分析,准备和工业规模逆流色谱分离的建模
Artak E Kostanyan1, Andrey A Voshkin1
1Kurnakov Institute of General & Inorganic Chemistry, Russian Academy of Sciences, Leninsky a Prospekt 31, Moscow 119991, Russia.
Journal of chromatography. A
|December 2, 2023
概括
对逆流色谱 (CCC) 分离的数学建模至关重要. 这项研究比较了精确和近似的模拟,找到适合小规模分析和准备CCC的近似模型,而工业规模需要精确的细胞模型方程.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 分离科学 分离科学
- 染色体学 染色体学 是一种染色学.
背景情况:
- 反流色谱 (CCC) 过程在规模上有很大的不同,从分析到工业应用.
- 有效的分离依赖于适当的设备设计和操作参数.
- 数学建模对于优化CCC过程设计和操作至关重要.
研究的目的:
- 为了比较两种不同的数学建模方法在不同尺度上的CCC分离的准确性.
- 评估近似高斯分布模型与准确的平衡细胞模型之间的适用性.
- 根据CCC运营的规模,为选择合适的建模策略提供指导.
主要方法:
- 开发并提出了用于模拟各种规模的CCC分离的方程.
- 利用精确的平衡细胞模型和简化的高斯分布模型进行模拟.
- 在不同的条件下比较两种模型的模拟结果,包括加载的溶液体积和平衡细胞的数量.
主要成果:
- 准确和近似模拟之间的差异随着较大的加载溶液体积和较少的平衡细胞而增加.
- 大致模型适用于模拟分析和准备性CCC,采用小样本体积.
- 工业规模的CCC需要精确的细胞模型方程,特别是在使用大量的混合器-定位器级联时.
结论:
- 对于CCC模拟的数学模型的选择取决于操作的规模.
- 大致的高斯模型对于小规模,低体积的CCC应用非常有效.
- 精确的细胞模型模拟对于优化大规模,大量的工业CCC流程是不可或缺的.
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