Selecting the appropriate solvent system is the key to the successful separation of samples by using countercurrent chromatography. Although high-speed countercurrent chromatography has been widely used in the separation and preparation of natural products, the selection of a solvent system has always been a stumbling block to the application of high-speed countercurrent chromatography. In order to explore a rapid and practical prediction method to select countercurrent chromatography solvent system, five linear prediction models of the Arizona solvent system family (HEMW) was established by using fourteen compounds with different structures and five HPLC columns of different brands. And two different solvent system selection methods (The partition coefficient K of the target compound in the solvent system was in the range of 0.25 < K < 2.5) were proposed for targeted separation of compounds and multi-component separation in a complex sample respectively. The appropriate HSCCC solvent system of five known compounds was determined by a HPLC analysis and a shake flask test and the appropriate HSCCC solvent system of two Chinese herbal extracts was determined by a HPLC analysis to verify the prediction method. In this study, solid-liquid partition chromatography (HPLC) and liquid-liquid partition chromatography (HSCCC) were linked by polarity to simplify the screening process of solvent system. This method reduced the difficulty and workload of solvent system selection, which provided methods and ideas for more solvent system prediction models.

选择合适的溶剂系统是使用逆流色谱法成功分离样品的关键。尽管高速逆流色谱法已广泛用于天然产物的分离和制备中，但溶剂体系的选择一直是高速逆流色谱法应用的绊脚石。为了探索选择逆流色谱溶剂系统的快速，实用的预测方法，通过使用十四种结构不同的化合物和五种不同品牌的HPLC色谱柱，建立了亚利桑那溶剂系统家族（HEMW）的五个线性预测模型。以及两种不同的溶剂体系选择方法（分配系数K溶剂体系中目标化合物的最大分离度在0.25 < K  <2.5的范围内。 建议将目标化合物分离并在复杂样品中进行多组分分离。通过HPLC分析和摇瓶试验确定了五种已知化合物的合适的HSCCC溶剂体系，并通过HPLC分析确定了两种中草药提取物的合适的HSCCC溶剂体系以验证预测方法。在这项研究中，固-液分配色谱法（HPLC）和液-液分配色谱法（HSCCC）通过极性连接，以简化溶剂系统的筛选过程。该方法减少了溶剂系统选择的难度和工作量，为更多的溶剂系统预测模型提供了方法和思路。