首页> 外文会议>American Society for Mass Spectrometry Conference on Mass Spectrometry and Allied Topics >APPLICATION OF MULTIVARIATE ANALYSIS for DETERMINING METABOLIC PROFILES of DRUGS: A CASE STUDY USING NEFAZODONE
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APPLICATION OF MULTIVARIATE ANALYSIS for DETERMINING METABOLIC PROFILES of DRUGS: A CASE STUDY USING NEFAZODONE

机译:多变量分析确定药物代谢谱的应用 - 以奈基酮为例

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A simple and rapid protocol of two injections per group of samples is needed to: 1) generate the MS/retention-time data pair for PCA analysis. 2) generate the EMS/EPI data for structural identification. Multiple injections per group revealed good reproducibility between control and dosed sample sets (see MarkerView chromatograms). Compared to conventional methods of data generation and analysis (numerous injections for precursor &/or product ion scans), little manual intervention is needed (post acquisition) to identify metabolites from the PCA and corresponding MS/MS spectra. Half of the metabolites identified with the PCA method resulted from cleavage around nefazodone's piperidine moiety. Unlike predictive metabolite software (commercially available) that is not readily able to predict metabolites resulting from enzymatic cleavage, the PCA approach easily identifies these metabolites with no prior knowledge of the structure or metabolic processes.
机译:每组样本的两个注射的简单且快速协议是:1)为PCA分析生成MS /保留时间数据对。 2)生成用于结构识别的EMS / EPI数据。每组多次注射显示控制和给药样品集之间的良好可重复性(参见Markerview色谱图)。与传统的数据生成和分析方法相比(对前体&/或产物离子扫描的许多注射),需要少需要手动干预(后检测)以识别来自PCA和相应的MS / MS光谱的代谢物。用PCA方法鉴定的一半代谢物由Nefazodone的哌啶部分周围的切割产生。与预测性代谢物软件(商业上可获得的)不容易能够预测由酶切割引起的代谢物,PCA方法容易识别这些代谢物,没有明确的结构或代谢过程。

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