Advertisement

Regression analysis and artificial intelligence for removal of methylene blue from aqueous solutions using nanoscale zero-valent iron

  • A. Hamdy
  • M. K. MostafaEmail author
  • M. Nasr
Original Paper
  • 194 Downloads

Abstract

This study attempted to investigate the adsorption of methylene blue (MB) onto nanoscale zero-valent iron (nZVI) from aqueous solutions and to determine the correlation between experimental factors and dye removal efficiency. The adsorption mechanism was discussed in combination with results obtained from transmission electron microscopy, X-ray diffraction, and scanning electron microscopy. Results indicated that at pH 6, nZVI dosage 10 g L−1, initial MB concentration 10 mg L−1, temperature 30 °C, and stirring rate 150 rpm, the equilibrium time was 30 min achieving a removal efficiency of approximately 100%. The adsorption data of MB fitted well to Freundlich isotherm (r2: 0.9358) and pseudo-second-order kinetic model (r2: 0.9976). Response surface methodology (RSM) was developed to visualize the effects of independent factors on the adsorption efficiency. The curves of pH, stirring rate, and reaction time were quadratic linear concave up, whereas nZVI dosage attained a linear up plot. Additionally, artificial neural network (ANN) with a structure of 6–10–1 was used to predict the MB removal efficiency. It was revealed that the ANN model (r2: 0.9313) was more accurate than the RSM model (r2: 0.6316) in describing the adsorption of MB onto nZVI. Sensitivity analysis using the connection weights method showed that the reaction time was the most influential parameter with a relative importance of 22.77%. These advanced modeling techniques could be applied to maximize the performance of nZVI for treating dye-contaminated water under different environmental conditions.

Keywords

Adsorption Artificial neural network Cationic dye Iron nanoparticles Isotherms and kinetics 

Notes

Acknowledgements

This research was supported by the Egyptian Housing and Building National Research Center (HBRC), Environmental Engineering Program, Zewail City of Science and Technology.

Compliance with ethical standards

The authors declare that they have no conflict of interest.

Supplementary material

13762_2018_1677_MOESM1_ESM.docx (23 kb)
Supplementary material 1 (DOCX 22 kb)
13762_2018_1677_MOESM2_ESM.docx (233 kb)
Supplementary material 2 (DOCX 232 kb)
13762_2018_1677_MOESM3_ESM.docx (106 kb)
Supplementary material 3 (DOCX 106 kb)
13762_2018_1677_MOESM4_ESM.docx (918 kb)
Supplementary material 4 (DOCX 918 kb)

