پديدآورندگان :
Ostadhashem Amir Hosein amirostadhashem@yahoo.com School of Chemical, gas and petroleum engineering, Semnan University, Semnan, Iran ; E-mail: , Peyvandi Kiana peyvandy@semnan.ac.ir School of Chemical, gas and petroleum engineering, Semnan University, Semnan, Iran ; E-mail: k_
كليدواژه :
Thermodynamic Modeling , Solubility Equilibrium , GE Models , Co , Solvents , Pharmaceutical Substances
چكيده فارسي :
Crystallization and extraction are the most significant methods for purifying the industrial and biological substances as constituent of chemical and pharmaceutical products. The design and control of these mentioned methods need the solute solubility data which change based on temperature and solvent composition. Therefore, an accurate solubility data measurement which frequently involves the various solvents solubility evaluation at several temperatures, is so essential for designing and scaling up the crystallization process, and is indispensable for getting knowledge of phase equilibria. One of the preliminary endeavors for giving a distinguished information of pharmaceutical processes is modeling and presenting a relatively simple mathematical model to predict the solubility of various drugs. The essence of ongoing paper is related to solubility prediction in pharmaceutical substances with different chemical structures applying different thermodynamic models involving various parameters in a wide range of temperatures. The NRTL model, UNIQUAC model, Wilson model, Modified Apelblat model, Scatchard-Hildebrand model, and Extended Pitzer model are so illustrative among the presented models which are utilized in drugs calculations. For instance, Chao Cheng et al. [1] measured the solubility of 4-nitrobenzaldehyde in different solvents including methanol, isopropanol, acetone, ethanol, and toluene using the atmospheric saturation method under atmospheric pressure and different temperatures. They also applied the NRTL model, Apelblat model, and Wilson model to predict the solubility and other desired parameters. This team concentrated on solubility prediction of the dehydroepiandrosterone acetate in different solvents containing cyclohexane, acetonitrile, methanol, etc using modified Apelblat equation, the λh equation, the Wilson model, and the NRTL model [2]. Reviewing the papers shows that using the conventional thermodynamic models, and predicting the solubility of drug in different single and mixed solvents have an error about 30%. Obviously, the new thermodynamic models with less errors should be introduced. Definitely, the molecular structure of drugs affects their solubility, and it should be offered a model that shows the structural properties of the substance.
