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一步法提取和 LC-MS/MS 测定毛发中的 513 种精神活性物质、药物及其代谢物。

One-step extraction and determination of 513 psychoactive substances, drugs, and their metabolites from hair by LC-MS/MS.

机构信息

Institute of Forensic Genetics, Al. Mickiewicza 3/4, 85-071, Bydgoszcz, Poland.

Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University in Toruń, 7 Gagarin St., 87-100, Toruń, Poland.

出版信息

Arch Toxicol. 2022 Nov;96(11):2927-2933. doi: 10.1007/s00204-022-03343-w. Epub 2022 Aug 25.

Abstract

The emergence of new psychoactive substances on the market is a significant problem on a global scale. This type of substance in society is associated with many negative consequences, such as traffic accidents, accidents at work, rape, homicide, poisoning, or overdose deaths. The analysis of these substances in biological samples is very important for further legal action and saving lives. Therefore, laboratories face a tremendous challenge in tackling the evolving drug market. The paper describes the optimization of the analytical LC-MS/MS method to identify and determine 513 psychoactive substances in hair samples. A method of chromatographic separation was developed, and the working parameters of the mass spectrometer were selected for each analyte. The method has been validated, and the results are as follows: the limit of quantification of the developed method ranges from 0.025 to 1.25 ng/mg hair. The mean recovery of the tested analytes ranges from 80 to 120%. The achieved coefficient of variation in within-run precision ranged from 1.05 to 19.99%. The results achieved for BIAS are in the range of ± 20%.

摘要

新精神活性物质在市场上的出现是一个全球性的重大问题。这类物质在社会中与许多负面后果相关,例如交通事故、工作事故、强奸、杀人、中毒或用药过量死亡。对生物样本中这些物质的分析对于进一步的法律行动和拯救生命非常重要。因此,实验室在应对不断变化的毒品市场方面面临巨大挑战。本文描述了对分析 LC-MS/MS 方法的优化,以鉴定和确定头发样本中的 513 种精神活性物质。开发了一种色谱分离方法,并为每个分析物选择了质谱仪的工作参数。该方法已经过验证,结果如下:所开发方法的定量限范围为 0.025 至 1.25 ng/mg 头发。测试分析物的平均回收率范围为 80 至 120%。在运行内精密度中获得的变异系数范围为 1.05 至 19.99%。BIAS 的结果在 ± 20%的范围内。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/057c/9525419/51482c49c83d/204_2022_3343_Fig1a_HTML.jpg

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