A novel weighted mean-squared error optimization model to obtain optimal conditions of adsorption factors for a lead removal process

ÖZDEMİR A., TEKE Ç., Serencam H., UÇURUM M., GÜNDOĞDU A.

DESALINATION AND WATER TREATMENT, cilt.218, ss.294-302, 2021 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 218
  • Basım Tarihi: 2021
  • Doi Numarası: 10.5004/dwt.2021.26966
  • Dergi Adı: DESALINATION AND WATER TREATMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Environment Index, Geobase, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.294-302
  • Anahtar Kelimeler: Adsorption, Lead, D-optimal experimental design, Optimization, Wastewater treatment, PARAMETER DESIGN OPTIMIZATION, AQUEOUS-SOLUTIONS, JOINT OPTIMIZATION, PB(II) REMOVAL, WASTE-WATER, PB REMOVAL, ROBUST, CU(II), TAGUCHI, CD(II)
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

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.