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Migration behavior of therapeutic peptide hormones: Prediction of optimal separation by capillary electrophoresis
Author(s) -
SanzNebot Victoria,
Benavente Fernando,
Toro Isabel,
Barbosa José
Publication year - 2001
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/1522-2683(200112)22:20<4333::aid-elps4333>3.0.co;2-8
Subject(s) - electrophoresis , capillary electrophoresis , electrolyte , peptide , chromatography , separation (statistics) , chemistry , ionization , biological system , process (computing) , selection (genetic algorithm) , computer science , ion , biology , biochemistry , organic chemistry , electrode , machine learning , artificial intelligence , operating system
Abstract A general equation that relates electrophoretic mobility of polyprotic peptide substances and pH of the running electrolytes is established, taking into account the species in solution and the activity coefficients. Modelling electrophoretic mobility as a function of pH can be simultaneously used for determination of ionization constants and selection of the optimum pH for separation of mixtures of the modelled compounds. The proposed relationships allow an important reduction of the experimental data needed for development of new separation methods. The accuracy of the proposed equations is verified by modelling the migration behavior of a heterogeneous series of polyprotic amphoteric peptide hormones. By calculating the values of predicted resolutions, selection of the optimum pH to perform separation of their mixtures becomes a rapid and simple process.