4.5 Article

Extensive sorption of Amoxicillin by highly efficient carbon-based adsorbent from palm kernel: Artificial neural network modeling

期刊

HELIYON
卷 9, 期 8, 页码 -

出版社

CELL PRESS
DOI: 10.1016/j.heliyon.2023.e18635

关键词

Adsorption; Agricultural waste; Wastewater treatment; Artificial neural network; Isotherm and kinetic study

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A new sorbent made from Palm kernel (PK) by dry thermochemical activation was used for the removal of Amoxicillin (AMX) from aqueous solution. The sorption efficacy was evaluated by analyzing the influence of pH, reaction time, adsorbent dosage, AMX concentration, and ionic strength. The highest AMX sorption was achieved using 1 g/L of sorbent at pH 5 and 60 minutes contact time. The study also investigated the isotherms and kinetics models, and found that the adsorption of AMX followed the Hill isotherm and Elovich model, respectively. Based on the ANN modeling, the dosage of MA-PK and contact time were identified as the most important parameters for AMX removal.
In the present study, a new sorbent was fabricated from Palm kernel (PK) by dry thermochemical activation with NaOH and characterized by FTIR, X-ray diffraction, FE-SEM and BET, which was used for the Amoxicillin (AMX) sorption from aqueous solution. The influence of effective parameters such as pH, reaction time, adsorbent dosage, AMX concentration and ionic strength on the sorption efficacy of AMX removal were evaluated. The main functional groups on the surface of the magnetic activated carbon of Palm Kernel (MA-PK) were C-C, C-O, C--O and hydroxyl groups. The specific surface of char, activated carbon Palm Kernel (AC-PK) and MA-PK were 4.3, 1648.8 and 1852.4 m2/g, respectively. The highest sorption of AMX (400 mg/L) was obtained by using 1 g/L of sorbent at solution pH of 5 after 60 min contact time, which corresponding to 98.77%. Non-linear and linear models of isotherms and kinetics models were studied. The data fitted well with Hill isotherm (R2 = 0.987) and calculated maximum sorption capacity were 719.07 and 512.27 mg/g from Hill and Langmuir, respectively. A study of kinetics shows that the adsorption of AMX follows the Elovich model with R2 = 0.9998. Based on the artificial neural network (ANN) modeling, the MA-PK dosage and contact time showed the most important parameters in the removal of AMX with relative importance of 36.5 and 25.7%, respectively. Lastly, the fabricated MA-PK was successfully used to remove the AMX from hospital wastewater.

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