Introduction 4116 2. Theoretical Background and Framework for Atmospheric Aerosols 4117 2.1. Saturation Vapor Pressures 4117 2.2. Vapor−Liquid or Vapor−Solid Equilibria over Mixed Solutions 4118 2.3. Equilibria over Curved Surfaces 4118 2.4. Dynamic Evaporation and Condensation from and to an Aerosol Particle 4119 2.5. Ambient Partitioning 4120 3. Experimental Methods 4120 3.1. Knudsen-Cell-Based Methods 4121 3.1.1. Knudsen Mass Loss Methods 4121 3.

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Knowledge of the solubility of a cocrystal in terms of solvent, temperature, and the liquid-phase concentrations of the active pharmaceutical ingredient and coformer is necessary for the pharmaceutical industry to produce pharmaceuticals with improved physicochemical properties. Here, we propose a simple and convenient shortcut calculation to predict the solubility curve of cocrystals using simple thermodynamic equations, considering the liquid-phase activity coefficient of the two species in the cocrystal, which does not require any fitting nor experimental solubility data of the cocrystal. Ibuprofen–nicotinamide and carbamazepine–nicotinamide cocrystals in ethanol were used to study the effect of temperature variation, while indomethacin–saccharin and carbamazepine–nicotinamide cocrystals were used to study the effect of solvents. Our prediction shows good results in both scenarios, which were supported by the absolute average deviation and the percent absolute relative deviation (% ARD) from the experimental data. Carbamazepine–nicotinamide in ethanol shows the best outcome with the lowest % ARD (9.0, 24.6, and 8.6% at 288.15, 298.15, and 308.15 K, respectively). Furthermore, we also illustrate the importance of the activity coefficient and any phase transition of the pure species in the calculation to achieve the most accurate result.