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首页> 外文期刊>Journal of Analytical Toxicology >HighResNPS.com: An Online Crowd-Sourced HR-MS Database for Suspect and Non-targeted Screening of New Psychoactive Substances
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HighResNPS.com: An Online Crowd-Sourced HR-MS Database for Suspect and Non-targeted Screening of New Psychoactive Substances

机译:highresnps.com:用于嫌疑人和非针对性筛查新精神活性物质的在线人群资源数据库

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摘要

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 LCHR-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.
机译:新的精神活性物质(NPS)的数量不断增加。然而,尽管数量可能很大,但大多数NPS的使用流行率低,因此保持筛选库与相关的分析目标更新成为挑战。一种方法来确保足够的筛选覆盖范围是使用共享高分辨率 - 质谱(HR-MS)数据库,例如Highresnps.com:免费,在线,电子表格格式,用于NPS筛选的人群源HR-MS数据库。本研究的目的是(i)将数据库展示给科学界和(ii),以验证Highresnps数据库是否可疑来自四个不同仪器供应商的LCHR-MS仪器和软件的可疑筛选工作流程。将样品掺入10个NPS,然后参与实验室与其各自的HR-MS供应商平台和HighresnPS数据库分析了样本。通过转换的电子表格获得高级数据以适合不同供应商平台的导入规格。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。所有10个NPS都在用于四个不同供应商平台的至少三个工作流程中识别。多个用户已将数据提交给HighResnps的同一NPS,导致这些NPS的多个真正的识别。怀疑使用LC-HR-MS进行筛选可以基于不同供应商平台的用户报告的诊断片段离子,并且当没有在内部没有参考标准时,可以支持生物样品和/或癫痫发作分析中的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,数据库可以用作LC-HR-MS筛选工作流程中的有用附件。

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