Application of machine/statistical learning, artificial intelligence and statistical experimental design for the modeling and optimization of methylene blue and Cd(ii) removal from a binary aqueous solution by natural walnut carbon

Physical Chemistry Chemical Physics

Volumn 19, Issue 18, 2017, Pages 11299-11317

  Mazaheri, H ^a   Ghaedi, M ^a   Ahmadi Azqhandi, M H ^a   Asfaram, A ^a  

^a YASOUJ UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85024389899     PISSN: 14639076     EISSN: None     Source Type: Journal    
DOI: 10.1039/c6cp08437k     Document Type: Article

References (43)

1. T. A. Nguyen C.-C. Fu R.-S. Juang Effective removal of sulfur dyes from water by biosorption and subsequent immobilized laccase degradation on crosslinked chitosan beads Chem. Eng. J. 2016 304 313 324
2. B. Ismail S. T. Hussain S. Akram Adsorption of methylene blue onto spinel magnesium aluminate nanoparticles: adsorption isotherms, kinetic and thermodynamic studies Chem. Eng. J. 2013 219 395 402
3. M. H. A. Azqhandi F. Rajabi M. Keramati Synthesis of Cd doped ZnO/CNT nanocomposite by using microwave method: Photocatalytic behavior, adsorption and kinetic study Results Phys. 2017 7 1106 1114
4. F.-H. Yuan C. Song X.-F. Sun L.-R. Tan Y.-K. Wang S.-G. Wang Adsorption of Cd(ii) from aqueous solution by biogenic selenium nanoparticles RSC Adv. 2016 6 15201 15209
5. 2+ removal from water Chem. Eng. J. 2015 281 69 80
6. R. Liu F. Liu C. Hu Z. He H. Liu J. Qu Simultaneous removal of Cd(ii) and Sb(v) by Fe-Mn binary oxide: positive effects of Cd(ii) on Sb(v) adsorption J. Hazard. Mater. 2015 300 847 854
7. J. I. Kumar C. Oommen Removal of heavy metals by biosorption using freshwater alga Spirogyra hyalina J. Environ. Biol. 2012 33 27 31
8. N. Koshy D. N. Singh Fly ash zeolites for water treatment applications J. Environ. Chem. Eng. 2016 4 1460 1472
9. T. Maneerung J. Liew Y. Dai S. Kawi C. Chong C. H. Wang Activated carbon derived from carbon residue from biomass gasification and its application for dye adsorption: kinetics, isotherms and thermodynamic studies Bioresour. Technol. 2016 200 350 359
10. M. Saif Ur Rehman I. Kim N. Rashid M. Adeel Umer M. Sajid J.-I. Han Adsorption of Brilliant Green Dye on Biochar Prepared From Lignocellulosic Bioethanol Plant Waste Clean: Soil, Air, Water 2016 44 55 62
11. L. Elci M. Soylak M. Dogan Preconcentration of trace metals in river waters by the application of chelate adsorption on Amberlite XAD-4 Fresenius' J. Anal. Chem. 1992 342 175 178
12. M. A. Habila Z. A. ALOthman S. A. Al-Tamrah A. A. Ghafar M. Soylak Activated carbon from waste as an efficient adsorbent for malathion for detection and removal purposes J. Ind. Eng. Chem. 2015 32 336 344
13. D. Ozdes A. Gundogdu B. Kemer C. Duran H. B. Senturk M. Soylak Removal of Pb(ii) ions from aqueous solution by a waste mud from copper mine industry: equilibrium, kinetic and thermodynamic study J. Hazard. Mater. 2009 166 1480 1487
14. R. H. Gangupomu M. L. Sattler D. Ramirez Comparative study of carbon nanotubes and granular activated carbon: physicochemical properties and adsorption capacities J. Hazard. Mater. 2016 302 362 374
15. O. Pezoti A. L. Cazetta K. C. Bedin L. S. Souza R. P. Souza S. R. Melo V. C. Almeida Percolation as new method of preparation of modified biosorbents for pollutants removal Chem. Eng. J. 2016 283 1305 1314
16. Y. Zhang B. Pan Modeling batch and column phosphate removal by hydrated ferric oxide-based nanocomposite using response surface methodology and artificial neural network Chem. Eng. J. 2014 249 111 120
17. F. Najafi O. Moradi M. Rajabi M. Asif I. Tyagi S. Agarwal V. K. Gupta Thermodynamics of the adsorption of nickel ions from aqueous phase using graphene oxide and glycine functionalized graphene oxide J. Mol. Liq. 2015 208 106 113
18. D. Robati B. Mirza M. Rajabi O. Moradi I. Tyagi S. Agarwal V. Gupta Removal of hazardous dyes-BR 12 and methyl orange using graphene oxide as an adsorbent from aqueous phase Chem. Eng. J. 2016 284 687 697
