在超生理应变速率下模拟红细胞变形,使用滴滴框架
Hannah P Palahnuk1,2, Nicolas A Tobin2, Keefe B Manning3,4
1Department of Biomedical Engineering, The Pennsylvania State University, University Park, State College, PA, USA.
Annals of biomedical engineering
|January 29, 2026
概括
一个新的in silico模型准确地预测了机械循环支持装置 (MCSD) 中的人类红细胞 (RBC) 变形. 该模型改善了对RBC在MCSD相关的流量条件下的行为理解.
科学领域:
- 生物医学工程 生物医学工程
- 计算生物学 计算生物学
- 流体动力学 流体动力学
背景情况:
- 血液溶解是机械循环支持装置 (MCSD) 中的一个重要问题.
- 精确的红细胞 (RBC) 变形建模对于改善MCSD技术至关重要.
- 现有的变形模型在各种条件下缺乏与人类红细胞数据的校准.
研究的目的:
- 修改和验证滴滴变形模型,用于预测人体红细胞在体中的变形.
- 调整模型以适应宏观MCSD流量条件.
- 使用体外人类红细胞变形数据对模型进行校准.
主要方法:
- 在微流体流中研究了体外人类红细胞变形.
- 使用了两个悬浮粘度 (2.05 和 4.17 cP).
- 在MCSD相关的剪速 (5,000200,000 s−1) 和延伸速率 (33013,160 s−1) 进行测试.
- 一个滴滴变形模型的修改的组成参数.
主要成果:
- 校准模型准确地复制了剪切和延伸流中的RBC变形.
- 在测试条件下,in silico剪切变形的平均绝对误差 (MAE) 为≤0.15.
- 在大多数条件下,延伸变形峰值的MAE为≤0.11,在较低的比率下,误差更高.
结论:
- 模型适应成功地预测了MCSD相关的应变速率的红细胞变形.
- 该模型在红细胞表现得像液滴一样的地方表现得很好.
- 这种经过验证的模型可以帮助设计和优化MCSD以尽量减少血液溶解.
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