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Empirical modeling and CCD-based RSM optimization of Cd(II) adsorption from aqueous solution on clinoptilolite and bentonite

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Abstract

In the present study, adsorption of Cd(II) ion from an aqueous solution on natural clinoptilolite (NC), natural bentonite (NB), modified clinoptilolite (MC) and modified bentonite (MB) were investigated. Response surface methodology (RSM) and central composite design (CCD) were used for NC and NB in order to investigate the effect of pH and contact time on adsorption efficiency and process optimization. Based on statistical analysis, the Cd(II) adsorption model was highly significant, with very low p-values. pH’s 5.35 and 3.89, and contact times 20.49 and 16.27 h, with adsorption efficiency 94.86% and 87.42%, were found to be optimum for Cd(II) ion adsorption on NC and NB, respectively. The experimental data was fitted to adsorption isotherm models, indicating the monolayer sorption of Cd(II). The Jossesns, Unilan, Baudu, and Freundlich models were selected as the best models, with correlation coefficients of 0.8973, 0.9930, 0.9267, and 0.9723, and with lowest error for NC, NB, MC, and MB, respectively, with negligible differences compared to the experimental values. The results showed that the NC adsorption efficiency is higher than NB in both cases.

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References

  1. Huang, Y., Wu, D., Wang, X., Huang, W., Lawless, D., and Feng, X., Separ. Purif. Technol., 2016, vol. 158, pp. 124–136.

    Article  CAS  Google Scholar 

  2. Zhou, G., Luo, J., Liu, Ch., Chu, L., Ma, J., Tang, Y., Zeng, Z., and Luo, Sh., Water. Research., 2016, vol. 89, pp. 151–160.

    Article  CAS  Google Scholar 

  3. Mahmoud, M.R., Lazaridis, N.K., and Matis, K.A., Process. Safe. Environ. Protect., 2015, vol. 94, pp. 203–211.

    Article  CAS  Google Scholar 

  4. Moubarik, A. and Grimi. N., Food. Research. International. 2015, vol. 73, pp. 169–175.

    Article  CAS  Google Scholar 

  5. Guo, H., Zhang, Sh., Kou, Z., Zhai, Sh., Ma, W., and Yang, Y., Carbohydrate. Polymers, 2015, vol. 115, pp. 177–185.

    Article  CAS  Google Scholar 

  6. Nezamzadeh-Ejhieh, A. and Kabiri-Samani, M., J. Hazard. Mater. 2013, vol. 260, pp. 339–349.

    Article  CAS  Google Scholar 

  7. Borandegi, M. and Nezamzadeh-Ejhieh, A., Colloids. Surfaces A: Physicochem. Eng. Aspects, 2015, vol. 479, pp. 35–45.

    Article  CAS  Google Scholar 

  8. Ztas, N.A. O., Karabakan, A., and Topal, O., Microporous. Mesoporous. Mater., 2008, vol. 111, pp. 200–205.

    Article  Google Scholar 

  9. Huang, R. Zhang, L. Hu, P., and Wang. J., International. J. Biological. Macromolecules, 2016, vol. 86, pp. 496–504.

    Article  CAS  Google Scholar 

  10. Pawar, R.R., Bajaj, L.H.C., and Lee, S.M., J. Indust. Eng. Chem., 2016, vol. 34, p.213.

    Article  CAS  Google Scholar 

  11. Meng, R. and Yu, X., Applied. Clay Science, 2011, vol. 54, pp. 112–117.

    Article  CAS  Google Scholar 

  12. Podstawczyk, D., Witek-Krowiak, A., Dawiec, A., and Bhatnagar, A., Ecolog. Eng., 2015, vol. 83, 364–379.

    Article  Google Scholar 

  13. Shojaeimehr, T., Rahimpour, F., Khadivi, M.A., and Sadeghi, M. J. Industrial. Eng. Chem., 2014, vol. 20, pp. 870–880.

    Article  CAS  Google Scholar 

  14. Murugesan, A., Vidhyadevi, T., Kalaivani, S.S., Thiruvengadaravi, K.V. Ravikumar, L., Anuradha, C.D., and Sivanesan, S., J. Water. Process. Eng., 2014, vol. 3, pp. 132–143.

    Article  Google Scholar 

  15. Gutierrez-Muñiz, O., García-Rosales, G., Ordoñez-Regil, E., Olguin, M. And Cabral-Prieto, A., J. Environment. Management, 2013, vol. 114, pp. 1–7.

    Article  Google Scholar 

  16. Ren, J., Bopape, M.F., Setshedi, K., and Kitinya, J.O., Chem. Indust. Chem. Eng. Quarter, 2012, vol. 18, pp. 221–231.

    Article  CAS  Google Scholar 

  17. Saadi, R., Saadi, Z., Fazaeli, R., and Elmi Fard, N., Korean J. Chem. Eng., 2015, vol. 32, pp. 787–799.

    Article  CAS  Google Scholar 

  18. Porter, J., McKay, J., and Choy, K., Chem. Eng. Sci., 1999, vol. 54, pp. 5863–5885.

    Article  CAS  Google Scholar 

  19. Marquardt, D.W., J. Soc. Ind. Appl. Math., 1963, vol. 11, pp. 431–441.

    Article  Google Scholar 

  20. Kapoor, A. and Yang, R.T., Purif., 1989, vol. 3, pp. 187–192.

    CAS  Google Scholar 

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Authors and Affiliations

  1. Department of Chemical Engineering, Faculty of Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

    Negar Kashi & Reza Fazaeli

  2. Young Researchers and Elite Club, South Tehran Branch, Islamic Azad University, Tehran, Iran

    Narges Elmi Fard

Authors
  1. Negar Kashi
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  2. Narges Elmi Fard
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  3. Reza Fazaeli
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Correspondence to Reza Fazaeli.

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Kashi, N., Elmi Fard, N. & Fazaeli, R. Empirical modeling and CCD-based RSM optimization of Cd(II) adsorption from aqueous solution on clinoptilolite and bentonite. Russ J Appl Chem 90, 977–992 (2017). https://doi.org/10.1134/S1070427217060210

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  • DOI: https://doi.org/10.1134/S1070427217060210

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