Suppr超能文献

探究在药物化合物湿磨珠过程中,材料的体积杨氏模量与磨碎效率之间的关系。

Exploring the relationship between bulk Young's Modulus of materials and milling efficiency during wet bead milling of pharmaceutical compounds.

机构信息

Drug Product Development, Medicine Development & Supply, GSK R&D, PA, USA.

Drug Product Development, Medicine Development & Supply, GSK R&D, PA, USA.

出版信息

Int J Pharm. 2024 Jul 20;660:124365. doi: 10.1016/j.ijpharm.2024.124365. Epub 2024 Jun 21.

Abstract

Wet bead milling (WBM) is one of the main approaches for manufacturing long acting injectable (LAI) suspensions, wherein the particle size of an Active Pharmaceutical Ingredient (API) is reduced in a liquid vehicle via grinding. A common challenge observed during WBM is long milling time to achieve target particle size, resulting in poor milling efficiency. The objective of this work was to identify potential API attributes predictive of milling efficiency during WBM. In this study, physical and mechanical properties of nine APIs were characterized. Formulations with these APIs were manufactured using WBM. Bulk Young's Modulus was identified to have a significant influence on the rate of particle attrition. The rank order of Young's Moduli of the APIs was consistent with that of milling efficiency, estimated by an empirical function defined in this study called Milling Resistance (ϕ), representing the holistic impact of milling time, tip speed, bead loading, and batch to chamber volume ratio. The identification of such intrinsic material properties, which provide an early evaluation of potential manufacturing risks, is beneficial to product development, as these assessments can be performed with limited quantities of materials and help identify and design out scale-up challenges.

摘要

湿磨法(Wet bead milling,WBM)是一种主要的长效注射悬浮剂(LAI)制造方法,通过在液体载体中研磨来减小活性药物成分(API)的粒径。在 WBM 过程中观察到的一个常见挑战是达到目标粒径所需的长磨时间,导致研磨效率低下。本工作的目的是确定潜在的 API 属性,以预测 WBM 过程中的研磨效率。在这项研究中,对九种 API 的物理和机械性能进行了表征。使用 WBM 制造了含有这些 API 的制剂。体杨氏模量被确定对颗粒磨损率有显著影响。API 的杨氏模量的等级顺序与通过本研究中定义的称为研磨阻力(ϕ)的经验函数估计的研磨效率一致,该函数代表了研磨时间、尖端速度、磨珠装载量和批次到腔室体积比的整体影响。此类内在材料特性的识别提供了对潜在制造风险的早期评估,这对产品开发有益,因为这些评估可以用有限数量的材料进行,并有助于识别和设计放大挑战。

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