Novel Strategies for Physical Data Fitting Based on a Cooling Crystallization Process of myo-Inositol

Exhaustive data of myo-inositol solution at different temperatures, including the solubility, saturation ratio, refractive index, density, and viscosity, were measured in this work. Considering the cooling crystallization of myo-inositol, supersaturated solutions were used at 303.2–323.2 K, and unsaturated solutions were used at 328.2–353.2 K. To reduce the tedious data measurement process, novel data fitting strategies were proposed in this work. According to these strategies, models used to calculate the physical data and the saturation ratio were obtained by fitting. In these models, only the temperature and the refractive index, which could be quickly and accurately measured by instruments, were used as input variables. The calculated values from the new models were compared with experimental data and calculated values from empirical models. Root-mean-square deviation and average relative deviation were also used as evaluation indicators. As the results showed, in the myo-inositol–water system, models in this work were better than empirical models in most parts. The results obtained in this work are instructive for the cooling crystallization process of myo-inositol and inspiring to fitting model of physical data.