Kurnakov Institute of General & Inorganic Chemistry, Russian Academy of Sciences, Leninsky Prospekt 31, Moscow 119991, Russia.
Kurnakov Institute of General & Inorganic Chemistry, Russian Academy of Sciences, Leninsky Prospekt 31, Moscow 119991, Russia.
J Chromatogr A. 2020 Dec 6;1633:461630. doi: 10.1016/j.chroma.2020.461630. Epub 2020 Oct 17.
Industrial separation technologies can be improved and greatly simplified by using the methods of counter-current chromatography (CCC). We have previously proposed the use of currently available solvent extraction equipment (a series of multistage columns, a cascade of centrifugal mixer-settler extractors) as large-scale CCC devices. For industrial separations, the application of closed-loop recycling counter-current chromatography (CLR CCC) methods seems to be the most promising. To improve the performance of the CLR CCC separations, semi-continuous three-stage processes (1 - continuous loading of the mixture solution over a definite time; 2 - separation of solutes in recycling closed-loop; 3 - elution of the fractions of the separated solutes with the mobile phase) can be used. The purpose of this study is to present a simple and easy to use mathematical model allowing the simulation and design of various options for implementing such separation processes and analyze the influence of its main parameters on separation efficiency.
工业分离技术可以通过逆流色谱（CCC）的方法得到改进和极大简化。我们之前曾提议使用现有的溶剂萃取设备（一系列多级柱、离心混合-沉降萃取器的级联）作为大规模 CCC 设备。对于工业分离，闭环循环逆流色谱（CLR CCC）方法的应用似乎最有前途。为了提高 CLR CCC 分离的性能，可以使用半连续三级工艺（1-在规定时间内连续加载混合溶液；2-在循环闭环中分离溶质；3-用流动相洗脱分离溶质的馏分）。本研究的目的是提出一个简单易用的数学模型，允许模拟和设计实现这种分离过程的各种方案，并分析其主要参数对分离效率的影响。
