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Modeling and Optimization of Adsorption Removal of Reactive Orange 13 on the Alginate–Montmorillonite–Polyaniline Nanocomposite via Response Surface Methodology
Author(s) -
Ayazi Zahra,
Khoshhesab Zahra Monsef,
Azhar Fahimeh Farshi,
Mohajeri Zahra
Publication year - 2017
Publication title -
journal of the chinese chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 45
eISSN - 2192-6549
pISSN - 0009-4536
DOI - 10.1002/jccs.201600876
Subject(s) - adsorption , montmorillonite , polyaniline , response surface methodology , nanocomposite , chemistry , langmuir adsorption model , central composite design , chemical engineering , polymerization , aniline , methyl orange , in situ polymerization , nuclear chemistry , chromatography , polymer , organic chemistry , photocatalysis , catalysis , engineering
In this work, an alginate–montmorillonite–polyaniline (Alg– MMT–PANI ) nanocomposite (NC) was synthesized and applied for the adsorptive removal of reactive Orange 13 ( RO13 ) as a model azo dye compound. The Alg– MMT–PANI NC was prepared by the polymerization of aniline in the presence of Alg– MMT hybrid through in situ polymerization. The optimization and modeling of the removal process was carried out using the response surface methodology ( RSM ) based on central composite design ( CCD ). Important parameters influencing the adsorption removal of RO13 , including the initial concentration of RO13 , pH , adsorbent dose, and contact time, were selected as input variables for RSM . Furthermore, the adsorption kinetic studies revealed that the experimental data best fitted with a pseudo‐second‐order model. Additionally, adsorption isotherm studies revealed that the obtained data were well fitted to the Langmuir isotherm model and, accordingly, the maximum adsorption capacity, q m , was obtained at level of 111.111 mg/g.