Synthesis of CuO nanoparticles through green route using Citrus limon juice and its application as nanosorbent for Cr(VI) remediation: Process optimization with RSM and ANN-GA based model

作者: Sweta Mohan , Yogendra Singh , Devendra Kumar Verma , Syed Hadi Hasan , None

DOI: 10.1016/J.PSEP.2015.05.005

关键词: Langmuir adsorption modelEndothermic processChromatographyInfrared spectroscopyMonolayerChromiumChemistryAdsorptionResponse surface methodologyFourier transform infrared spectroscopyNuclear chemistry

摘要: Abstract In present investigation, an attempt has been made for the synthesis of cupric oxide nanoparticles (CuONPs) through a green route by utilizing lemon juice extract as bioreductant. The synthesized CuONPs were characterized UV–visible spectroscopy, Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), field-emission scanning electron microscopy (FE-SEM) and transmission (TEM). utilized Cr(VI) removal from water adsorption method in batch mode at different initial concentration, pH, temperature dosage. maximum uptake capacity was found to be 16.63 mg Cr(VI)/g pH 4.0. Implementation response surface methodology (RSM) followed artificial neural network hybridized with genetic algorithm (ANN-GA) approach resulted 98.8% under optimized conditions metal concentration 22.5 mg/L, 3.81, dose 1.28 g/L 37.1 °C. Under optimum conditions, isotherm study conducted, which showed that fitness experimental data well achieved Langmuir model illustrating monolayer pattern adsorption. Thermodynamic revealed process spontaneous endothermic nature, while kinetics best explained pseudo-second order kinetic model.

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