References

  1. Agarwal S, Tyagi I, Gupta VK, Ghasemi N, Shahivand M, Ghasemi M (2016) Kinetics, equilibrium studies and thermodynamics of methylene blue adsorption on Ephedra strobilacea saw dust and modified using phosphoric acid and zinc chloride. J Mol Liq 218:208–218.  https://doi.org/10.1016/j.molliq.2016.02.073 CrossRefGoogle Scholar
  2. Alalm MG, Nasr M, Ookawara S (2016) Assessment of a novel spiral hydraulic flocculation/sedimentation system by CFD simulation, fuzzy inference system, and response surface methodology. Sep Purif Technol 169:137–150.  https://doi.org/10.1016/j.seppur.2016.06.019 CrossRefGoogle Scholar
  3. Alexander L, Klug HP (1950) Determination of crystallite size with the X-ray spectrometer. J Appl Phys 21:137–142.  https://doi.org/10.1063/1.1699612 CrossRefGoogle Scholar
  4. Arabi S, Sohrabi MR (2014) Removal of methylene blue, a basic dye, from aqueous solutions using nano-zerovalent iron. Water Sci Technol 70(1):24–31.  https://doi.org/10.2166/wst.2014.189 CrossRefGoogle Scholar
  5. Bulut Y, Aydın H (2006) A kinetics and thermodynamics study of methylene blue adsorption on wheat shells. Desalination 194:259–267.  https://doi.org/10.1016/j.desal.2005.10.032 CrossRefGoogle Scholar
  6. Chatterjee S, Lim S-R, Woo SH (2010) Removal of Reactive Black 5 by zero-valent iron modified with various surfactants. Chem Eng J 160(1):27–32.  https://doi.org/10.1016/j.cej.2010.02.045 CrossRefGoogle Scholar
  7. Chen D, Zeng Z, Zeng Y, Zhang F, Wang M (2016) Removal of methylene blue and mechanism on magnetic γ-Fe2O3/SiO2 nanocomposite from aqueous solution. Water Resour Ind 15:1–13.  https://doi.org/10.1016/j.wri.2016.05.003 CrossRefGoogle Scholar
  8. Demuth H, Beale M, Hagan M (2007) Neural network toolbox 5: users guide. The MathWorks Inc, NatickGoogle Scholar
  9. Djenouhat M, Hamdaoui O, Chiha M, Samar MH (2008) Ultrasonication-assisted preparation of water-in-oil emulsions and application to the removal of cationic dyes from water by emulsion liquid membrane Part 2. Permeation and stripping. Sep Purif Technol 63:231–238.  https://doi.org/10.1016/j.seppur.2008.05.005 CrossRefGoogle Scholar
  10. Freundlich HMF (1906) Over the adsorption in solution. J Phys Chem 57:385–470Google Scholar
  11. Garg VK, Amita M, Kumar R, Gupta R (2004) Basic dye (methylene blue) removal from simulated wastewater by adsorption using Indian Rosewood sawdust: a timber industry waste. Dyes Pigments 63(3):243–250.  https://doi.org/10.1016/j.dyepig.2004.03.005 CrossRefGoogle Scholar
  12. Garson GD (1991) Interpreting neural network connection weights. Artif Intell Expert 6(4):47–51Google Scholar
  13. Ho YS, Mckay G (1999) Pseudo-second order model for sorption processes. Process Biochem 34:451–465.  https://doi.org/10.1016/S0032-9592(98)00112-5 CrossRefGoogle Scholar
  14. Hu XJ, Wang JS, Liu YG, Li X, Zeng GM, Bao ZL, Zeng XX, Chen AW, Long F (2011) Adsorption of chromium (VI) by ethylenediamine-modified cross-linked magnetic chitosan resin: isotherms, kinetics and thermodynamics. J Hazard Mater 185(1):306–314.  https://doi.org/10.1016/j.jhazmat.2010.09.034 CrossRefGoogle Scholar
  15. Ismail B, Hussain ST, Akram S (2013) Adsorption of methylene blue onto spinel magnesium aluminate nanoparticles: adsorption isotherms, kinetic and thermodynamic studies. Chem Eng J 219:395–402.  https://doi.org/10.1016/j.cej.2013.01.034 CrossRefGoogle Scholar
  16. Karthikeyan T, Rajgopal S, Miranda LR (2005) Chromium(VI) adsorption from aqueous solution by Hevea Brasilinesis sawdust activated carbon. J Hazard Mater 124(1–3):192–199.  https://doi.org/10.1016/j.jhazmat.2005.05.003 CrossRefGoogle Scholar
  17. Kavitha D, Namasivayam C (2007) Experimental and kinetic studies on methylene blue adsorption by coir pith carbon. Bioresour Technol 98:14–21.  https://doi.org/10.1016/j.biortech.2005.12.008 CrossRefGoogle Scholar
  18. Khataee AR, Kasiri MB (2011) Modeling of biological water and wastewater treatment processes using artificial neural networks. Clean (Weinh) 39(8):742–749.  https://doi.org/10.1002/clen.201000234 Google Scholar
  19. Khosravi M, Arabi S (2016) Application of response surface methodology (RSM) for the removal of methylene blue dye from water by nano zero-valent iron (NZVI). Water Sci Technol 74(2):343–352.  https://doi.org/10.2166/wst.2016.122 CrossRefGoogle Scholar
  20. Lagergren S (1898) Zur theorie der sogenannten adsorption gelöster stoffe, Kungliga Svenska Vetenskapsakademiens. Handlingar 24(4):1–39Google Scholar
  21. Langmuir I (1918) The adsorption of gases on plane surfaces of glass, mica and platinium. J Am Chem Soc 40:1361–1403.  https://doi.org/10.1021/ja02242a004 CrossRefGoogle Scholar
  22. Li XQ, Elliott DW, Zhang WX (2006) Zero-valent iron nanoparticles for abatement of environmental pollutants. Crit Rev Solid State 31:111–122.  https://doi.org/10.1080/10408430601057611 CrossRefGoogle Scholar
