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Published on: November 1, 2019
Solid-Liquid Equilibrium in the System 2-Keto-L-Gulonic Acid + L-Ascorbic Acid + Water
Fabian Jirasek1, Nadia Galeotti1, Jakob Burger2
1University of Kaiserslautern Laboratory of Engineering Thermodynamics (LTD) Erwin-Schrödinger-Strasse 44 67663 Kaiserslautern Germany.
This study details the solid-liquid equilibrium of 2-keto-L-gulonic acid (HKGA) and vitamin C in water. A physicochemical model accurately predicts solubility constants and phase diagrams for industrial applications.
Area of Science:
- Physical Chemistry
- Chemical Engineering
- Materials Science
Background:
- Understanding solid-liquid equilibrium (SLE) is crucial for industrial processes involving chemical mixtures.
- Ascorbic acid (vitamin C) and 2-keto-L-gulonic acid (HKGA) are important compounds with potential industrial applications.
- Accurate phase diagrams and solubility data are essential for process design and optimization.
Purpose of the Study:
- To experimentally investigate the solid-liquid equilibrium (SLE) in the ternary system of HKGA, vitamin C, and water.
- To determine the dissociation and solubility constants of vitamin C as a function of temperature.
- To develop and validate a physicochemical model for predicting SLE in this system.
Main Methods:
- Experimental determination of solid-liquid equilibrium data at various temperatures (276 K to 308 K) and ambient pressure.
- Phase diagram construction for the ternary system, identifying eutonic points.
- Application of an extended Debye-Hückel theory to develop a physicochemical model.
Main Results:
- Phase diagrams with a single eutonic point were successfully obtained for all investigated temperatures.
- The dissociation and solubility constants of vitamin C were determined across the temperature range.
- The developed physicochemical model demonstrated excellent agreement with experimental SLE data.
Conclusions:
- The study provides valuable experimental data and a predictive model for the HKGA + vitamin C + water system.
- The findings are relevant for optimizing industrial processes involving these compounds.
- The physicochemical model offers a robust tool for understanding and predicting solubility behavior.
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