Adsorption study of removal of lead ions using Prosopis juliflora and prediction by artificial neural network modeling

The batch mode process is used to remove the lead (II) ions from the wastewater by employing the seed powder of Prosopis juliflora. The effect of concentration of lead ions (20 – 60 mg/L), time (70 – 120 min), and pH (4 – 6) were investigated by Box-Behnken Design (BBD) in response to surface method...

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Bibliographic Details
Published in:Materials today : proceedings 2023, Vol.72, p.2344-2350
Main Authors: Ilavenil, K.K., Pandian, P., Kasthuri, A.
Format: Article
Language:English
Subjects:
Adsorbent
Box-Behnken design (BBD)
Feed Forward Artificial Neural Network (ANN)
Pb (II) ions removal
SEM
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Summary:The batch mode process is used to remove the lead (II) ions from the wastewater by employing the seed powder of Prosopis juliflora. The effect of concentration of lead ions (20 – 60 mg/L), time (70 – 120 min), and pH (4 – 6) were investigated by Box-Behnken Design (BBD) in response to surface methodology and Feed Forward Artificial Neural Network (ANN). The maximum removal of lead (II) ions was found to be 89.6277 % during the time 119.69 at pH 5.69 from the Box-Behnken design (BBD). An ANN model was developed having 10 neurons in the hidden layer. The SEM photos depict the adsorbent's surface texture as well as lead (II) metal ion adsorption.
ISSN:2214-7853
2214-7853
DOI:10.1016/j.matpr.2022.09.402