In this study, a poly(glycidyl methacrylate) nanoparticle (PGMA NP)-coated column system with two antibiotics as selector was constructed for enantioseparation. The PGMA NP coating inside the capillary columns could be… Click to show full abstract
In this study, a poly(glycidyl methacrylate) nanoparticle (PGMA NP)-coated column system with two antibiotics as selector was constructed for enantioseparation. The PGMA NP coating inside the capillary columns could be easily introduced by a simple ring open reaction. Five basic drugs were used as the model to evaluate the enantioselectivity of Azithromycin Lactobionate (AL) and Clindamycin phosphate (CP)-based separation system. Factors that influence the chiral separation resolution were systematically investigated, such as chiral selector concentration, background electrolyte (BGE) pH, applied voltage and system temperature. Under the optimized conditions, improved enantioseparations were obtained for all enantiomers and the maximum column efficiency of model drugs could reach 120,000 plates/m. The repeatability of relative standard deviations for EOF representing run-to-run, day-to-day and column-to-column was less than 4.32%. In addition, molecular modeling with AutoDock was applied to elucidate the explored potential mechanism of AL/CP for recognizing racemic drugs.
               
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