Conductivity Detection for Molecular Mass Estimation of Per-O-Sulfonated Glycosaminoglycans Seperated by High-Performance Size Exclusion Chromatography

No Thumbnail Available
Authors
Chaidedgumjorn, A.
Suzuki, A.
Toyoda, H.
Toida, T.
Imanari, T.
Linhardt, Robert J.
Issue Date
2002
Type
Article
Language
ENG
Keywords
Biology , Chemistry and chemical biology , Chemical and biological engineering , Biomedical engineering
Research Projects
Organizational Units
Journal Issue
Alternative Title
Abstract
Chemically per-O-sulfonated polysaccharides, including glycosaminoglycans (GAGs) and hyaluronan oligosaccharides were analyzed using high-performance size-exclusion chromatography (HPSEC) with suppressed conductivity detection. The results were compared to those obtained by gel filtration HPLC using UV detection or fluorescence detection after the post-column reaction with 2-cyanoacetamide in strong alkaline solution. Analysis was performed on a TSKgel G3000SWXL HPSEC column in 5 mM boric acid (pH 7.0 adjusted by 10 mM NaOH). The use of conductivity detection, in the absence of any derivatization and under isocratic conditions gave a limit of detection in the picogram range. Preliminary studies suggest that this approach may be particularly useful in examining sulfonated polysaccharides and oligosaccharides having no UV chromophore, such as those prepared from O-sulfonated fucans and galactans isolated from algae.
Description
Journal of Chromatography A, 959, 95-102
Note : if this item contains full text it may be a preprint, author manuscript, or a Gold OA copy that permits redistribution with a license such as CC BY. The final version is available through the publisher’s platform.
Full Citation
Conductivity Detection for Molecular Mass Estimation of Per-O-Sulfonated Glycosaminoglycans Seperated by High-Performance Size Exclusion Chromatography, A. Chaidedgumjorn, A. Suzuki, H. Toyoda, T. Toida, T. Imanari and R.J. Linhardt, Journal of Chromatography A, 959, 95-102. 2002.
Publisher
Terms of Use
Journal
Volume
Issue
PubMed ID
DOI
ISSN
EISSN