Solubility Prediction of Drugs in Mono-Solvents at Various Temperatures: Ciprofloxacin Data Simulation

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.