Modeling and optimization of tartaric acid reactive extraction from aqueous solutions: A comparison between response surface methodology and artificial neural network

▶ Response surface model and artificial neural network were constructed for reactive extraction process. ▶ Reactive extraction of tartaric acid from aqueous solution using Amberlite LA-2 was studied. ▶ A genetic algorithm was employed for optimization problem. ▶ In optimal conditions the experimental extraction efficiency was the best one, i.e. 96.08%.