首页> 美国卫生研究院文献>Drug Metabolism and Disposition >Small Molecule Quantification by Liquid Chromatography-Mass Spectrometry for Metabolites of Drugs and Drug Candidates
【2h】

Small Molecule Quantification by Liquid Chromatography-Mass Spectrometry for Metabolites of Drugs and Drug Candidates

机译:液相色谱-质谱法对药物和候选药物的代谢产物进行小分子定量分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Identification and quantification of the metabolites of drugs and drug candidates are routinely performed using liquid chromatography-mass spectrometry (LC-MS). The best practice is to generate a standard curve with the metabolite versus the internal standard. However, to avoid the difficulties in metabolite synthesis, standard curves are sometimes prepared using the substrate, assuming that the signal for substrate and the metabolite will be equivalent. We have tested the errors associated with this assumption using a series of very similar compounds that undergo common metabolic reactions using both conventional flow electrospray ionization LC-MS and low-flow captive spray ionization (CSI) LC-MS. The differences in standard curves for four different types of transformations (O-demethylation, N-demethylation, aromatic hydroxylation, and benzylic hydroxylation) are presented. The results demonstrate that the signals of the substrates compared with those of the metabolites are statistically different in 18 of the 20 substrate-metabolite combinations for both methods. The ratio of the slopes of the standard curves varied up to 4-fold but was slightly less for the CSI method.
机译:药物和候选药物的代谢产物的鉴定和定量通常使用液相色谱-质谱(LC-MS)进行。最佳做法是生成代谢物与内标的标准曲线。但是,为了避免代谢物合成的困难,有时会使用底物制备标准曲线,假设底物和代谢物的信号相同。我们使用一系列非常相似的化合物(使用常规流电喷雾电离LC-MS和低流俘获喷雾电离(CSI)LC-MS)进行了常见的代谢反应,测试了与该假设相关的错误。给出了四种不同类型的转化(O-脱甲基,N-脱甲基,芳族羟基化和苄基羟基化)的标准曲线差异。结果表明,两种方法在20种底物-代谢物组合中的18种中,底物信号与代谢物信号相比在统计学上均不同。标准曲线的斜率之比最多变化4倍,但对于CSI方法而言则略小。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号