Title of article
OPTIMIZATION OF ARSENITE ADSORPTION ON HYDROXY APATITE BASED ADSORBENT USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
Author/Authors
Bajić ، Zoran J. Department for Military Chemical Engineering - Military Academy - University of Defense in Belgrade , Pamučar ، Dragan S. Department for Logistics - Military Academy - University of Defense in Belgrade , Bogdanov ، Jovica Đ. Department for Military Chemical Engineering - Military Academy - University of Defense in Belgrade , Bučko ، Mihael M. Department for Military Chemical Engineering - Military Academy - University of Defense in Belgrade , Veličković ، Zlate S. Department for Military Chemical Engineering - Military Academy - University of Defense in Belgrade
From page
735
To page
752
Abstract
This paper describes an optimization procedure for the adsorption of arsenite ions from wastewater using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The adsorbent is based on hydroxy apatite, a natural material obtained from carp (Cyprinus carpio) scales. The input parameters were the influence of pH, the temperature, the initial concentration and reaction time of arsenite adsorption while the adsorption capacity and the arsenite removal percentage were studied as the output parameters.
Keywords
arsenite , adsorption , carp scales , hydroxy apatite , adsorbent , ANFIS
Journal title
Military Technical Courier
Journal title
Military Technical Courier
Record number
2509113
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