Literature DB >> 29494878

Modelling of dye adsorption from aqueous solution on polyaniline/carboxymethyl cellulose/TiO2 nanocomposites.

Marjan Tanzifi1, Mohammad Tavakkoli Yaraki2, Mojtaba Karami3, Samira Karimi4, Asieh Dehghani Kiadehi5, Kianoush Karimipour6, Shaobin Wang7.   

Abstract

In the present study, a polyaniline/carboxymethyl cellulose/TiO2 nanocomposite (PAn/CMC/TiO2) was synthesized by a polymerization method, and was used for adsorption of Congo Red from aqueous solution. The effects of operational parameters of the adsorption process including pH, initial dye concentration, temperature, adsorbent dosage, and adsorption time on adsorption efficiency were investigated, and response surface methodology was used for their optimization. Optimal adsorption conditions were determined at pH of 2.6, initial concentration of 82mgL, temperature of 56 °C, adsorption time of 24 min, and adsorbent dose of 0.14 g. In addition, the system was also simulated using artificial neural network (ANN) and genetic programming (GP). It was found that the behavior of the system could be well predicted by ANN using 5, 1 and 8 neurons for input, middle and output layers, respectively. Kinetic and isothermal analyses showed that the maximum adsorption capacities were obtained at 94.28, 97.53 and 119.9 mgg by Langmuir model at temperatures of 25, 40 and 50 °C, respectively and that adsorption kinetics followed the pseudo-second-order model. The nano-adsorbent was also found to be reusable without a significant change in adsorption capacity for at least five adsorption-desorption cycles. Finally, the mechanism of dye adsorption on the nano-adsorbent was investigated and proposed.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adsorption; Carboxymethyl cellulose sodium; Congo Red; Optimization; Polyaniline; TiO(2)

Year:  2018        PMID: 29494878     DOI: 10.1016/j.jcis.2018.02.059

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  2 in total

1.  Appraisal of Cu(ii) adsorption by graphene oxide and its modelling via artificial neural network.

Authors:  Yumeng Zhang; Min Dai; Ke Liu; Changsheng Peng; Yufeng Du; Quanchao Chang; Imran Ali; Iffat Naz; Devendra P Saroj
Journal:  RSC Adv       Date:  2019-09-24       Impact factor: 4.036

Review 2.  Recent Developments of the Solution-Processable and Highly Conductive Polyaniline Composites for Optical and Electrochemical Applications.

Authors:  Sunghun Cho; Jun Seop Lee; Hyeonseo Joo
Journal:  Polymers (Basel)       Date:  2019-11-29       Impact factor: 4.329

  2 in total

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