TY - JOUR VL - 359 AV - none JF - Chemosphere A1 - Singa, P.K. A1 - Rajamohan, N. A1 - Isa, M.H. A1 - Azner Abidin, C.Z. A1 - Ibrahim, A.H. UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192684570&doi=10.1016%2fj.chemosphere.2024.142248&partnerID=40&md5=19119fbba3daa378552b7baac85b6fea N1 - cited By 0 ID - scholars19591 Y1 - 2024/// TI - Remediation of carcinogenic PAHs from landfill leachate by Electro-Fenton process â?? Optimization and modeling KW - Artificial intelligence; Chemical oxygen demand; Electrodes; Iron compounds; Leachate treatment; Oxidation; Polycyclic aromatic hydrocarbons; Statistical mechanics KW - Carcinogenic PAHs; Central composite designs; Electro-fenton; Electro-Fenton process; Landfill leachates; Micropollutants; Process optimisation; Process-models; Removal efficiencies; Statistical tools KW - Efficiency KW - polycyclic aromatic hydrocarbon KW - artificial intelligence; carcinogen; design; electrochemistry; landfill; leachate; numerical model; optimization; PAH; remediation; statistical analysis KW - Article; artificial intelligence; bioaccumulation; biodegradation; bioremediation; central composite design; controlled study; current density; effluent; electrocoagulation; Fenton reaction; landfill leachate; pH; reaction time; response surface method; signal noise ratio; substrate concentration N2 - PAHs is the group of emerging micro-pollutants present in most environmental matrices that has the tendency to bioaccumulate and cause carcinogenic effects to human health. The present research involved the quantification and treatment of leachate produced from secured landfill, to eliminate the PAHS. Electro-Fenton process, a class of advanced oxidation process, is adopted to degrade the PAHs using titanium electrodes as both anode and cathode. Artificial intelligence based statistical tool â??Central Composite Designâ?? a module of JMP -19 software was used to design the experiments and optimize the critical parameters involved in the research. It was observed that the value of P is significant (P < 0.05) for all the independent variables evidencing the significant correlation between experimental values and predicted values of the software. The value of R2 obtained was 0.96 and 0.97 for COD and PAHs respectively. The maximum removal efficiency of COD and PAH was found to be 84.24 and 90.78 respectively. The optimized conditions obtained from the central composite design were: pH = 5; Fe2+ = 0.1 g/L; H2O2 = 2 g/L; reaction time = 60 min; and electric intensity = 0.2 A. Additionally, optimized experimental conditions were used to study the removal efficiencies of individual 16 PAHs and are also reported. From the close proximity of experimental and predicted results of the software it can be proved that central composite design is efficient enough to be used as a statistical tool in design and analysis for treatment of landfill leachate. © 2024 Elsevier Ltd ER -