DOAJ Open Access 2024

Adsorptive removal of Direct Red 31 and Direct Orange 26 azo dyes from aqueous solutions using Ficus nano zero valent copper: Linear, non-linear, response surface methodology (RSM), and artificial neural network (ANN) modeling

Hossam Mohammed Abd El-Aziz Mohamed A. Zayed Soha Ali Abdel-Gawad

Abstrak

In this regard, green preparation of nanoscale-zero-valent copper was accomplished using Ficus benjamina leaves successfully. Ficus nano zero valent copper (Ficus-nZVCu) was characterized utilized scanning electron microscopy, and Fourier transform infrared spectroscopy. The results revealed that 63% of DR31 dye and 56% of DO26 dye were removed within the optimum conditions (0.3 g L -1 , 30 min, 50 mg L -1 , and pH 6). A Langmuir model was found to be the most fitting system for the removal process for DR31 and DO26. A Pseudo-second order kinetics model is the fit model of the removal processes for DR31 and DO26. The regenerated adsorbent still retained good adsorption capability after the fifth round of recycles. Ficus-nZVCu adsorbent is intensely recommended as a confident material for removing DR31 and DO26 anionic dyes from both prepared and actual wastewater samples. The co-presence of DR31 and DO26 did not affect each other's.

Penulis (3)

H

Hossam Mohammed Abd El-Aziz

M

Mohamed A. Zayed

S

Soha Ali Abdel-Gawad

Format Sitasi

El-Aziz, H.M.A., Zayed, M.A., Abdel-Gawad, S.A. (2024). Adsorptive removal of Direct Red 31 and Direct Orange 26 azo dyes from aqueous solutions using Ficus nano zero valent copper: Linear, non-linear, response surface methodology (RSM), and artificial neural network (ANN) modeling. https://doi.org/10.1177/02636174241256849

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Informasi Jurnal
Tahun Terbit
2024
Sumber Database
DOAJ
DOI
10.1177/02636174241256849
Akses
Open Access ✓