Suppr超能文献

无菌生产中的干预措施风险评估和管理。

Interventions Risk Evaluation and Management in Aseptic Manufacturing.

机构信息

ValSource, Inc., 918A Horseshoe Pike, Downingtown, PA 19335; and.

GxPFont Consulting Group, Margao, Goa-403601, India.

出版信息

PDA J Pharm Sci Technol. 2022 Nov-Dec;76(6):485-496. doi: 10.5731/pdajpst.2020.012245. Epub 2022 May 25.

Abstract

Interventions performed by personnel during an aseptic process can be a key source of microbiological contamination of sterile biopharmaceutical products, irrespective of the type of manufacturing system used. Understanding the relative risk of this source of contamination provides valuable information to help make decisions for the design, qualification, validation, operation, monitoring, and evaluation of the aseptic process. These decisions can be used to improve the aseptic process and provide assurance of the sterility of the products. To achieve these goals, an assessment of the contamination risk is needed. This risk assessment should be objective, accurate, and useful. This article presents an Intervention Risk Evaluation Model (IREM) philosophy and an objective, accurate, and useful method for intervention risk determination. The IREM uses a key word approach to identify, obtain, measure, and evaluate intervention risk factors. This article presents a general discussion of the method with the help of a case study to illustrate the development of the model, whereas subsequent parts would focus on application of this model with practical examples. This not only attempts to create objectivity of the entire process, but it develops awareness of the associated risks among shop floor operators, which can lead to a reduction of the overall risk level of the process and an improvement in the sterility assurance level.

摘要

在无菌过程中,人员执行的操作可能是无菌生物制药产品微生物污染的一个关键来源,而与所使用的制造系统的类型无关。了解此污染源的相对风险为无菌工艺的设计、确认、验证、运行、监测和评估提供了有价值的信息,有助于做出决策。这些决策可用于改进无菌工艺并确保产品的无菌性。为了实现这些目标,需要对污染风险进行评估。这种风险评估应该是客观的、准确的和有用的。本文提出了一种干预风险评估模型(IREM)的理念,以及一种客观、准确和有用的干预风险确定方法。IREM 使用关键字方法来识别、获取、测量和评估干预风险因素。本文通过案例研究对该方法进行了一般性讨论,说明了模型的开发过程,而后续部分将重点介绍使用实际示例应用该模型。这不仅试图使整个过程具有客观性,而且还能提高操作人员对相关风险的认识,从而降低工艺的整体风险水平并提高无菌保证水平。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验