Work

Optimization of arsenite adsorption on hydroxy apatite based adsorbent using the adaptive neuro-fuzzy inference system

Year: 2019

Type: article

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.

Source: Vojnotehnicki glasnik

DOI: 10.5937/vojtehg67-21519

Authors: Zoran Bajić, Dragan Pamučar, Jovica Bogdanov, Mihael Bučko, Zlate Veličković

Institution: University of Defence

Language: English

Topic: Arsenic contamination and mitigation

Subfield: Environmental Chemistry

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Responsible consumption and production

Open Access status: diamond

Funder: Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja