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Monitoring Internal Standard Response Difference between Known and Unknown Samples with LC-MS/MS Based Method for Detecting Matrix-Induced Systematic Error

机译:用基于LC-MS / MS的方法监测已知和未知样本之间的内部标准响应差异,用于检测矩阵诱导的系统误差

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1. The matrix-induced systematic error can not always be effectively detected by QC and ISR results during preclinical and clinical studies. 2. Monitoring IS variability, especially the IS response difference between known and unknown samples is necessary and the significant matrix difference between known and unknown samples can be effectively detected. 3. A selected IS may track an analyte very well in controlling random error such as induced during analytical process, but may not be able to correct matrix-induced systematical error. 4. Our results confirmed general opinion: the IS response variability data can not be used as criteria for accepting batch or rejecting batch, but is valuable for triggering investigation. 5. It will be a concern when an LC-MS/MS based method is lacking IS or shows significant retention difference between IS and analyte.
机译:在临床前和临床研究期间,QC和ISR不能总是可以有效地检测到矩阵诱导的系统误差。 2.监测是可变性,尤其是所知和未知样品之间的响应差异是必要的,并且可以有效地检测已知和未知样本之间的显着矩阵差异。 3.选择的是可以在控制随机误差之类的随机误差时追踪分析物,例如在分析过程中引起的随机误差,但可能无法纠正矩阵诱导的系统误差。 4.我们的结果证实了一般意见:IS响应可变性数据不能用作接受批次或拒绝批次的标准,但对于触发调查是有价值的。当缺乏LC-MS / MS的方法时,它将是一个问题,或者在AS和分析物之间显示出显着的保持差异。

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