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采用多种分析方法和多元分析相结合的药用辅料供应商高级资格认证。

Advanced qualification of pharmaceutical excipient suppliers by multiple analytics and multivariate analysis combined.

机构信息

Laboratory for Liquid Products, Merck Serono, Frankfurter Str. 250, 64293 Darmstadt, Germany; Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1049-001 Lisbon, Portugal.

Laboratory for Process Development, Merck Millipore, Frankfurter Str. 250, 64293 Darmstadt, Germany.

出版信息

Int J Pharm. 2015 Nov 10;495(1):447-458. doi: 10.1016/j.ijpharm.2015.08.098. Epub 2015 Sep 2.

Abstract

Pharmaceutical excipients have different functions within a drug formulation, consequently they can influence the manufacturability and/or performance of medicinal products. Therefore, critical to quality attributes should be kept constant. Sometimes it may be necessary to qualify a second supplier, but its product will not be completely equal to the first supplier product. To minimize risks of not detecting small non-similarities between suppliers and to detect lot-to-lot variability for each supplier, multivariate data analysis (MVA) can be used as a more powerful alternative to classical quality control that uses one-parameter-at-a-time monitoring. Such approach is capable of supporting the requirements of a new guideline by the European Parliament and Council (2015/C-95/02) demanding appropriate quality control strategies for excipients based on their criticality and supplier risks in ensuring quality, safety and function. This study compares calcium hydrogen phosphate from two suppliers. It can be assumed that both suppliers use different manufacturing processes. Therefore, possible chemical and physical differences were investigated by using Raman spectroscopy, laser diffraction and X-ray powder diffraction. Afterwards MVA was used to extract relevant information from each analytical technique. Both CaHPO4 could be discriminated by their supplier. The gained knowledge allowed to specify an enhanced strategy for second supplier qualification.

摘要

药用辅料在药物制剂中有不同的功能,因此会影响药品的可制造性和/或性能。因此,关键质量属性应保持恒定。有时可能需要对第二家供应商进行资格认证,但它的产品不会完全等同于第一家供应商的产品。为了最小化未能检测到供应商之间微小差异的风险,并检测到每个供应商的批间变异性,多变量数据分析(MVA)可以作为一种比使用逐个参数监测的经典质量控制更强大的替代方法。这种方法能够支持欧洲议会和理事会(2015/C-95/02)的新准则的要求,该准则要求基于辅料的关键性和供应商在确保质量、安全性和功能方面的风险,制定适当的辅料质量控制策略。本研究比较了来自两个供应商的磷酸氢钙。可以假设两个供应商使用不同的制造工艺。因此,通过使用拉曼光谱、激光衍射和 X 射线粉末衍射研究了可能的化学和物理差异。之后,使用 MVA 从每种分析技术中提取相关信息。可以通过供应商区分两种 CaHPO4。获得的知识允许为第二供应商的资格认证指定一个增强的策略。

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