Modeling of phenol removal from water by NiFe2O4 nanocomposite using response surface methodology and artificial neural network techniques

Optimization of the photocatalytic degradation of phenol using superparamagnetic iron oxide (Fe3O4) nanoparticles in aqueous solutions

“…The photocatalytic process was optimized using (Fe 3 O 4 ) superparamagnetic nanoparticles to remove phenol from an aqueous solution by CCD in RSM. We studied the impact of the oxidation process parameters, the molar ratio of UV/SPIONs (1-3), pH (3)(4)(5)(6)(7), contact time (30-90 min), and initial phenol concentration (20-80 mg L −1 ). Using CCD RSM, the interaction of optimal conditions and process parameters was investigated.…”

“…1,2 There is a wide range of industries that extensively use phenols, including petrochemicals, phenolic resin production, oil reneries, textiles, paints, plastics, paper, and steel. 3,4 The discharge of such untreated organic pollutants into the environment is critical because their low concentrations harm organisms, and most of these substances have been recognized as hazardous pollutants by the European Commission and the US Environmental Protection Agency. [5][6][7] Also, contaminated water in the human body can result in central nervous system paralysis and threaten the liver, pancreas, and kidneys.…”

Decolorisation of textile wastewater using biosynthesised iron oxide nanomaterials and Optimisation by Response Surface Methodology

“…Diverse physicochemical and biological techniques, such as membrane separation, chemical precipitation, adsorption, electrochemical degradation, advanced oxidation processes, and others, were used to treat and remove colours from textile effluent. [6][7] However, the majority of those methods are expensive because they require a lot of energy and chemicals, and frequently the treatment is ineffective. Adsorption technique based on adsorbents is a cost-effective and promising alternative.…”