High-performance liquid retention force

This extends the previous work (I ) In which the Lennard-Jones type surface potential function and the frictional function representing the Interfaclal forces working on the solute molecule from the membrane pore wall were combined with solute and solvent transport through a pore to calculate data on membrane performance such as those on solute separation and the ratio of product rate to pure water permeation rate in reverse osmosis. In the previous work (1 ) parameters Involved in the Lennard-Jones type and frictional functions were determined by a trial and error method so that the solutions in terms of solute separation and (product rate/pure water permeation rate) ratio fit the experimental data. In this paper the potential function is generated by using the experimental high performance liquid chromatography (HPLC) data in which the retention time represents the adsorption and desorption equilibrium of the solute at the solvent-polymer interface. 

Reversed-phase high-performance liquid chromatography (RP-HPLC) is more popular for analysis of carotenoids than is normal-phase HPLC because (1) retention is very little affected by small variations in the mobile-phase composition, and (2) the risk of artifact formation on passage through the column is minimal as solute-support interactions on non-polar-bonded phases only involve weak forces. A variety of stationary phases of various polarities are available, such as C18, C8, C4, C2, Cl, phenyl, and cyano derivatives the C18 phase is the most popular. 

This chapter has studied the control of a column-pervaporation process for producing high-purity ethanol to overcome the azeotropic limitation encountered in distillation. A conventional control structure is developed that provides effective dismrbance rejection for both production rate and feed composition changes. A simple pervaporation model is developed in Aspen Custom Modeler that captures the important dynamic features of the process. The model uses pervaporation characteristic performance curves to determine diffusivities. Component fluxes depend upon composition driving forces between the retentate and permeate sides of the membrane. The dynamics of the pervaporation cells are assumed to be dominated by composition and energy capacitance of the liquid retentate. 

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