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Drugs of abuse screening in urine as part of a metabolite-based LC-MS ~n screening concept

机译:尿中滥用药物筛查作为基于代谢物的LC-MS〜n筛查概念的一部分

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摘要

Today, immunoassays and several chromatographic methods are in use for drug screening in clinical and forensic toxicology and in doping control. For further proof of the authors' new metabolite-based liquid chromatography-mass spectrometry (LC-MS~n) screening concept, the detectability of drugs of abuse and their metabolites using this screening approach was studied. As previously reported, the corresponding reference library was built up with MS~2 and MS~3 wideband spectra using a LXQ linear ion trap with electrospray ionization in the positive mode and full scan information-dependent acquisition. In addition to the parent drug spectra recorded in methanolic solution, metabolite spectra were identified after protein precipitation of urine from rats after administration of the corresponding drugs and added to the library. This consists now of data of over 900 parent compounds, including 87 drugs of abuse, and of over 2,300 metabolites and artifacts, among them 436 of drugs of abuse. Recovery, process efficiency, matrix effects, and limits of detection for selected drugs of abuse were determined using spiked human urine, and the resulting data have been acceptable. Using two automatic data evaluation tools (ToxID and SmileMS), the intake of 54 of the studied drugs of abuse could be confirmed in urine samples of drug users after protein precipitation and LC separation. The following drugs classes were covered: stimulants, designer drugs, hallucinogens, (synthetic) cannabinoids, opioids, and selected benzodiazepines. The presented LC-MS n method complements the well-established gas chromatography-mass spectroscopy procedure in the authors' laboratory.
机译:如今,免疫分析和几种色谱方法已用于临床和法医毒理学和兴奋剂控制中的药物筛选。为了进一步证明作者的新的基于代谢物的液相色谱-质谱(LC-MS〜n)筛选概念,研究了使用这种筛选方法对滥用药物及其代谢物的可检测性。如先前报道的,使用LXQ线性离子阱,以正模式电喷雾电离并依赖于全扫描信息采集,使用MS〜2和MS〜3宽带光谱建立了相应的参考库。除了在甲醇溶液中记录的母体药物光谱外,在施用相应药物后从大鼠尿液中蛋白质沉淀后,还鉴定了代谢物光谱,并将其添加到库中。现在,该数据包括900多种母体化合物的数据,其中包括87种滥用药物,以及2300多种代谢产物和人工制品,其中436种滥用药物。使用加标的人类尿液可确定所选滥用药物的回收率,工艺效率,基质效应和检出限,所得数据可接受。使用两个自动数据评估工具(ToxID和SmileMS),可以在蛋白质沉淀和LC分离后从吸毒者尿液样本中确认摄入了54种被研究的滥用药物。涵盖了以下药物类别:兴奋剂,品牌药物,致幻剂,(合成的)大麻素,阿片类药物和精选的苯二氮卓类药物。提出的LC-MS n方法是作者实验室中完善的气相色谱-质谱分析方法的补充。

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