2015
DOI: 10.1016/j.ejpb.2015.06.029
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A novel approach for predicting the dissolution profiles of pharmaceutical tablets

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Cited by 14 publications
(9 citation statements)
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“…It is necessary to combine the research of equilibrium thermodynamics and process kinetics to reveal the essential laws of the crystallization process and then realize the optimization of the crystallization process. Recently, the chemical-potential-gradient model combined with the perturbed-chain statistical associating fluid theory (PC-SAFT) was established to investigate the dissolution kinetics of drugs, including the mechanism information under different conditions and prediction of dissolution kinetics. Furthermore, this model can also be extended for studying the crystallization process. , …”
Section: Introductionmentioning
confidence: 99%
“…It is necessary to combine the research of equilibrium thermodynamics and process kinetics to reveal the essential laws of the crystallization process and then realize the optimization of the crystallization process. Recently, the chemical-potential-gradient model combined with the perturbed-chain statistical associating fluid theory (PC-SAFT) was established to investigate the dissolution kinetics of drugs, including the mechanism information under different conditions and prediction of dissolution kinetics. Furthermore, this model can also be extended for studying the crystallization process. , …”
Section: Introductionmentioning
confidence: 99%
“…Among the correlated model results that passed the paired sample t -test, the AG model had the smallest ARD and the corresponding profiles were in great agreement with the experimental value compared to other models, as shown in Table S2 and Figures and S2. Therefore, for the simplification reasons, the crystallization kinetics at 308.15 K was predicted based on the linear relationship between k t and temperature. Unfortunately, the t -test showed significant differences in predicted crystallization kinetics and experimental results, although the predicted ARD was low.…”
Section: Resultsmentioning
confidence: 99%
“…In addition, growth rate expressions that depend on the crystal surface area, supersaturation, and order of the reaction were also developed. , However, most of the above models are restricted to the experimental conditions reported in the literature, and the thermodynamic driving force is described by the concentration gradient. More recently, a chemical potential gradient model was proposed to analyze the dissolution mechanism of drugs as well as their formulations and accurately predict the dissolution profiles of drugs as a function of the stirring speed, temperature, medium pH, copolymer composition, and polymer molecular weight. In the chemical potential gradient model, the perturbed-chain statistical associating fluid theory (PC-SAFT) was used to calculate the thermodynamic properties of the systems. The chemical potential gradient model describes the dissolution rate of drugs in terms of two contributing parts: the thermodynamic driving force and the kinetic rate constant. Similar to the dissolution process, the chemical potential gradient model can be implemented to study crystallization, and it is expected to provide new insights into the MAP crystallization mechanism.…”
Section: Introductionmentioning
confidence: 99%
“…The characterization of the tablet material and the connection of the critical characteristics of the tablet mixture with the physical and mechanical characteristics of the tablet is one of the tasks necessary to formulate an optimal tablet [ 9 ]. Examining the physical properties of the tablet material makes it possible to predict the influence of the powder characteristics on the critical characteristics of the tablet as the final form of the drug [ 10 ]. One of the limiting factors at the beginning of tablet formulation development is the limited amount and high cost of API and excipients that are available to perform the necessary experiments.…”
Section: Introductionmentioning
confidence: 99%