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首页> 外文期刊>Drug development and industrial pharmacy >Applying the methodology of Design of Experiments to stability studies: a Partial Least Squares approach for evaluation of drug stability
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Applying the methodology of Design of Experiments to stability studies: a Partial Least Squares approach for evaluation of drug stability

机译:应用实验设计的方法论稳定性研究:评估药物稳定性的偏最小二乘法

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摘要

The aim of the present research is to show that the methodology of Design of Experiments can be applied to stability data evaluation, as they can be seen as multi-factor and multi-level experimental designs. Linear regression analysis is usually an approach for analyzing stability data, but multivariate statistical methods could also be used to assess drug stability during the development phase. Data from a stability study for a pharmaceutical product with hydrochlorothiazide (HCTZ) as an unstable drug substance was used as a case example in this paper. The design space of the stability study was modeled using Umetrics MODDE 10.1 software. We showed that a Partial Least Squares model could be used for a multi-dimensional presentation of all data generated in a stability study and for determination of the relationship among factors that influence drug stability. It might also be used for stability predictions and potentially for the optimization of the extent of stability testing needed to determine shelf life and storage conditions, which would be time and cost-effective for the pharmaceutical industry.
机译:本研究的目的是表明,实验设计的方法可以应用于稳定性数据评估,因为它们可以被视为多因素和多级实验设计。线性回归分析通常是分析稳定性数据的方法,但多变量统计方法也可用于评估在发育阶段期间的药物稳定性。用氢氯噻嗪(HCTZ)作为不稳定药物的药物稳定性研究的数据用作本文的情况实例。使用UMetrics Modde 10.1软件建模稳定性研究的设计空间。我们表明,局部最小二乘模型可用于在稳定性研究中产生的所有数据的多维呈现,并用于确定影响药物稳定性的因素之间的关系。它还可以用于稳定性预测,并且可能用于优化确定保质期和储存条件所需的稳定性测试的程度,这对于制药行业来说是时间和成本效益。

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