一种随机微分方程方法,用于模拟光生物反应器中的微藻生长
C Andreu-Vilarroig1, J-C Cortés1, A Navarro-Quiles2
1Instituto Universitario de Matemática Multidisciplinar, Universidad Politécnica de Valencia, Camino de Vera s/n, Valencia, 46022, Spain.
Bulletin of mathematical biology
|February 25, 2026
概括
这项研究将光生物反应器中的微藻生长模型使用随机微分方程来解释可变的光暗周期. 快速闪可以提高生产力,尽管周期不规则,为光生物反应器设计提供指导.
科学领域:
- 生物技术是生物技术.
- 数学生物学 数学生物学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 光生物反应器中的微藻生长通常使用三态光合作用工厂 (PSF) 模型进行建模.
- 水力动力学混合导致光暗过渡之间的不恒定,随机间隔,这是确定性模型无法完全捕捉的因素.
研究的目的:
- 重构决定性的PSF模型作为一个随机微分方程,以纳入随机的光暗切换周期.
- 为了获得随机模型的平均值和方差的分析表达式.
- 调查转换期分布和暗分数对微藻生产力的影响.
主要方法:
- 重构确定性PSF模型作为一个随机微分方程与一个正随机变量切换期间.
- 对长期平均值和方差的封闭式表达式的推导.
- 使用蒙特卡洛模拟来分析切换周期分布和暗分数对生产力的影响.
主要成果:
- 平均随机模型的行为不同于近乎稳定的周期性确定性轨迹.
- 快速闪保持高生产率,即使在高度变化的时间段,只要平均照射量与最佳的连续照明相匹配.
- 较慢,不规则的周期可以显著降低生产力,而暗分数调整的效果很小.
结论:
- 这项工作首次系统地将随机微分方程框架应用于PSF类型的微藻在间歇光下生长的模型.
- 这些发现为优化光生物反应器设计和运行在现实的可变光条件下提供了定量指导.
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