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.