Cite
Adsorptive removal of cobalt(II) from aqueous solutions using multi-walled carbon nanotubes and γ-alumina as novel adsorbents: Modelling and optimization based on response surface methodology and artificial neural network.
MLA
Dehghani, Mohammad Hadi, et al. “Adsorptive Removal of Cobalt(II) from Aqueous Solutions Using Multi-Walled Carbon Nanotubes and γ-Alumina as Novel Adsorbents: Modelling and Optimization Based on Response Surface Methodology and Artificial Neural Network.” Journal of Molecular Liquids, vol. 299, Feb. 2020, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.molliq.2019.112154.
APA
Dehghani, M. H., Yetilmezsoy, K., Salari, M., Heidarinejad, Z., Yousefi, M., & Sillanpää, M. (2020). Adsorptive removal of cobalt(II) from aqueous solutions using multi-walled carbon nanotubes and γ-alumina as novel adsorbents: Modelling and optimization based on response surface methodology and artificial neural network. Journal of Molecular Liquids, 299, N.PAG. https://doi.org/10.1016/j.molliq.2019.112154
Chicago
Dehghani, Mohammad Hadi, Kaan Yetilmezsoy, Mehdi Salari, Zoha Heidarinejad, Mahmood Yousefi, and Mika Sillanpää. 2020. “Adsorptive Removal of Cobalt(II) from Aqueous Solutions Using Multi-Walled Carbon Nanotubes and γ-Alumina as Novel Adsorbents: Modelling and Optimization Based on Response Surface Methodology and Artificial Neural Network.” Journal of Molecular Liquids 299 (February): N.PAG. doi:10.1016/j.molliq.2019.112154.