注射药品原包装成分可见颗粒负荷分析方法的建立与确定。

Robin Wagner, Peter Masatani, Dana Grace, Gianpiero Torraca, Stephanie Moore, David Semin
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引用次数: 0

摘要

在生物制药行业,在小瓶或注射器中观察到单个颗粒可能导致整个批次的药品召回。美国药典和描述光遮挡方法和颗粒收集(膜过滤),随后用光学显微镜对填充的药品进行颗粒计数。然而,没有相应的药典方法来测定未填充的初级包装成分或其包装材料(桶、巢、袋等)的颗粒水平。本文描述了一种准确评估初级容器和相应密闭容器中颗粒数量的定量方法。作为一种显微方法,尺寸范围可以由用户设定,仅受显微镜光学性质和分析时间的限制。颗粒负荷是直接影响产品安全性的关键质量属性。应用标准化的方法来比较工艺变化对颗粒负荷的影响,可以帮助制造商改进其工艺,以最大限度地减少颗粒。本文描述的是开发物理漂洗方法的关键参数和随后的鉴定结果,以测量非硅化和硅化初级包装系统的可见颗粒负荷。
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Development and Qualification of Visible Particle Load Analysis Methods for Injectable Drug Product Primary Packaging Components.

In the biopharmaceutical industry, the observation of a single particle in a vial or syringe may result in entire lots of drug product recalls. U.S. Pharmacopeia <787> and <788> describe light obscuration methods and particle collection (membrane filtration) followed by light microscopy for particle counting of filled drug products. However, there are no corresponding pharmacopeial methods for determining the particle levels of unfilled primary packaging components or their packaging materials (tubs, nests, bags, etc.). This article describes a quantification method to accurately assess the number of particles in primary containers and corresponding closures. As a microscopic method, the size ranges can be set by the user and are limited only by the optical properties of the microscope and analysis time. Particle load is a critical quality attribute that has a direct impact on product safety. Applying a standardized method to compare the effect of process changes on particle load can aid manufacturers in refining their processes to minimize particulates. Described herein are the critical parameters to develop physical rinse methods and the subsequent qualification results to measure the visible particle load of nonsiliconized and siliconized primary packaging systems.

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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
34
期刊最新文献
A Commentary on 'Understanding the non-equivalency of bio-fluorescent particle counts versus the colony forming unit'. Identification and Root Cause Analysis of the Visible Particles Commonly Encountered in the Biopharmaceutical Industry. A Strategic Guide to Improve and De-Risk Vaccine Development: CEPI's CMC Framework. A Review of Artificial Intelligence and Machine Learning in Product Life Cycle Management. Impact of Dimensional Variability of Primary Packaging Materials on the Break-Loose and Gliding Forces of Prefilled Syringes.
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