使用VIS成像与人工神经网络对胃药片的浮性特征的评估
Melinda Kakuk1, Lilla Alexandra Mészáros2, Dóra Farkas3
1Department of Pharmaceutics, Semmelweis University, 9 Hőgyes Endre Street, Budapest H-1092, Hungary; Egis Pharmaceuticals PLC, 116-120 Bökényföldi Street, Budapest H-1165, Hungary.
概括
这项研究表明,可见成像和人工神经网络 (ANN) 可以快速评估胃药片的浮动特性,而不会破坏它们. 这种非破坏性方法有助于表征药片强度和浮性,用于制药开发.
科学领域:
- 制药技术 制药技术 制药技术
- 生物医学工程 生物医学工程
- 材料科学 材料科学 材料科学
背景情况:
- 胃的剂量形式对于需要胃长时间释放的药物至关重要.
- 浮式平板电脑是一种流行的食疗技术.
- 以非破坏性的方式描述药片的特性对于高效的药物开发至关重要.
研究的目的:
- 调查一种快速,非破坏性的方法来表征平板电脑的浮动性.
- 评估使用数字成像和人工神经网络 (ANN) 进行平板电脑分析.
- 为了将成像数据与药片强度和漂浮性相关联.
主要方法:
- 使用不同的压缩力制造出具有相同组成的片.
- 进行了体检和数字显微镜成像.
- 使用图像处理算法和ANN来分析图像和分类平板电脑.
主要成果:
- 可见图像与模式识别相结合,ANN有效地根据浮性对平板电脑进行了分类.
- 该方法提供了关于粉碎强度和浮动性能的见解.
- 平板电脑表面的数字成像被证明是一种快速而非破坏性的表征技术.
结论:
- 可见成像和ANN提供了一种有效的,非破坏性的方法来描述平板电脑的漂浮性.
- 这种技术有助于快速评估胃的剂量形式.
- 该方法在制药质量控制和开发中具有潜在的应用.
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