substances.

机构信息

Section of Forensic Chemistry, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Frederik V's vej 11, Copenhagen Ø, Denmark.

Section for Forensic Chemistry, Department of Forensic Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus N, Denmark.

出版信息

J Anal Toxicol. 2019 Aug 23;43(7):520-527. doi: 10.1093/jat/bkz030.

Abstract

The number of new psychoactive substances (NPS) is constantly increasing. However, although the number might be large, most NPS have a low prevalence of use, so keeping screening libraries updated with the relevant analytical targets becomes a challenge. One way to ensure sufficient screening coverage is to use shared high resolution-mass spectrometry (HR-MS) databases, such as HighResNPS.com: a free, online, spreadsheet-format, crowd-sourced HR-MS database for NPS screening. The aims of this study were (i) to present the database to the scientific community and (ii) to verify that the HighResNPS database can be utilized in suspect screening workflows for LC-HR-MS instruments and software from four different instrument vendors. A sample was spiked with 10 NPS, and participating laboratories then analyzed the sample with their respective HR-MS vendor platforms and the HighResNPS database. The HighResNPS data were obtained via a spreadsheet converted to fit the import specifications of the different vendor platforms. Suspect screening was performed using LC-HR-MS vendor platforms from Thermo Fisher, Waters, Bruker and Agilent. All 10 NPS were identified in at least three workflows used for the four different vendor platforms. Multiple users have submitted data to HighResNPS for the same NPS, which resulted in multiple true-positive identifications for these NPS. Suspect screening with LC-HR-MS can be based on diagnostic fragment ions reported by users of different vendor platforms and can support NPS identification in biological samples and/or seizure analyses when no reference standard is available in-house. The present work clearly demonstrates that HighResNPS data is compatible with instruments and screening software from at least four different vendor platforms. The database can thus serve as a useful add-on in LC-HR-MS screening workflows.

摘要

新精神活性物质(NPS)的数量不断增加。然而,尽管数量可能很大,但大多数 NPS 的使用率都很低,因此保持筛选库与相关分析目标同步更新成为一项挑战。确保充分筛选覆盖的一种方法是使用共享高分辨率质谱(HR-MS)数据库,例如 HighResNPS.com:这是一个免费的、在线的、电子表格格式的、众包的 NPS 筛选 HR-MS 数据库。本研究的目的是(i)向科学界介绍该数据库,(ii)验证 HighResNPS 数据库可用于来自四个不同仪器供应商的 LC-HR-MS 仪器和软件的可疑筛选工作流程。用 10 种 NPS 对样品进行加标,然后由参与的实验室使用各自的 HR-MS 供应商平台和 HighResNPS 数据库对样品进行分析。HighResNPS 数据是通过转换为适合不同供应商平台导入规格的电子表格获得的。可疑筛选使用来自 Thermo Fisher、Waters、Bruker 和 Agilent 的 LC-HR-MS 供应商平台进行。在用于四个不同供应商平台的四个工作流程中,至少有三个工作流程可以识别出所有 10 种 NPS。多个用户已经将数据提交给 HighResNPS 用于相同的 NPS,这导致这些 NPS 的多个真实阳性鉴定。当内部没有参考标准时,基于不同供应商平台用户报告的诊断碎片离子,LC-HR-MS 可以进行可疑筛选,并支持生物样品和/或扣押分析中的 NPS 鉴定。本工作清楚地表明,HighResNPS 数据与至少四个不同供应商平台的仪器和筛选软件兼容。因此,该数据库可以作为 LC-HR-MS 筛选工作流程的有用附加组件。

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