2004
DOI: 10.1016/j.ces.2004.05.001
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Solubility of amino acids and diglycine in aqueous–alkanol solutions

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Cited by 65 publications
(110 citation statements)
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“…Those parts result in different polarities and solubilities. It has also been reported that the physical and chemical properties of amino acids are very important; in terms of not only being the basic building blocks of proteins and peptides but also for their importance in industrial processes, particularly in pharmaceutical and food industry [17]. Based on the above arguments, calcium oxalate crystallization is very important for both manufacturing processes and clinical research.…”
Section: Introductionmentioning
confidence: 96%
“…Those parts result in different polarities and solubilities. It has also been reported that the physical and chemical properties of amino acids are very important; in terms of not only being the basic building blocks of proteins and peptides but also for their importance in industrial processes, particularly in pharmaceutical and food industry [17]. Based on the above arguments, calcium oxalate crystallization is very important for both manufacturing processes and clinical research.…”
Section: Introductionmentioning
confidence: 96%
“…The thermodynamic stability of the three polymorphs of glycine at ambient conditions is in the order c-form > a-form > b-form [1][2][3]. Differences in the physical and chemical properties between polymorphic compounds (e.g., solubility, density, heat capacity, melting point, thermal conductivity, and optical activity) can have a significant influence on the process acceptability, bioavailability, filtration, and tablet processes of pharmaceutical, food, and specialty materials [4][5][6][7][8]. Therefore, to improve the functionality for better utilisation of glycine crystals, an effective method for polymorph control is indispensable in the crystallisation process.…”
Section: Introductionmentioning
confidence: 99%
“…An important feature of a model is the predictive capability. Figure 1 shows a comparison of the performance of the model presented by Ferreira et al [23] in the prediction of solubility data for glycine in water-ethanol mixtures at different temperatures published by Dunn and Ross [15].…”
Section: Modelingmentioning
confidence: 99%
“…In view of the difficulties encountered with the previous methods, Ferreira et al [23] used the excess solubility approach with conventional thermodynamic models like the Margules, Wilson, and nonrandom two-liquid (NRTL) equations. The NRTL model gave the best fit of the data, with average relative deviations around 8.4 % for correlation and 15.0 % for predictions.…”
Section: Modelingmentioning
confidence: 99%
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