Fakultät Bio- und Chemieingenieurwesen Emil-Figge-Str. 70 44227 Dortmund
Abstract:Aim of this work is the prediction of amino-acid and peptide solubility in aqueous and organic systems with PC-SAFT using new experimental melting properties from fast scanning calorimetry (FSC).
Description:Predicting the solubility of solid compounds requires their melting properties. Measuring the melting temperature and the enthalpy of fusion of biological compounds by calorimetry is often not possible due to the decomposition during heating. To overcome this problem, FSC will be used to measure the melting properties. These new melting properties will then be used to predict the solubility of a biological compound in water or water-solvent mixtures by using the modeling framework PC-SAFT. This project is a collaboration with the Institute of Physics at University of Rostock.
Figure 1: The solubility of glycine and L-alanine in water as molality vs. temperature. Symbols represent experimental data. Lines represent PC-SAFT predictions with FSC-measured melting properties.
Figure 1 shows the possible accuracy of the PC-SAFT predicted solubility of two amino acids in water over a broad temperature range. The combination of FSC and PC-SAFT thus will provide access to predict solubility of biomolecules, which are known to decompose before melting if exposed at low heating rates.
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