首页> 美国卫生研究院文献>AAPS PharmSciTech >Quality by Design I: Application of Failure Mode Effect Analysis (FMEA) and Plackett–Burman Design of Experiments in the Identification of Main Factors in the Formulation and Process Design Space for Roller-Compacted Ciprofloxacin Hydrochloride Immediate-Release Tablets
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Quality by Design I: Application of Failure Mode Effect Analysis (FMEA) and Plackett–Burman Design of Experiments in the Identification of Main Factors in the Formulation and Process Design Space for Roller-Compacted Ciprofloxacin Hydrochloride Immediate-Release Tablets

机译:通过设计获得的质量I:失效模式效应分析(FMEA)和Plackett-Burman实验设计在确定盐酸罗布沙星速释片的配方和工艺设计空间中的主要因素时的应用

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摘要

As outlined in the ICH Q8(R2) guidance, identifying the critical quality attributes (CQA) is a crucial part of dosage form development; however, the number of possible formulation and processing factors that could influence the manufacturing of a pharmaceutical dosage form is enormous obviating formal study of all possible parameters and their interactions. Thus, the objective of this study is to examine how quality risk management can be used to prioritize the number of experiments needed to identify the CQA, while still maintaining an acceptable product risk profile. To conduct the study, immediate-release ciprofloxacin tablets manufactured via roller compaction were used as a prototype system. Granules were manufactured using an Alexanderwerk WP120 roller compactor and tablets were compressed on a Stokes B2 tablet press. In the early stages of development, prior knowledge was systematically incorporated into the risk assessment using failure mode and effect analysis (FMEA). The factors identified using FMEA were then followed by a quantitative assessed using a Plackett–Burman screening design. Results show that by using prior experience, literature data, and preformulation data the number of experiments could be reduced to an acceptable level, and the use of FMEA and screening designs such as the Plackett Burman can rationally guide the process of reducing the number experiments to a manageable level.
机译:正如ICH Q8(R2)指南中概述的那样,确定关键的质量属性(CQA)是剂型开发的关键部分。然而,可能影响药物剂型生产的可能的配方和加工因素的数量极大地避免了对所有可能参数及其相互作用的正式研究。因此,本研究的目的是研究如何使用质量风险管理来确定识别CQA所需的实验数量,同时仍保持可接受的产品风险状况。为了进行研究,将通过滚压法生产的速释环丙沙星片剂用作原型系统。使用Alexanderwerk WP120压路机制造颗粒,并在Stokes B2压片机上压片。在开发的早期阶段,使用故障模式和效果分析(FMEA)将先验知识系统地整合到风险评估中。然后,使用FMEA识别的因素随后使用Plackett-Burman筛选设计进行定量评估。结果表明,通过使用以前的经验,文献数据和制粒前的数据,可以将实验次数减少到可以接受的水平,并且使用FMEA和筛选设计(例如Plackett Burman)可以合理地指导将实验次数减少到可管理的水平。

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