TY - JOUR
T1 - Modeling and Experimental Evaluation of Ni(II) and Pb(II) Sorption from Aqueous Solutions Using a Polyaniline/CoFeC6N6 Nanocomposite
AU - Moazezi, Nima
AU - Baghdadi, Majid
AU - Hickner, Michael A.
AU - Moosavian, Mohammad Ali
N1 - Funding Information:
*E-mail: [email protected]. Tel.: +98 (912) 299-1998. ORCID Nima Moazezi: 0000-0003-0555-7628 Funding The authors would like to thank the University of Tehran for providing the financial support for this project (ID: 0010708170). Notes The authors declare no competing financial interest.
Publisher Copyright:
© 2018 American Chemical Society.
PY - 2018/3/8
Y1 - 2018/3/8
N2 - Herein, a modified polyaniline nanocomposite containing CoFeC6N6 was prepared and tested for its sorption of Pb2+ and Ni2+ ions from aqueous solutions. The adsorbent was characterized by scanning electron microscopy, transmission electron microscopy, X-ray diffraction, Brunauer-Emmett-Teller and Fourier transform infrared analyses. The adsorption percentage increased with increasing CoFeC6N6 in the nanocomposite material. A pseudo-second-order model and Langmuir adsorption described the behavior of the material. Additionally, the adsorption capacity was increased by increasing the temperature. The prediction of concentrations was performed using a model based on pore diffusion and the implicit finite difference method. From a mass transfer standpoint, the best data set of De for Pb2+ (1.12 × 10-9 m2 s-1) and Ni2+ (0.98 × 10-13 m2 s-1) was determined.
AB - Herein, a modified polyaniline nanocomposite containing CoFeC6N6 was prepared and tested for its sorption of Pb2+ and Ni2+ ions from aqueous solutions. The adsorbent was characterized by scanning electron microscopy, transmission electron microscopy, X-ray diffraction, Brunauer-Emmett-Teller and Fourier transform infrared analyses. The adsorption percentage increased with increasing CoFeC6N6 in the nanocomposite material. A pseudo-second-order model and Langmuir adsorption described the behavior of the material. Additionally, the adsorption capacity was increased by increasing the temperature. The prediction of concentrations was performed using a model based on pore diffusion and the implicit finite difference method. From a mass transfer standpoint, the best data set of De for Pb2+ (1.12 × 10-9 m2 s-1) and Ni2+ (0.98 × 10-13 m2 s-1) was determined.
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U2 - 10.1021/acs.jced.7b00897
DO - 10.1021/acs.jced.7b00897
M3 - Article
AN - SCOPUS:85043504189
SN - 0021-9568
VL - 63
SP - 741
EP - 750
JO - Journal of Chemical and Engineering Data
JF - Journal of Chemical and Engineering Data
IS - 3
ER -