Application of machine learning and statistical approaches for optimization of heavy metals (Cd2+, Pb2+, Cu2+, and Zn2+) adsorption onto carbonized char prepared from PET plastic bottle waste
Tapos Kumar Chakraborty,
Md. Sozibur Rahman,
Khandakar Rashedul Islam,
Md. Simoon Nice,
Baytune Nahar Netema,
Samina Zaman,
Gopal Chandra Ghosh,
Md Abu Rayhan,
Md. Jahed Hassan Khan,
Asadullah Munna,
Md. Muhaiminul Haque,
Himel Bosu,
Nazmul Hossain,
Monishanker Halder,
Abu Shamim Khan
Affiliations
Tapos Kumar Chakraborty
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Md. Sozibur Rahman
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Khandakar Rashedul Islam
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Md. Simoon Nice
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Baytune Nahar Netema
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Samina Zaman
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Gopal Chandra Ghosh
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Md Abu Rayhan
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Md. Jahed Hassan Khan
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Asadullah Munna
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Md. Muhaiminul Haque
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Himel Bosu
Department of Environmental Science and Technology, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Nazmul Hossain
Department of Computer Science and Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Monishanker Halder
Department of Computer Science and Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh
Abu Shamim Khan
Environmental Laboratory, Asia Arsenic Network, Jashore 7400, Bangladesh
This study focuses on the probable use of carbonized char prepared from PET plastic bottles for heavy metals (HMs) adsorption (Cd2+, Pb2+, Cu2+, and Zn2+). The prepared adsorbent is characterized by field-emission scanning electron microscopy (FE-SEM), energy dispersive X-ray spectroscopy (EDX), and Fourier-transform infrared spectroscopy (FTIR). Batch adsorption experiments were conducted with the influencing of different operational conditions: contact time (1–180 min), adsorbate concentration (25–300 mg/L), adsorbent dose (0.5–6 g/L), pH (3–7), and temperature (25–60 ºC). High coefficient value [Cd2+ (R2 = 0.99), Pb2+ (R2 = 0.97), Cu2+ (R2 = 0.94), and Zn2+ (R2 = 0.98)] of process optimization model suggest that this model was significant, where pH and adsorbent dose expressively stimulus removal efficiency including 86.68, 73.66, 67.10, and 57.04% for Cd2+, Pb2+, Cu2+, and Zn2+ at pH (7), respectively. Furthermore, ANN and BB-RSM revealed a good association between the tested and projected values. The maximum monolayer adsorption capacity of Cd2+, Pb2+, Cu2+, and Zn2+ was 263.157, 78.740, 196.078, and 84.745 mg/g, respectively. Pseudo-second-order was the well-suited kinetics, where Langmuir and Freundlich isotherm could explain better for equilibrium adsorption data. Thermodynamic study shows HMs adsorption is favorable, exothermic, and spontaneous. HIGHLIGHTS Carbonized adsorbent was prepared from PET bottle waste by a simple thermal dissociation method.; Response surface methodology and artificial neural network express a strong correlation between the experimental and projected heavy metal removal efficiency.; Carbonized adsorbents reveal satisfactory results for experimental (Cd = 86.68%, Pb = 73.66%, Cu = 67.10%, and Zn = 57.04%) and real wastewater applications (Cd = 99.2%, Pb = 62.20%, Cu = 97.63%, and Zn = 64.47%).;
