Carboxymethyl cellulose improved adsorption capacity of polypyrrole/CMC composite nanoparticles for removal of reactive dyes: Experimental optimization and DFT calculation
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- @Article{TANZIFI:2020:Chemosphere,
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author = "Marjan Tanzifi and Mohammad {Tavakkoli Yaraki} and
Zahra Beiramzadeh and Leily {Heidarpoor Saremi} and
Mohammad Najafifard and Hojatollah Moradi and
Mohsen Mansouri and Mojtaba Karami and Hossein Bazgir",
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title = "Carboxymethyl cellulose improved adsorption capacity
of polypyrrole/{CMC} composite nanoparticles for
removal of reactive dyes: Experimental optimization and
{DFT} calculation",
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journal = "Chemosphere",
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volume = "255",
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pages = "127052",
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year = "2020",
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ISSN = "0045-6535",
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DOI = "doi:10.1016/j.chemosphere.2020.127052",
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URL = "http://www.sciencedirect.com/science/article/pii/S0045653520312455",
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keywords = "genetic algorithms, genetic programming, Polypyrrole,
Carboxy methyl cellulose, Wastewater treatment,
Optimization, Density functional theory",
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abstract = "In this study, polypyrrole/carboxymethyl cellulose
nanocomposite particles (PPy/CMC NPs) were synthesized
and applied for removal of reactive red 56 (RR56)and
reactive blue 160 (RB160) as highly toxic dyes. The
amount of CMC was found significantly effective on the
surface adsorption efficiency. Different optimization
methods including the genetic programming, response
surface methodology, and artificial neural network
(ANN) were used to optimize the effect of different
parameters including pH, adsorption time, initial dye
concentration and adsorbent dose. The maximum
adsorption of RR56 and RB160 were found under the
following optimum conditions: pH of 4 and 5, adsorption
time of 55 min and 52 min for RR56 and RB160,
respectively, initial dye concentration of 100 mg/L and
adsorbent dose of 0.09 g for both dyes. were obtained
for RR56 and RB160, respectively. Also, the results
indicated that ANN method could predict the
experimental adsorption data with higher accuracy than
other methods. The analysis of ANN results indicated
that the adsorbent dose is the main factor in RR56
removal, followed by time, pH and initial
concentration, respectively. However, initial
concentration mostly determines the RB160 removal
process. The isotherm data for both dyes followed the
Langmuir isotherm model with a maximum adsorption
capacity of 104.9 mg/g and 120.7 mg/g for RR56 and
RB160, respectively. In addition, thermodynamic studies
indicated the endothermic adsorption process for both
studied dyes. Moreover, DFT calculations were carried
out to obtain more insight into the interactions
between the dyes and adsorbent. The results showed that
the hydrogen bondings and Van der Waals interactions
are dominant forces between the two studied dyes and
PPy/CMC composite. Furthermore, the interaction
energies calculated by DFT confirmed the experimental
adsorption data, where PPy/CMC resulted in higher
removal of both dyes compared to PPy. The developed
nanocomposite showed considerable reusability up to 3
cylces of the batch adsorption process",
- }
Genetic Programming entries for
Marjan Tanzifi
Mohammad Tavakkoli Yaraki
Zahra Beiramzadeh
Leily Heidarpoor Saremi
Mohammad Najafifard
Hojatollah Moradi
Mohsen Mansouri
Mojtaba Karami
Hossein Bazgir
Citations