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Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
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开发基于图像的方法来描述平板电脑微结构及其与API释放速率的相关性.

Simona Römerová1, Ondřej Dammer2, Petr Zámostný3

  • 1Department of Organic Technology, University of Chemistry and Technology Prague, Technická 5, 166 28, Prague 6, Czech Republic. simona.romerova@vscht.cz.

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概括

一种新的基于图像的方法描述了药物片的微观结构. 这种方法将微观结构参数与药物释放率相关联,有助于预测固体剂型的片剂性能.

关键词:
在 SEM 图像分析中,图像分析是最重要的.在USP4解散过程中,它具有可变形的可变形性.通过溶解进行流通.药片微观结构 药片微观结构

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科学领域:

  • 制药科学 制药科学
  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.

背景情况:

  • 包括药物释放在内的药片性能取决于配方特性和压缩参数.
  • 仅从输入参数预测平板电脑的性能可能是不可靠的,需要微观结构分析.
  • 目前的微结构分析技术往往是昂贵或有毒的,限制了制药行业的采用.

研究的目的:

  • 开发一种快速,易于使用,基于图像的方法来描述平板电脑的微观结构.
  • 为了将微观结构参数与药片成分,压缩压力和药物释放相关联.
  • 建立一个模型系统,以了解具有不同辅助剂变形性的压缩固体剂型.

主要方法:

  • 开发了一种基于图像的方法来描述微观结构.
  • 将该方法应用于ibuprofen (API) 和酸二 (辅助剂) 的模型系统.
  • 与辅助剂的等值直径的二次平均值与药片特性和药物释放相关联.

主要成果:

  • 成功开发了一个基于图像的微观结构描述工具.
  • 确定了辅助剂的微观结构参数与片剂成分,压缩压力和API释放率之间的相关性.
  • 使用微观结构数据证明了预测平板电脑溶解性能的潜力.

结论:

  • 基于图像的方法可以有效地描述平板电脑的微观结构.
  • 微结构参数可以用于预测特定模型系统中的药物释放性能.
  • 这种方法为制药开发中的微结构分析提供了可行的替代方案.