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Variographic analysis: A new methodology for quality assurance of pharmaceutical blending processes

机译:变异函数分析:药物混合过程质量保证的新方法

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Analytical methods for real time monitoring of pharmaceutical blending processes are thoroughly validated but not the sampling methods. Variographic analysis was investigated as a method to determine the sampling and analytical errors when the drug concentration of pharmaceutical powder blends is determined by near infrared spectroscopy. Variograms provide an estimate of the true process variance and the minimum possible error (MPE) defined as the sum of the total sampling error and the total analytical error under the specific sampling scenario. In this study, the MPE was 50-186 times greater for the 97.00 [%w/w] blends and 75-342 times higher for the 95.00 [%w/w] blends than the short-term precision of the analytical NIR method. This study shows that variographic analysis may be used along with concentration vs. time profiles to evaluate a blending process, and also to discriminate between the sources of sampling, analytical and process errors. (C) 2019 Elsevier Ltd. All rights reserved.
机译:用于药物混合过程实时监控的分析方法已得到充分验证,但没有采用抽样方法。当通过近红外光谱法测定药物粉末混合物的药物浓度时,采用变异函数分析法来确定采样和分析误差。变异图提供了真实过程方差和最小可能误差(MPE)的估计值,该误差定义为在特定采样情况下总采样误差和总分析误差的总和。在这项研究中,与NIR分析方法的短期精度相比,97.00 [%w / w]混合物的MPE高50-186倍,而95.00 [%w / w]混合物的MPE高75-342倍。这项研究表明,可以使用变异函数分析以及浓度与时间的关系曲线来评估混合过程,还可以区分采样,分析和过程误差的来源。 (C)2019 Elsevier Ltd.保留所有权利。

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