A novel weighted mean-squared error optimization model to obtain optimal conditions of adsorption factors for a lead removal process
Küçük Resim Yok
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Desalination Publ
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Lead (Pb) removal process from wastewater is an important issue to prevent health problems for people. For this particular purpose, a low-cost adsorbent may be beneficial for improving the adsorption capacity for the Pb removal process. The aims of this paper are four-fold. First of all, a D-optimal experimental design was selected to reduce experimental runs and its cost. Second, the effect of four adsorption design factors, stirring speed (rpm), adsorbent dosage (g), pH level, and initial metal concentration (ppm), was examined. Also, the yellow natural stone, which is from Bayburt, Turkey, was used as a cheap adsorbent for the Pb removal process from the solution. Third, a novel weighted mean-squared error optimization model was developed to obtain optimal adsorption levels for adsorption factors. Besides, a verification study was conducted to verify the results of the adsorption experiment. Finally, the lead (Pb( II)) removal capacity of the yellow Bayburt stone was obtained to be 46.031 mg/g, and the results of the experiment from the proposed methodology showed a good performance for the removal study.
Açıklama
Anahtar Kelimeler
Adsorption, Lead, D-optimal experimental design, Optimization, Wastewater treatment
Kaynak
Desalination and Water Treatment
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
218
