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A mixture design was then applied to model retention factors as a function of the mobile phase content in acetonitrile, water and methanol on three columns: Atlantis HILIC Silica, ZIC-HILIC and Monochrom diol.
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In this work we systematically investigated the influence of the mobile phase (methanol content) and temperature on SMB performance using a model-based optimization approach that accounts for methionine solubility, adsorption behavior and back pressure.
In other early work, Harris et al. extracted adsorption kinetics in RPLC of cations with variable mobile phase methanol content.
Meanwhile, neutral analytes were retained by hydrophobic interaction and was mainly affected by mobile phase organic solvent content.
Chromatographic evaluation of ions and small molecules suggested that retention of ionic analytes was influenced by the ionic strength, pH, and mobile phase organic solvent content, and governed by both ion-exchange and hydrophobic interactions.
However, unlike NPLC, HILIC employs aqueous mobile phases; during gradient elution, the polarity is increased from a low organic content to a high-water-content mobile phase in order to promote the elution of polar compounds.
The factors studied were the concentration of sodium dodecyl sulfate, alkyl chain length of the alcohol used as the organic modifier, organic modifier content, mobile phase pH and temperature.
Separations were carried out using isocratic elution with the hexane methyl tert-butyl ether (MTBE) mobile phase, with the MTBE content varying from 0 to 30%% (v/ v).
We investigated the influence of separation conditions, namely mobile phase composition (ion interaction agent content, pH and organic constituent content), on sequence-dependent separation by means of ion-interaction RPLC (II-RPLC) using two types of models: experimental design artificial neural networks (ED-ANN), and linear regression based on molecular dynamics data.
The organic to aqueous content ratio, the acid content of the mobile phase, and the elution method were analyzed using a Response Surface Methodology IV-Optimal design.
The influence of the instrumental parameters: methanol content in mobile phase, mobile phase pH and flow rate was also examined.
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