COMPUTATIONAL ALGORITHM TO PREDICT PEAK PROFILES IN PREPARATIVE HIGH-PERFORMANCE CHROMATOGRAPHY

The computational algorithm and tire Prep-LEAR program have been perfo rmed on the basis of the LEA model of chromatography. This program int ends for calculation of peak profiles in non-linear high-performance c hromatography and uses unsimplified adsorption isotherm equations The computational algorithm and program have been tested by applying these to experimental data of thymine adsorption under conditions of revers ed-phase highperformance liquid chromatography. The results of numeric al calculations for different sample size introduced agree satisfactor ily with experimental data and show the characteristic properties of h igh-performance chromatography, The usefulness of the Prep-LEAR progra m was confirmed by predicting peak profiles in preparative adsorption chromatographic processes