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"Sweet space" strategy for solvent system selection in countercurrent chromatography: A case study on separation of polyunsaturated fatty acids from borage oil.
Han, Tian; Fu, Zhuo; Yang, Muyun; Cao, Xueli.
Affiliation
  • Han T; Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing, China.
  • Fu Z; Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing, China.
  • Yang M; Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing, China.
  • Cao X; Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing, China.
J Sep Sci ; 47(11): e2400195, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38819780
ABSTRACT
This study presents a comprehensive strategy for the selection and optimization of solvent systems in countercurrent chromatography (CCC) for the effective separation of compounds. With a focus on traditional organic solvent systems, the research introduces a "sweet space" strategy that merges intuitive understanding with mathematical accuracy, addressing the significant challenges in solvent system selection, a critical bottleneck in the widespread application of CCC. By employing a combination of volume ratios and graphical representations, including both regular and trirectangular tetrahedron models, the proposed approach facilitates a more inclusive and user-friendly strategy for solvent system selection. This study demonstrates the potential of the proposed strategy through the successful separation of gamma-linolenic acid, oleic acid, and linoleic acid from borage oil, highlighting the strategy's effectiveness and practical applicability in CCC separations.
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Full text: 1 Database: MEDLINE Main subject: Solvents / Plant Oils / Countercurrent Distribution Language: En Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Main subject: Solvents / Plant Oils / Countercurrent Distribution Language: En Year: 2024 Type: Article