Resumen

MARZBALI, Mojtaba Hedayati  y  ESMAIELI, Mohamad. Fixed bed adsorption of tetracycline on a mesoporous activated carbon: Experimental study and neuro-fuzzy modeling. J. appl. res. technol [online]. 2017, vol.15, n.5, pp.454-463. ISSN 2448-6736.  https://doi.org/10.1016/j.jart.2017.05.003.

This study investigates the use of synthesized mesoporous carbon in the fixed bed adsorption, as a promising process, to eliminate tetracycline from wastewater. In order to study the adsorptive capability of adsorbent, particles were embedded in a laboratory-scale Pyrex glass tube. An increase in initial concentration and decrease in bed height and flow rate led to the higher adsorption capacity. The highest bed capacity of 76.97 mg g−1 was obtained using 4 cm bed depth, 4 mL min−1 and 50 mg L−1 influent concentration. The initial part of breakthrough curve perfectly matched the Adams-Bohart model at all experimental conditions. However, it was anticipated that Yoon-Nelson model could predict the whole curve acceptably, the results showed an inaccurate fitting. Therefore, the adaptive neuro-fuzzy inference system (ANFIS) was used to predict the breakthrough curve using data series of adsorption experiments. This model indicated a good statistical prediction in terms of relative errors.

Palabras llave : Apricot shell; Tetracycline; Column adsorption; Machine learning; Neuro-fuzzy.