de Boer Theo, Wieling Jaap
QPS Netherlands, Bioanalysis & Drug Metabolism, Petrus Campersingel 123, Groningen, The Netherlands.
Bioanalysis. 2011 May;3(9):983-92. doi: 10.4155/bio.11.36.
It is commonly acknowledged that random and systematic analytical errors contribute to poor data quality, and moreover, to imprecise and inaccurate pharmacokinetic parameters. To investigate the random errors in GLP bioanalysis, common ground has been found in today's bioanalysis to assess the reproducibility of the method by reanalyzing part of the incurred samples. The undesired systematic errors in bioanalysis affecting the trueness of the method and leading to inaccurate data remain relatively unattended so far. In order to obtain both precise and accurate data it is suggested in this paper to apply standard addition experiments to calculate the relative systematic errors as an estimate for the incurred sample accuracy. This approach, which can be seen as an important extension to current guidelines in GLP bioanalysis, is illustrated by assessing the accuracy of the bioanalytical results for a bioequivalence study for alendronate.
人们普遍认为,随机分析误差和系统分析误差会导致数据质量不佳,进而导致药代动力学参数不精确和不准确。为了研究GLP生物分析中的随机误差,目前在生物分析中已达成共识,即通过重新分析部分实际样品来评估方法的重现性。到目前为止,生物分析中影响方法真实性并导致数据不准确的不良系统误差仍相对未得到关注。为了获得精确且准确的数据,本文建议应用标准加入实验来计算相对系统误差,作为对实际样品准确性的估计。这种方法可被视为对GLP生物分析现行指南的重要扩展,通过评估阿仑膦酸钠生物等效性研究的生物分析结果的准确性进行了说明。