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Multivariate data analysis of UV spectra in monitoring elution and determining endpoint of chromatography using polyamide column
Author(s) -
Yan Binjun,
Qu Haibin
Publication year - 2013
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201200879
Subject(s) - chromatography , elution , polyamide , chemistry , solvent , column chromatography , multivariate statistics , computer science , machine learning , organic chemistry
Chromatography using polyamide column is one of the most critical purification operations that affect the safety and efficacy of traditional C hinese medicine ( TCM ) products. To ensure successful operation and reduce time and solvent consumption, UV spectroscopy combined with multivariate data analysis as an online analytical tool was developed for monitoring the polyamide column chromatography of the TCM D anshen. The process trajectories were established by principal component analysis of the UV spectra and used to determine the endpoint of the washing stage and investigate the impacts of the process conditions. The online analysis method developed determined the concentration of salvianolic acid B (an important compound in D anshen) in the effluent rapidly and precisely with a coefficient of determination of 0.9963 and helped to collect salvianolic acid B quantitatively for determining the endpoint of elution. The methodology proposed is an effective approach applicable in guiding successful operations in the chromatographic separation.