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评估辊压法制备的带状物孔隙率的六种测量技术。

An evaluation of six techniques for measuring porosity of ribbons produced by roller compaction.

机构信息

Department of pharmaceutics, College of pharmacy, University of Minnesota, 308 Harvard St. S.E. Minneapolis, MN 55455, USA.

Novartis Pharma AG, Novartis Campus,Basel, 4056, Switzerland.

出版信息

Int J Pharm. 2024 Dec 25;667(Pt A):124855. doi: 10.1016/j.ijpharm.2024.124855. Epub 2024 Oct 22.

DOI:10.1016/j.ijpharm.2024.124855
PMID:39442769
Abstract

Ribbon porosity is a critical parameter to monitor in the roller compaction process. In this study, six techniques for measuring the porosity of solid compacts, i.e., manually by caliper (Caliper), X-ray microtomography (µCT), off-line near-infrared spectroscopy (NIR), laser triangulation (Laser), mercury intrusion porosimetry (MIP), and GeoPyc, were compared using a set of rectangular ribblets of microcrystalline cellulose (MCC). These ribblets, which were compressed at 8-130 MPa on a compaction simulator, exhibited porosities over the range of 0.09 - 0.52. Subsequently, porosities of MCC ribbons made on a roller compactor at specific roll forces of 1.8 kN/cm and 8.8 kN/cm were measured. The Caliper method is convenient for samples with a simple shape but not suitable for real ribbons. The accuracy of GeoPyc measurement relies on accurate conversion factor (unit in cm/mm), sample shape and size, and sufficient sample volume percentage in the medium. The µCT data is more accurate at lower porosities (< 0.2), while the MIP data is more accurate at higher porosities (> 0.4). The Laser method has good accuracy and is more reproducible compared to other methods in the ribblets measurement. The NIR method is fast, which makes it suitable for in-line monitoring of changes in ribbon quality, but porosity quantification is sensitive to sample presentation, such as surface curvature and roughness. These insights could assist in the choice of the most appropriate method for monitoring ribbon porosity to guide the development and optimization of a roller compaction process for a given formulation.

摘要

带状孔隙率是辊压过程中需要监测的关键参数。本研究使用一套微晶纤维素(MCC)的矩形肋条,对比了六种测量固体压块孔隙率的技术,即卡尺(卡尺)、X 射线微断层扫描(µCT)、离线近红外光谱(NIR)、激光三角测量(Laser)、压汞法(MIP)和 GeoPyc。这些肋条在压缩模拟器上以 8-130 MPa 的压力压缩,其孔隙率在 0.09-0.52 范围内。随后,在特定的轧辊压力 1.8 kN/cm 和 8.8 kN/cm 下,使用辊式压片机测量 MCC 带状物的孔隙率。卡尺法适用于形状简单的样品,但不适合真实的带状物。GeoPyc 测量的准确性依赖于准确的转换因子(单位为 cm/mm)、样品形状和尺寸以及介质中足够的样品体积百分比。µCT 数据在较低的孔隙率(<0.2)下更准确,而 MIP 数据在较高的孔隙率(>0.4)下更准确。与肋条测量中的其他方法相比,激光法具有良好的准确性和可重复性。NIR 法速度快,非常适合带状物质量变化的在线监测,但孔隙率定量对样品呈现方式(如表面曲率和粗糙度)很敏感。这些见解可以帮助选择最适合监测带状物孔隙率的方法,以指导给定配方的辊压过程的开发和优化。

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