  23. Li X, Zhang M, Liu Y, Li X, Liu Y, Hua R, He C (2013a) Removal of U(VI) in aqueous solution by nanoscale zero-valent iron (nZVI). Water Qual Expo Health 5(1):31–40.  https://doi.org/10.1007/s12403-013-0084-4 CrossRefGoogle Scholar
  24. Li Y, Du Q, Liu T, Peng X, Wang J, Sun J, Wang Y, Wu S, Wang Z, Xia Y, Xia L (2013b) Comparative study of methylene blue dye adsorption onto activated carbon, graphene oxide, and carbon nanotubes. Chem Eng Res Des 91(2):361–368.  https://doi.org/10.1016/j.cherd.2012.07.007 CrossRefGoogle Scholar
  25. Lin Y-T, Weng C-H, Chen F-Y (2008) Effective removal of AB24 dye by nano/micro-size zero-valent iron. Sep Purif Technol 64(1):26–30.  https://doi.org/10.1016/j.seppur.2008.08.012 CrossRefGoogle Scholar
  26. Mittal H, Ray SS (2016) A study on the adsorption of methylene blue onto gum ghatti/TiO2 nanoparticles-based hydrogel nanocomposite. Int J Biol Macromol 88:66–80.  https://doi.org/10.1016/j.ijbiomac.2016.03.032 CrossRefGoogle Scholar
  27. Nasr M, Zahran HF (2014) Using of pH as a tool to predict salinity of groundwater for irrigation purpose using artificial neural network. Egypt J Aquat Res 40(2):111–115.  https://doi.org/10.1016/j.ejar.2014.06.005 CrossRefGoogle Scholar
  28. Nasr M, Moustafa M, Seif H, El Kobrosy G (2012) Application of artificial neural network (ANN) for the prediction of EL-AGAMY wastewater treatment plant performance-EGYPT. Alex Eng J 51(1):37–43.  https://doi.org/10.1016/j.aej.2012.07.005 CrossRefGoogle Scholar
  29. Onal Y, Akmil-Basar C, Eren D, Sarici-Ozdemir C, Depci T (2006) Adsorption kinetics of malachite green onto activated carbon prepared from Tunçbilek lignite. J Hazard Mater 128(2–3):150–157.  https://doi.org/10.1016/j.jhazmat.2005.07.055 CrossRefGoogle Scholar
  30. Ostertagová E (2012) Modelling using polynomial regression. Procedia Eng 48:500–506.  https://doi.org/10.1016/j.proeng.2012.09.545 CrossRefGoogle Scholar
  31. Petala E, Dimos K, Douvalis A, Bakas T, Tucek J, Zbořil R, Karakassides MA (2013) Nanoscale zero-valent iron supported on mesoporous silica: characterization and reactivity for Cr(VI) removal from aqueous solution. J Hazard Mater 261:295–306.  https://doi.org/10.1016/j.jhazmat.2013.07.046 CrossRefGoogle Scholar
  32. Rahimi S, Poormohammadi A, Salmani B, Ahmadian M, Rezaei M (2016) Comparing the photocatalytic process efficiency using batch and tubular reactors in removal of methylene blue dye and COD from simulated textile wastewater. J Water Reuse Desalin 6(4):574–582.  https://doi.org/10.2166/wrd.2016.190 CrossRefGoogle Scholar
  33. Ranasinghe RATM, Jaksa MB, Kuo YL, Pooya Nejad F (2017) Application of artificial neural networks for predicting the impact of rolling dynamic compaction using dynamic cone penetrometer test results. JRMGE 9:340–349Google Scholar
  34. Saha P (2010) Assessment on the removal of methylene blue dye using tamarind fruit shell as biosorbent. Water Air Soil Pollut 213(1):287–299.  https://doi.org/10.1007/s11270-010-0384-2 CrossRefGoogle Scholar
  35. Senthilkumaar S, Varadarajan PR, Porkodi K, Subbhuraam CV (2005) Adsorption of methylene blue onto jute fiber carbon: kinetics and equilibrium studies. J Colloid Interface Sci 284:78–82.  https://doi.org/10.1016/j.jcis.2004.09.027 CrossRefGoogle Scholar
  36. Shaffiqu TS, Roy JJ, Nair RA, Abraham TE (2002) Degradation of textile dyes mediated by plant peroxidases. Appl Biochem Biotechnol 102(1):315–326.  https://doi.org/10.1385/ABAB:102-103:1-6:315 CrossRefGoogle Scholar
  37. Shih Y, Hsu C, Su Y (2011) Reduction of hexachlorobenzene by nanoscale zero-valent iron: kinetics, pH effect, and degradation mechanism. Sep Purif Technol 76(3):268–274.  https://doi.org/10.1016/j.seppur.2010.10.015 CrossRefGoogle Scholar
  38. Shin M-C, Choi H-D, Kim D-H, Baek K (2008) Effect of surfactant on reductive dechlorination of trichloroethylene by zero-valent iron. Desalination 223(1–3):299–307.  https://doi.org/10.1016/j.desal.2007.01.223 CrossRefGoogle Scholar
  39. Shukla A, Zhang YH, Dubey P, Margrave JL, Shukla SS (2002) The role of sawdust in the removal of unwanted materials from water. J Hazard Mater 95(1–2):137–152.  https://doi.org/10.1016/S0304-3894(02)00089-4 CrossRefGoogle Scholar
  40. Sun X, Kurokawa T, Suzuki M, Takagi M, Kawase Y (2015) Removal of cationic dye methylene blue by zero-valent iron: effects of pH and dissolved oxygen on removal mechanisms. J Environ Sci Heal A 50(10):1057–1071.  https://doi.org/10.1080/10934529.2015.1038181 CrossRefGoogle Scholar

Copyright information

© Islamic Azad University (IAU) 2018

Authors and Affiliations

  1. 1.Sanitary and Environmental Engineering Research InstituteHousing and Building National Research CenterGizaEgypt
  2. 2.Environmental Engineering ProgramZewail City of Science and TechnologyGizaEgypt
  3. 3.Sanitary Engineering Department, Faculty of EngineeringAlexandria UniversityAlexandriaEgypt

Personalised recommendations