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Withdrawal of Mn(II) from aqueous solution using low cost adsorbents: isothermal, kinetic and ANN modeling studies
Author : G. V. S. R. Pavan Kumar*a, Malla Komal Avinash b and Yerra Bharath b
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ABSTRACT
Residual solid material left after complete extraction of oil from groundnut, sesame seed and coconut were used in their raw form as adsorbents in the withdrawl of Mn(II). A temperature of 40ºC, contact time of 60 min, 1.0 g of adsorbent dosage, initial metal concentration of 60 mg/L and a pH of 4 was found to be effective for the withdrawl (99.7%) of Mn(II). Langmuir adsorption isotherm fits apt for the withdrawl of Mn(II) by the three adsorbents with R2 values of 0.9785, 0.985 and 0.984. Adsorption of Mn(II) on the three adsorbents followed pseudo-second order kinetics. Back propagation L-M algorithm was adapted for predicting withdrawl of Mn(II) using ANN tool in MATLAB. A strong positive correlation with R2 value of 0.9825 was observed between the ANN predicted and experimental values. The maximum withdrawl capacity was found to be 4.99 mg/g with all the three adsorbents.
KEYWORD
Artificial neural networks, manganese, adsorption, isotherms, kinetics.