一个模拟框架,用于弹驱动的自动注射器与双室弹.
Sahab Babaee1, Matthew J Hancock2, Joseph M Barakat3
1Device Development and Technology, Merck Research Laboratories, Merck & Co., Inc, Rahway, NJ, 07065, USA. sahab.babaee@merck.com.
一个新的基于物理学的模型优化了带有双室弹 (AIDC) 的自动注射器,用于药物输送. 这种模拟工具预测了设备的性能,减少了对广泛物理测试的需求,并确保了可靠的药物复制和注射.
科学领域:
- 生物医学工程 生物医学工程
- 制药科学 制药科学
- 计算建模 计算建模
背景情况:
- 带有双腔子 (AIDC) 的自动注射器对于自行注射冷解药物和疫苗至关重要.
- 优化AIDC性能需要理解设备参数和配方属性之间的复杂相互作用.
- 当前的开发周期往往涉及广泛和耗时的实验测试.
研究的目的:
- 开发和应用基于物理的模型来理解和优化AIDC的行为.
- 根据配方和设备参数,预测AIDC性能,包括注射时间和阻塞轨迹.
- 在AIDC开发中减少对物理原型和实验验证的需求.
主要方法:
- 开发了一种基于物理的模型,其中包含了双机的运动方程.
- 整合了理想气体定律和实验性衍生的阻塞摩擦模型.
- 使用各种稀释剂体积和粘度的实验注射时间数据验证了模型.
主要成果:
- 该模型准确地预测了基本的性能要求,如注射时间和塞轨迹.
- 在不同条件下,模型预测和实验数据之间表现出良好的一致性.
- 确定了影响AIDC性能的关键参数,使配置的虚拟测试成为可能.
结论:
- 开发的基于物理的模型为虚拟AIDC性能评估提供了一个强大的框架.
- 这种以模拟为主导的方法促进了明智的设备选择,并减少了实验负担.
- 建模框架适用于各种弹驱动的AIDC,用于冷化产品的交付.
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