In this study, experimental CO2 solubility in aqueous sodium salt of l-phenylalanine (Na-Phe) was investigated at concentrations (w = 0.10, 0.20, and 0.25) mass fractions. The solubility was measured in a high-pressure solubility cell at temperatures 303.15, 313.15 and 333.15 K, over a CO2 pressure range of (2–25) bar. The effect of temperature, equilibrium CO2 pressure and Na-Phe concentration on CO2 loading were examined. Two different models namely modified Kent-Eisenberg and artificial neural network (ANN) were used to correlate the CO2 solubility data. Carbamate hydrolysis and amine deprotonation equilibrium constants were estimated as a function of temperature, pressure and solvent concentration from modified Kent-Eisenberg model. Also, the comparison of prediction results obtained from both modeling techniques was carried out. It was found that ANN model performed better than modified Kent-Eisenberg model.
Garg, S., Shariff, A. M., Shaikh, M. S., Lal, B., Suleman, H., & Faiqa, N. (2017). Experimental data, thermodynamic and neural network modeling of CO 2 solubility in aqueous sodium salt of l -phenylalanine. Journal of CO2 Utilization, 19, 146-156. https://doi.org/10.1016/j.jcou.2017.03.011