Modelling and Optimization of Oxalic Acid Removal by Layered Double Hydroxide

Şentürk S., Gamsızkan H., Gök M. K., Aşçı Y. S., Gök A.

ALKÜ Fen Bilimleri Dergisi, cilt.6, sa.1, ss.80-95, 2024 (Hakemli Dergi)

Özet

The main purpose of this study is the investigation of the optimization of the conditions of oxalic acid (OxA) adsorption using layered double hydroxide (LDH), modeling the adsorption with both an artificial neural network (ANN) and the response surface methodology (RSM). Mg-Al LDH, which was characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD) techniques and inductively coupled plasma mass spectrometry (ICP-MS), was synthesized via the co-precipitation method. The equilibrium time and kinetic model data required to realize the adsorption process design were examined. The process time, initial acid concentration, temperature, and adsorbent dosage as the independent variables were chosen while measuring the percentage of OxA removal. Modeling these results with both ANN and RSM techniques resulted in an ANN model showing a slightly better coefficient of determination than the RSM model. The models obtained in this study yielded consistent results for the optimum conditions of the process.