使用有限元素方法与热耐受性模型相结合,预测平板时的益生菌活力
Bide Wang1, Oleksiy V Klymenko1, Rachael Gibson2
1School of Chemistry and Chemical Engineering, University of Surrey, Guildford, UK.
International journal of pharmaceutics
|February 13, 2025
概括
在平板电脑压缩过程中开发益生菌生存能力的预测模型至关重要. 一个新的有限元素模型准确地预测了压缩压力如何影响Lactobacillus gasseri的生存能力,显示压缩前增强了生存率.
科学领域:
- 制药科学 制药科学
- 材料科学 材料科学 材料科学
- 生物技术是生物技术.
背景情况:
- 药片有效地将益生菌输送到胃肠道.
- 平板电脑的压缩涉及机械应力和热量,挑战益生菌的生存能力.
- 优化片剂需要评估各种压缩条件下的益生菌生存率,但这耗时且昂贵.
研究的目的:
- 开发一个预测模型来评估在粉末压缩过程中益生菌的生存能力.
- 将有限元 (FE) 模型与修改的德鲁克-普拉格帽 (DPC) 模型和热耐受性模型集成.
- 为了减少开发时间和与优化平板制造过程相关的成本.
主要方法:
- 开发了一种新的有限元素 (FE) 模型,将修改后的德鲁克-普拉格帽 (DPC) 模型与热耐受性模型集成在一起.
- 验证了模型的预测能力与机械行为的实验测量,热反应和益生菌生存能力.
- 在不同的压缩压力下模拟益生菌活力.
主要成果:
- 该FE模型准确地预测了机械行为,热反应和益生菌活力.
- 甘菌 (L. gasseri KS-13) 的益生菌活力随着压缩压力的增加而下降,这与实验结果一致.
- 预压缩被确定为一种有效的策略,可以在压缩过程中增强益生菌的生存能力.
结论:
- 开发的FE模型提供了一个可靠的工具,用于预测粉末缩过程中益生菌的生存能力.
- 了解压缩参数对生存能力的影响对于优化益生菌片制造至关重要.
- 压缩前出现作为一个有前途的技术,以提高益生菌在压缩片中的存活率.
相关概念视频
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San Francisco's Golden Gate Bridge is exposed to temperatures ranging from -15 °C to 40 °C. At its coldest, the main span of the bridge is 1275 m long. Assuming that the bridge is made entirely of steel, what is the change in its length between these temperatures?
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in temperature (ΔT) is 55 °C.
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in temperature (ΔT) is 55 °C.
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