Background: Prediction of drugs solubility in mono-solvents at various temperatures revisited concerning the minimization of the experimental efforts. Methods: The reported experimental solubility data of ciprofloxacin (as a model compound) in mono-solvents was mathematically represented using a new correlative mathematical model. The correlative and predictive capabilities of a number of models were investigated and the results were compared with the proposed method. Results: The obtained results revealed that, it is possible to correlate the solubility values for ciprofloxacin in the mono-solvents using a single mathematical model. The correlation accuracy of the model was also compared with those of van’t Hoff, van’t Hoff -Yaws and Apelblat models. To provide predictive tools, the models were trained using a single solubility data points in each mono-solvent and the solubility at other temperatures was predicted. The models provided reasonably accurate predictions. Conclusion: The obtained predictive results are promising and could be recommended to be used in the pharmaceutical industries.
No takes yet. Share an insight, caveat, or question.
Abolghasem Jouyban (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: