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药品制造中的质量源于设计:现状、挑战和未来展望的系统评价。

Quality by design in pharmaceutical manufacturing: A systematic review of current status, challenges and future perspectives.

机构信息

Bluepharma-Indústria Farmacêutica, S.A., São Martinho do Bispo, 3045-016 Coimbra, Portugal; Faculty of Pharmacy, University of Coimbra, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal.

Bluepharma-Indústria Farmacêutica, S.A., São Martinho do Bispo, 3045-016 Coimbra, Portugal.

出版信息

Eur J Pharm Biopharm. 2020 Feb;147:19-37. doi: 10.1016/j.ejpb.2019.12.007. Epub 2019 Dec 17.

Abstract

Quality by Design (QbD) was originated in the broad domain of Quality Management and was recently adapted and formalized in specific terms for assisting pharmaceutical companies efforts towards market and operational excellence. However, despite some impressive success stories, the pharmaceutical industry have not yet fully embraced QbD, particularly in routine commercial manufacturing (Rantanen and Khinast, 2015; Puñal Peces et al., 2016). In this review, we aim to analyse the current state of implementation of QbD methodologies and tools in the pharmaceutical industry, extracting patterns and trends and identifying gaps and opportunities that may be considered to improve QbD adoption. For this purpose, a critical analysis of 60 research papers was performed, whose contents were classified, compared and summarized at different abstraction levels. Our analysis reveals the following tools as the frequently adopted for conducting each activity: Risk Assessment (RA) - Ishikawa Diagram, Failure Mode and Effects Analysis (FMEA) and Risk Estimation Matrix (REM); Screening Design of Experiments (DoE) - 2-level Full and Fractional Factorial Designs; Optimisation DoE - Central Composite Design (CCD). Emerging trends include the growing interest in quantifying and managing the impact of raw materials' attributes variability on process and product, as well as the development of Retrospective QbD approaches (rQbD) in complement to standard QbD.

摘要

质量源于设计(QbD)起源于广泛的质量管理领域,最近已被制药公司采用并正式确定为特定术语,以协助其实现市场和运营卓越。然而,尽管有一些令人印象深刻的成功案例,制药行业尚未完全接受 QbD,特别是在常规商业制造中(Rantanen 和 Khinast,2015;Puñal Peces 等人,2016)。在这篇综述中,我们旨在分析当前在制药行业中实施 QbD 方法和工具的现状,提取模式和趋势,并确定可能被认为可以提高 QbD 采用率的差距和机会。为此,对 60 篇研究论文进行了批判性分析,其内容在不同的抽象层次上进行了分类、比较和总结。我们的分析揭示了以下工具作为执行每个活动时经常采用的工具:风险评估(RA)-石川图、失效模式和影响分析(FMEA)和风险估计矩阵(REM);筛选实验设计(DoE)-2 水平全因子和部分因子设计;优化 DoE-中心复合设计(CCD)。新兴趋势包括对量化和管理原材料属性变异性对工艺和产品的影响越来越感兴趣,以及开发回顾性 QbD 方法(rQbD)来补充标准 QbD。

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