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Do placebo based validation standards mimic real batch products behaviour? Case studies.

机译:基于安慰剂的验证标准是否模仿了真实批次产品的行为?实例探究。

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摘要

Analytical methods validation is a mandatory step to evaluate the ability of developed methods to provide accurate results for their routine application. Validation usually involves validation standards or quality control samples that are prepared in placebo or reconstituted matrix made of a mixture of all the ingredients composing the drug product except the active substance or the analyte under investigation. However, one of the main concerns that can be made with this approach is that it may lack an important source of variability that come from the manufacturing process. The question that remains at the end of the validation step is about the transferability of the quantitative performance from validation standards to real authentic drug product samples. In this work, this topic is investigated through three case studies. Three analytical methods were validated using the commonly spiked placebo validation standards at several concentration levels as well as using samples coming from authentic batch samples (tablets and syrups). The results showed that, depending on the type of response function used as calibration curve, there were various degrees of differences in the results accuracy obtained with the two types of samples. Nonetheless the use of spiked placebo validation standards was showed to mimic relatively well the quantitative behaviour of the analytical methods with authentic batch samples. Adding these authentic batch samples into the validation design may help the analyst to select and confirm the most fit for purpose calibration curve and thus increase the accuracy and reliability of the results generated by the method in routine application.
机译:分析方法验证是评估已开发方法为其常规应用提供准确结果的能力的必要步骤。验证通常涉及在安慰剂或复溶基质中制备的验证标准或质量控制样品,该基质由构成药物产品的所有成分(活性成分或研究对象除外)的混合物制成。但是,这种方法可能引起的主要问题之一是,它可能缺少来自制造过程的重要可变性来源。验证步骤结束时仍然存在的问题是定量性能从验证标准到真实的药品样品的可转移性。在这项工作中,将通过三个案例研究对该主题进行研究。使用常用掺入的安慰剂验证标准品在几个浓度水平以及使用来自真实批次样品(片剂和糖浆)的样品验证了三种分析方法。结果表明,根据用作校正曲线的响应函数的类型,使用两种类型的样品获得的结果精度存在不同程度的差异。但是,已证明使用加标的安慰剂验证标准品可以较好地模拟具有真实批次样品的分析方法的定量行为。将这些真实的批次样品添加到验证设计中,可以帮助分析人员选择和确认最适合目的的校准曲线,从而提高该方法在常规应用中产生的结果的准确性和可靠性。

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