Suppr超能文献

正离子液相色谱-串联质谱中有毒相关药物的碎片化。

Fragmentation of toxicologically relevant drugs in positive-ion liquid chromatography-tandem mass spectrometry.

机构信息

hyphen MassSpec, Leiden, The Netherlands.

出版信息

Mass Spectrom Rev. 2011 Jul-Aug;30(4):626-63. doi: 10.1002/mas.20332. Epub 2011 Feb 3.

Abstract

The identification of drugs and related compounds by LC-MS-MS is an important analytical challenge in several application areas, including clinical and forensic toxicology, doping control analysis, and environmental analysis. Although target-compound based analytical strategies are most frequently applied, at some point the information content of the MS-MS spectra becomes relevant. In this article, the positive-ion MS-MS spectra of a wide variety of drugs and related substances are discussed. Starting point was an MS-MS mass spectral library of toxicologically relevant compounds, available on the internet. The positive-ion MS-MS spectra of ∼570 compounds were interpreted by chemical and therapeutic class, thus involving a wide variety of drug compound classes, such benzodiazepines, beta-blockers, angiotensin-converting enzyme inhibitors, phenothiazines, dihydropyridine calcium channel blockers, diuretics, local anesthetics, vasodilators, as well as various subclasses of anti-diabetic, antidepressant, analgesic, and antihistaminic drugs. In addition, the scientific literature was searched for available MS-MS data of these compound classes and the interpretation thereof. The results of this elaborate study are presented in this article. For each individual compound class, the emphasis is on class-specific fragmentation, as discussing fragmentation of all individual compounds would take far too much space. The recognition of class-specific fragmentation may be quite informative in determining the compound class of a specific unknown, which may further help in the identification. In addition, knowledge on (class-specific) fragmentation may further help in the optimization of the selectivity in targeted analytical approaches of compounds of one particular class.

摘要

LC-MS-MS 鉴定药物和相关化合物是包括临床毒理学、法医毒物学、兴奋剂控制分析和环境分析在内的多个应用领域中的一项重要分析挑战。尽管基于目标化合物的分析策略是最常用的,但在某些时候,MS-MS 光谱的信息含量变得相关。在本文中,讨论了广泛的药物和相关物质的正离子 MS-MS 光谱。起点是互联网上可用的毒理学相关化合物的 MS-MS 质谱谱库。通过化学和治疗类别解释了约 570 种化合物的正离子 MS-MS 光谱,从而涉及到广泛的药物化合物类别,如苯并二氮䓬类、β-受体阻滞剂、血管紧张素转换酶抑制剂、吩噻嗪类、二氢吡啶钙通道阻滞剂、利尿剂、局部麻醉剂、血管扩张剂,以及各种亚类的抗糖尿病、抗抑郁药、镇痛药和抗组胺药。此外,还在科学文献中搜索了这些化合物类别的可用 MS-MS 数据及其解释。本文介绍了这项精心研究的结果。对于每个单独的化合物类别,重点是特定于类别的碎裂,因为讨论所有单个化合物的碎裂将占用太多空间。识别特定于类别的碎裂可能在确定特定未知化合物的类别方面非常有信息,这可能进一步有助于鉴定。此外,关于(特定于类别的)碎裂的知识可能有助于优化针对特定化合物类别的靶向分析方法的选择性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验