Document Type : Research Article
Authors
1
Department of Chemistry, Islamic Azad University, North Tehran Branch, Tehran, Iran
2
Department of Pharmaceutical Chemistry, Islamic Azad University, East Tehran Branch, Tehran, Iran
3
Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, Iran
4
Department of Chemistry, Shahreza Branch, Islamic Azad University, Shahreza, Isfahan, Iran
Abstract
In this study, the removal efficiency of ceftriaxone (CTX) from aqueous media was assessed via nano zero-valent iron (nZVI) incorporated with strontium hexaferrite (SrFe12O19) (nZVI/SrFe12O19). The synthesized adsorbent was characterized using scanning electron microscopy (SEM), energy dispersive X-Ray (EDX), Fourier-transform infrared spectroscopy (FTIR), and X-Ray diffraction (XRD). The experiments with different parameters such as pH, adsorbent dosage, and initial concentration were designed. Two artificial intelligence methods, including the fuzzy inference system (FIS) and adaptive neuro-fuzzy inference system (ANFIS) were used to model for predicting the percentage of CTX removal. The mean recovery value was found to be 100.03% and 100.0006% for FIS and ANFIS, respectively. Root mean square error (RMSE) and mean absolute percentage error (MAPE) were 0.1291, 0.0384% and 0.0026, 0.0105% for FIS and ANFIS, respectively. These results represent that both FIS and ANFIS models are capable of predicting the removal percentage of CTX with high precision and accuracy. It can also be said that the ANFIS model indicated a higher predictive ability than the FIS model based on the good agreement with predicting values of experimental data. The nZVI/SrFe12O19 can be used effectively to overcome contamination problems posed by antibiotics in the environment.
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