Multi-Criteria Decision Making in High-Submicellar Liquid Chromatographic Optimization of Resolution and Analysis Time of Reducing Sugars by UVDetection

Multi-Criteria Decision Making in High-Submicellar Liquid Chromatographic Optimization of Resolution and Analysis Time of Reducing Sugars by UVDetection

In this study, a simple and sensitive HPLC-based method for reducing sugar analysis is developed. The labelled di- and monosaccharides were separated by high-submicellar chromatography (HSC) technique. In this method, the surfactant monomers exist in the mobile phase, which are dissolved in the hydro-organic medium. The mobile phases were prepared with acetonitrile and an aqueous solution of sodium dodecyl sulphate (SDS) according to a face-centred experimental design. The considered factors in modelling were SDS concentration, mobile phase pH and volume percentage of acetonitrile. Multiple linear regression method was used for the construction of the best model basedon experimental retention times. Pareto-optimal method was used to find suitable compatibility between resolution and analysis time of sugars. The optimum mobile phase composition for separation and determination of analytes in saccharides were [SDS]=0.03 molL-1, 30% v/v acetonitrile and mobile phase pH 5