考虑到生物样品冷保存过程模型中的不确定量
Anna Skorupa1, Alicja Piasecka-Belkhayat1
11Department of Computational Mechanics and Engineering, Silesian University of Technology, Gliwice, Poland.
Acta of bioengineering and biomechanics
|April 16, 2025
概括
这项研究使用模糊逻辑和液体追踪协议在冷保存期间模拟热量和质量转移. 数字模拟显示计算的模糊温度与实验数据一致,有助于冷保存的优化.
科学领域:
- 低温生物学 低温生物学
- 生物物理学的生物物理.
- 计算生物学 计算生物学
背景情况:
- 冷保存的目的是通过在冷却过程中最大限度地减少冰晶的形成来保存生物样本.
- 液体跟踪 (LT) 协议通过多个阶段精确控制温度和溶液度.
- 对热量和质量转移的准确建模对于优化冷保存协议至关重要.
研究的目的:
- 介绍生物样本冷保存过程中热量和质量转移的数值模型.
- 模拟冷却过程使用液体跟踪 (LT) 协议与模糊的热物理参数.
- 评估三角和高斯成员函数在描述模糊变量的表现.
主要方法:
- 富里埃方程用于温度分布,而菲克定律用于质量转移.
- 一个数值模型结合了模糊的集合理论与三角形和高斯成员函数.
- 用有限差异法来解决由此产生的数值问题.
主要成果:
- 生成图表,说明温度和质量分布的时间和模糊变量分布.
- 将计算的模糊温度和度与现有文献中的实验数据进行比较.
- 在计算的模糊温度和LT协议值之间观察到的一致性.
结论:
- 高斯成员函数对已知平均值和标准偏差的实验数据表现良好.
- 计算的模糊温度与LT协议中的实验值非常接近.
- 实验数据和模糊二甲基硫氧化物 (DMSO) 度的计算值之间存在差异.
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