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Pharm Sci. 2024;30(3): 391-397.
doi: 10.34172/PS.2024.6
  Abstract View: 60
  PDF Download: 35

Short Communication

Solubility prediction of drugs in mono-solvents at various temperatures: Ciprofloxacin data simulation

Abolghasem Jouyban 1* ORCID logo

1 Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
*Corresponding Author: Email: ajouyban@hotmail.com

Abstract

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.

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Submitted: 25 Dec 2023
Revision: 15 Feb 2024
Accepted: 15 Feb 2024
ePublished: 10 Jun 2024
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