Modeling, optimization and efficient use of MMT K₁₀ nanoclay for Pb (II) removal using RSM, ANN and GA.

ABSTRACT: Regarding the long-term toxic effects of Pb (II) ions on human health and its bioaccumulation property, taking measures for its reduction in the environment is necessary. The MMT-K₁₀ (montmorillonite-k₁₀) nanoclay was characterized by XRD, XRF, BET, FESEM, and FTIR. The effects of pH, initial concentrations, reaction time, and adsorbent dosage were studied. The experimental design study was carried out with RSM-BBD method. Results prediction and optimization were investigated with RSM and artificial neural network (ANN)-genetic algorithm (GA) respectively. The RSM results showed that the experimental data followed the quadratic model with the highest regression coefficient value (R² = 0.9903) and insignificant lack of fit (0.2426) showing the validity of th

SUBMITTER: Hamidi F 

PROVIDER: S-EPMC10209060 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature