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The polarization relaxation characteristics were investigated in details based on Lou's polarization retention model.
Secondly, a generally applicable retention model was established, based on chromatographic retention data (log k) acquired for 76 model compounds.
Based on the test results, a revised water retention model was developed for considering the temperature effect.
To handle this problem, a retention model named "hydrophilic-subtraction model" was developed to characterize and compare HILIC columns.
A stoichiometric retention model based on the counterion binding to the charged functional groups of the peptide is proposed.
The first one develops a retention model for peaks in a predefined experimental domain of pH and buffer concentration.
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A commercial software was used to build up retention models.
Accurate retention time predictions (<0.5%) were achievable using non-linear retention models (3 × 3).
MATLAB Neural Networks ToolBox was not adequate for application to retention modelling in this particular case.
This mismatch is more serious in retention models at low methanol fractions.
Therefore the authors adopted it for retention modelling by programming in MATLAB metalanguage.
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