Adsorption study of removal of lead ions using Prosopis juliflora and prediction by artificial neural network modeling. (2023)

• Record Type: Journal Article
• Authors: Ilavenil, K.K.; Pandian, P.; Kasthuri, A.
• Is Part Of: Materials today. Volume 72(2023)Part 4
• Page Start: 2344
• Page End: 2350
• Publication Date: 2023
• Subjects: Adsorbent -- Pb (II) ions removal -- Box-Behnken design (BBD) -- SEM -- Feed Forward Artificial Neural Network (ANN); Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2022.09.402
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: 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.