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Iranian Journal of Chemistry and Chemical Engineering، جلد ۴۱، شماره ۷، صفحات ۲۳۵۸-۲۳۷۷
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عنوان انگلیسی Applying Neural Network Model for Adsorption Methyl Paraben (MP) Dye Using Ricinus Communis-capeed Fe3O4 NPs Synthesized from Aqueous Solution
چکیده انگلیسی مقاله The applicability of the synthesized Ricinus Communis-capeed Fe3O4NPs as a novel adsorbent for eliminating Methyl Paraben (MP) from aqueous media was investigated. Various techniques including Brunauer Emmett Teller theory (BET), Fourier Transform InfraRed (FT-IR) spectroscopy, X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray (EDX) were used to characterize this novel adsorbent. The maximum adsorption efficiency of (MP) dye onto Ricinus Communis-capeed Fe3O4 NPs was 98.6% at an optimum pH value of 7.0, the adsorbent dosage of 0.01 g, (MP) dye concentration of 15 mg/L, and contact time of 12 min were considered as the ideal values for (MP) dye. The adsorption data fitted well with the Langmuir isotherm model with a correlation coefficient (R2 > 0.97), whereas the adsorption kinetics followed the pseudo-second-order kinetics. The use of an artificial neural network model in predicting data with the Levenberg–Marquardt algorithm, purlin, or a linear transfer function at the output layer, and training was helpful. ANN model as a tool (mean square error) MSEANN = 0.0034, MSEFL = 0.023, and MSEANFIS = 0.0020 for removal of the (MP) dye onto Ricinus Communis-capeed Fe3O4 NPs synthesis. Thermodynamic parameters of free energy (ΔG0), enthalpy (ΔH0), and entropy (ΔS0) of adsorption were determined using isotherms. ∆H0=59.58 kJ/mol, ∆G0= -2.8324 kJ/mol and ∆S0=221.15 kJ/mol. K. The value of (ΔGo, ΔHo, and ΔSo) confirmed the sorption process was endothermic reflecting the affinity of Ricinus Communis-capeed Fe3O4NPs for removing (MP) dye onto Ricinus Communis-capeed Fe3O4NPs process requires heat. The maximum monolayer capacity (qmax) was observed to be 195.0 mg/g for (MP) dye at desired conditions.
کلیدواژه‌های انگلیسی مقاله Adsorption capacity,Methyl Paraben (MP),Neural network model,kinetic,thermodynamic
نویسندگان مقاله Farzaneh Marahel |
Department of Chemistry, Omidiyeh Branch, Islamic Azad University, Omidiyeh, I.R. IRAN

Bijan Mombeni Goodajdar |
Department of Chemistry, Omidiyeh Branch, Islamic Azad University, Omidiyeh, I.R. IRAN

Neda Basri |
Department of Chemistry, Omidiyeh Branch, Islamic Azad University, Omidiyeh, I.R. IRAN

Leila Niknam |
Department of Chemistry, Omidiyeh Branch, Islamic Azad University, Omidiyeh, I.R. IRAN

Amir Abbas Ghazali |
Department of Chemistry, Omidiyeh Branch, Islamic Azad University, Omidiyeh, I.R. IRAN

نشانی اینترنتی https://ijcce.ac.ir/article_246400_2cbfeb929894516c5d1e6036cdd6101e.pdf
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