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Local Algerian clay characterization for toxic dyes removal

2020

Chemical industry growth has a crucial role in socioeconomic development. However, colossal amounts of toxic effluents are created as a result of manufacturing activity. Dyes, extensively used as a coloring agents in wide range of industrial activities in particular textiles, contributes significantly to wastewater discharges. More than 7 × 10 5 tons of synthetic dyes are produced annually across the world and 10-15% are wasted throughout dyeing process. Long-stand of those pollutants in water causes environmental pollution and damage aquatic life. Therefore, finding a reliable and practical solutions to mitigate these harmful hazards becomes a necessicity.

The Scientific Day of Energy and Environment JSEE Local Algerian clay characterization for toxic dyes removal 1 Rania , Remmani Makhloufi 1 Rachid , 1 Boutarfaia Ahmed , Antonio Ruiz 2 Canales 1- Laboratory of Applied Chemistry, University Mohamed Khider, Biskra, Algeria. 2- Engineering Department, Miguel Hernández University, Alicante , Spain. Abstract The removal of toxic dyes ( methylene blue MB, methyl red MR, methyl orange MO, methyl green MG, phenolphthalein QQ and gentian violet GV ) from aqueous solutions onto Mchounche clay (region of Biskra) were study in batch process. The adsorbent were characterized by XRD, FTIR, SEM and EDS; The effects of parameters as dye concentration, pH and temperature were studied. The freundlich and the Langmuir models have been applied and the equilibrium adsorption has been found to follow the Freundlich model. Thermodynamic parameters were calculated and showed that adsorption enthalpy was enthalpy was exothermic nature and the reaction was spontaneous. Introduction Chemical industry growth has a crucial Adsorbent Characterization role in socio-economic development. XRD However, colossal amounts of toxic effluents are created as a result of manufacturing activity. Dyes, extensively used as a coloring agents in wide range of industrial activities in particular textiles, contributes significantly to wastewater discharges. More than 7 × 105 tons of synthetic dyes are produced annually across the world and 10-15% are wasted throughout dyeing process. Long-stand of those pollutants in water causes environmental pollution and damage aquatic life. Therefore, finding a reliable and practical solutions to mitigate these harmful hazards becomes a necessicity. Model QQ Adsorption kinetic PFO 19.99 PSO K R² RMSE 15.32 0.009 0.286 0.890 17.85 0.001 0.948 1.100 16.48 Qe cal (mg/g) K R² RMSE Model 27.55 0.009 0.300 0.594 PFO 20.90 0.009 0.947 0.247 PSO Qe exp (mg/g) 19.74 Qe cal (mg/g) K R² RMSE 27.54 0.009 0.460 1.000 20.90 0.009 0.947 0.442 PSO fit SEM-EDS PSO fit MR PFO fit Qe (mg/g) Qe exp (mg/g) Qe cal (mg/g) PFO PSO BM Model Qe exp (mg/g) PSO fit PFO fit Qe (mg/g) Qe (mg/g) PFO fit Stirring time (min) Model MG Qe exp (mg/g) Qe cal (mg/g) K R² RMSE 20.897 0.009 0.460 2.122 18.299 0.009 0.947 1.807 Qe cal (mg/g) K R² RMSE 20.90 0.009 0.460 1.344 17.41 0.001 0.948 0.846 Qe cal (mg/g) K R² RMSE 20.90 0.009 0.460 1.344 17.41 0.001 0.948 0.846 PFO 19.25 PSO Stirring time (min) Model Stirring time (min) GV Qe exp (mg/g) PFO 18.36 PSO Model Modeling of adsorption isotherm y = 8.8769x + 5.7923 R² = 0.9978 Qe exp (mg/g) PFO MO 18.36 PSO FTIR Initial pH variation BM Qe (mg/g) BM Freundlich fit langmuir fit Models Parameters Langmuir (mg/g) KL (L/mg) R2 RMSE RL Models QQ Parameters MR Parameters View publication stats n KF (mg/g) R² RMSE 0.902 11.878 0.997 0.516 Freundlich 161.679 0.001 0.997 1.80 0.996 (mg/g) KL (L/mg) R2 RMSE RL n KF (mg/g) R² RMSE 1.015 9.304 0.997 0.405 BM QQ MR 108.879 0.006 0.956 2.642 0.996 n KF (mg/g) R² RMSE GV MO 0.979 9.520 0.997 1.705 MO Freundlich 161.679 n MG Initial pH Freundlich Langmuir (mg/g) Parameters 623.773 0.018 0.997 0.373 0.891 Langmuir Langmuir Models MG Freundlich (mg/g) KL (L/mg) R2 RMSE RL Models Qe (mg/g) Ce (mg/L) Models 1.003 KL (L/mg) 0.001 KF (mg/g) 9.862 R2 0.924 R² 0.997 RMSE 0.319 RMSE 0.008 RL 0.996 Langmuir (mg/g) GV KL (L/mg) Parameters Freundlich 161.679 n 0.0002 KF (mg/g) Models (mg/g) 0.432 15.247 R2 0.960 R² 0.988 RMSE 0.816 RMSE 0.449 RL 0.998 Langmuir Parameters Freundlich 623.774 n 1.037 KL (L/mg) 0.018 KF (mg/g) 7.755 R2 0.925 R² 0.998 RMSE 0.554 RMSE 0.012 RL 0.891