19. W. Zhang Z. Du D. Zhang S. Yu Y. Hao Boosted regression tree model-based assessment of the impacts of meteorological drivers of hand, foot and mouth disease in Guangdong, China Sci. Total Environ. 2016 553 366 371
20. B. T. Nolan M. N. Fienen D. L. Lorenz A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA J. Hydrol. 2015 531 902 911
21. x are influenced by the background levels, traffic density, and meteorological conditions using Boosted Regression Trees Atmos. Environ. 2016 127 163 175
22. L. Breiman Arcing classifier (with discussion and a rejoinder by the author) Ann. Stat. 1998 26 801 849
23. C. Cortés-Lorenzo A. González-Martínez H. Smidt J. González-López B. Rodelas Influence of salinity on fungal communities in a submerged fixed bed bioreactor for wastewater treatment Chem. Eng. J. 2016 285 562 572
24. J. F. Honorio M. T. Veit C. Goncalves Gda E. A. de Campos M. R. Fagundes-Klen Adsorption of reactive blue BF-5G dye by soybean hulls: kinetics, equilibrium and influencing factors Water Sci. Technol. 2016 73 1166 1174
25. G. G. Sonai S. M. de Souza D. de Oliveira A. A. de Souza The application of textile sludge adsorbents for the removal of Reactive Red 2 dye J. Environ. Manage. 2016 168 149 156
26. S. Porhemmat A. R. Rezvani M. Ghaedi M. H. Ahmadi Azqhandi A. A. Bazrafshan Nanocomposites: synthesis, characterization and its application to removal azo dyes using ultrasonic assisted method: modeling and Optimization Ultrason. Sonochem. 2017 38 530 543
27. 2 reforming of CH4 over Ni-Co/MSN for syngas production: role of Co as a binder and optimization using RSM Chem. Eng. J. 2016 295 1 10
28. D. G. Garson, Interpreting neural network connection weights, 1991
29. K. V. Rao P. Murthy Modeling and optimization of tool vibration and surface roughness in boring of steel using RSM, ANN and SVM J. Intell. Manuf. 2016 1 11
30. S. Fukuda W. Spreer E. Yasunaga K. Yuge V. Sardsud J. Müller Random Forests modelling for the estimation of mango (Mangifera indica L. cv. Chok Anan) fruit yields under different irrigation regimes Agric. Water Manage. 2013 116 142 150
31. J. B. Ghasemi H. Tavakoli Application of random forest regression to spectral multivariate calibration Anal. Methods 2013 5 1863 1871
32. V. Svetnik A. Liaw C. Tong J. C. Culberson R. P. Sheridan B. P. Feuston Random forest: a classification and regression tool for compound classification and QSAR modeling J. Chem. Inf. Comput. Sci. 2003 43 1947 1958
33. R. G. Brereton G. R. Lloyd Support vector machines for classification and regression Analyst 2010 135 230 267
34. G. Ridgeway, Package gbm: generalized boosted regression models. Version 1.6. 3.2, R Foundation for Statistical Computing Vienna, Austria, 2012
35. G. De'Ath Boosted trees for ecological modeling and prediction Ecology 2007 88 243 251
36. J. H. Friedman Greedy function approximation: a gradient boosting machine Ann. Stat. 2001 1189 1232
37. T. Hastie R. Tibshirani J. Friedman J. Franklin The elements of statistical learning: data mining, inference and prediction Math. Intell. 2005 27 83 85
38. L. Breiman Random forests Mach. Learn. 2001 45 5 32
39. J. Elith J. R. Leathwick T. Hastie A working guide to boosted regression trees J. Anim. Ecol. 2008 77 802 813
40. S. Varala B. Dharanija B. Satyavathi V. V. Basava Rao R. Parthasarathy New biosorbent based on deoiled karanja seed cake in biosorption studies of Zr(iv): optimization using Box-Behnken method in response surface methodology with desirability approach Chem. Eng. J. 2016 302 786 800
41. G. Derringer Simultaneous optimization of several response variables J. Qual. Technol. 1980 12 214 219
42. A. Sarve S. S. Sonawane M. N. Varma Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN) Ultrason. Sonochem. 2015 26 218 228
43. H. Askari M. Ghaedi K. Dashtian M. H. A. Azghandi Rapid and high-capacity ultrasonic assisted adsorption of ternary toxic anionic dyes onto MOF-5-activated carbon: artificial neural networks, partial least squares, desirability function and isotherm and kinetic study Ultrason. Sonochem. 2017 37 71 82