Centrifugally spun magnetic nanofibers for anionic dye removal: Optimization and predictive modeling with RSM and ANN

Response surface methodology (RSM) and artificial neural network (ANN) approach were used for the modeling-optimization of dye removal by adsorption using poly(ethylene terephthalate)/Fe 3 O 4 nanocomposites nanofibers. The nanoparticles of Fe 3 O 4 were synthesized by the chemical co-precipitation...

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Bibliographic Details
Published in:Journal of dispersion science and technology 2024-11, Vol.45 (14), p.2508-2523
Main Authors: Hennaoui, Siham, El-Miloudi, Khaled, Varol, Esin Apaydin
Format: Article
Language:English
Subjects:
Adsorbents
Adsorption
anionic dye
Artificial neural networks
Chemical synthesis
composite nanofibers
Dyes
Iron oxides
Modelling
Nanocomposites
Nanofibers
Nanoparticles
Optimization
PET/Fe
Polyethylene terephthalate
Prediction models
Predictions
Response surface methodology
Stabilizers (agents)
Water treatment
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Summary:Response surface methodology (RSM) and artificial neural network (ANN) approach were used for the modeling-optimization of dye removal by adsorption using poly(ethylene terephthalate)/Fe 3 O 4 nanocomposites nanofibers. The nanoparticles of Fe 3 O 4 were synthesized by the chemical co-precipitation method in the presence of linoleic acid as a stabilizer. The polymer matrix was obtained by recycling PET from plastic water bottles. We used a simple homemade centrifugal spinning device to prepare PET/Fe 3 O 4 nanofibers and the resulting material was characterized by XRD, FTIR and SEM. The performance of the nanofiber material as an adsorbent was examined in water treatment to remove Naphthol Green B anionic dye in batch mode. Box-Behnken-RSM and ANN were employed to optimize the effect of pH, contact time, initial dye concentration, and adsorbent mass. The optimized conditions leading to the maximum predicted dye removal were a pH of 2, a contact time of 60 min, an adsorbent mass of 0.125 g/L, and a dye concentration of 20 mg/L, and. The results demonstrated that both methods showed good predictions of dye removal. The pseudo-first-order kinetic and Langmuir isotherm models were found to be best fitted with the experimental data and rePET/Fe3O4 exhibited a maximum NGB dye adsorption capacity up to 155 mg/g. This study also indicates that magnetite nanoparticles combined with recycled PET in the form of nanocomposite nanofibers could be used for the treatment of dye wastewater.
ISSN:0193-2691
1532-2351
DOI:10.1080/01932691.2023.2271061