Optimizing fluoride uptake influencing parameters of paper industry waste derived activated carbon

A Review of the Modeling of Adsorption of Organic and Inorganic Pollutants from Water Using Artificial Neural Networks

“…Other recent studies on the ANN modeling of adsorption isotherms and kinetics include the fluoride adsorption on rice husk-derived biochar modified with Fe or Zn [158], the removal of brilliant green dye using mesoporous Pd–Fe magnetic nanoparticles immobilized on reduced graphene oxide [15], the adsorption of diazinon pesticide on a magnetic composite clay/graphene oxide/Fe 3 O 4 [159], the removal of crystal violet and methylene blue on magnetic iron oxide nanoparticles loaded with cocoa pod carbon composite [160], the arsenide removal employing mesoporous CoFe 2 O 4 /graphene oxide nanocomposites [161], the adsorption of perfluorooctanoic acid on copper nanoparticles and fluorine-modified graphene aerogel [17], the uptake of dicamba (3,6-dichloro-2-methoxy benzoic acid) by MIL-101(Cr) metal-organic framework [16], the phosphorous adsorption on polyaluminum chloride water treatment residuals [162], the use of iron doped-rice husk for the chromium adsorption/reduction [163], the removal of methyl orange dye by an activated carbon derived from Acalypha indica leaves [164], the lead adsorption by a hydrochar obtained from the KOH activated Crocus sativus petals [165], the adsorption of the cefixime antibiotic using magnetic composite beads of reduced graphene oxide-chitosan [13], the use of graphene oxide-cyanuric acid nanocomposite for the lead adsorption [14], the arsenic removal by an adsorbent consisting of iron oxide incorporated carbonaceous nanomaterial derived from waste molasses [12], the fluoride adsorption by chemically activated carbon prepared from industrial paper waste [18], the methylene blue adsorption with polyvinyl alcohol/carboxymethyl cellulose-based hydrogels [166], the modeling of adsorption properties of biochar and resin for the removal of organic compounds [167], and the removal of lead from waster with a magnetic nanocomposite [168].…”

“…In particular, it is a proven and well-known technology for water purification due to its both technical and economic advantages [3][4][5][6][7]. The recent advances on adsorption for water treatment have mainly focused on the preparation and evaluation of new materials with outstanding adsorption capacities for the removal of different pollutants like dyes, heavy metals, geogenic compounds, pharmaceuticals, and other emerging toxic chemicals [8][9][10][11][12][13][14][15][16][17][18][19][20]. Actually, there is a wide spectrum of adsorbents that have been prepared and assessed to remove inorganic and organic compounds from aqueous solutions.…”

Phytic acid-modified waste paper-derived cellulose for lanthanum capture: fabrication concept and affinity mechanism

“…Ye, F. et al developed a method for oil–water separation using ammoniated waste paper, 28 Kadam, A. et al extracted α-cellulose-fibers from WP to repair CoO NPs, 29 and Mukherjee, S. et al prepared chemically activated WP to remove fluoride. 30 Tang, X. et al utilized a ZnCl 2 activation method to prepare WP biochar and successfully removed methylene blue using this material. 31 Researchers have investigated the adsorption of La( iii ) using hybrids, magnetic, and silica-based nano/composites.…”

Comparative study of artificial intelligence based multi‐modelling approach and optimization of photoreactor

“…In the literature, several data-based modelling techniques have been successfully developed to model complex catalytic reactors, namely, artificial neural network (ANN), support vector machine (SVM), and so forth. [5][6][7] Though ANN and SVM have widely been used in the last decade in almost all engineering fields, each modelling technique has its own strengths and weaknesses. ANN is considered an efficient modelling technique and is used in a wide range of scientific and engineering research areas due to its high prediction accuracy and capability of capturing non-linearity.…”