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Preparation of cationic functional starch/Na + ‐MMT composite and its application for effective removal of three hazardous metal anionic ions with different valence
Author(s) -
Xing Guoxiu,
Liu Shili,
Tang Yangfei,
Jiang Hua,
Liu Quanwen
Publication year - 2014
Publication title -
starch ‐ stärke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.62
H-Index - 82
eISSN - 1521-379X
pISSN - 0038-9056
DOI - 10.1002/star.201300250
Subject(s) - cationic polymerization , adsorption , langmuir adsorption model , freundlich equation , metal ions in aqueous solution , monolayer , chemistry , inorganic chemistry , composite number , montmorillonite , valence (chemistry) , langmuir , metal , materials science , polymer chemistry , organic chemistry , composite material , biochemistry
The design of cost‐effective biopolymers‐based adsorbents is of particular interest. In our work, a cationic functional starch (CFS)/Na + ‐montmorillonite (Na + ‐MMT) composite was prepared by combining 5 wt% modified starch containing quaternary ammonium cationic functional groups and 0.5% w/v Na + ‐MMT dispersed solution together. Its microstructure was characterized by FTIR and XRD. Removal of three metal anionic ions with different valence like: Mn O 4 − , C r 2 O 7 2 −, and Fe ( CN ) 6 3 −by the composite was compared. Adsorption equilibrium, kinetics, and thermodynamic models were also investigated. The adsorption capacity was very high and followed the sequence of Mn O 4 −  >  C r 2 O 7 2 − >  Fe ( CN ) 6 3 −, which could be demonstrated with strong electrostatic interaction between active cationic functional groups and metal anionic ions. The Langmuir isotherm gave satisfying fits to equilibrium data of Mn O 4 −ions indicating monolayer adsorption to monovalent anionic ion, while the Freundlich equation fitting equilibrium data of C r 2 O 7 2 −and Fe ( CN ) 6 3 −ions better predicated multilayer adsorption to polyvalent anionic ion. There was a better matching accuracy between the experimental data and the pseudo second order model. The removal percentages for the three ions of Mn O 4 − , C r 2 O 7 2 −, Fe ( CN ) 6 3 −by the composite were 96.84, 94, and 89.84%, respectively.

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