Breakthrough Curve Analysis for Fixed-Bed Adsorption of Azo Dyes Using Novel Pine Cone-Derived Active Carbon

A novel activated carbon has been produced from pine cone, a sustainable resource, by phosphoric activation at 900 degrees C. The BET surface area of the activated carbon was 869 m(2)/g and the methylene blue isotherm area was 734 m(2)/g. The adsorption of two single-component acid azo dyes, Acid Blue 113 (AB113) and Acid Black 1 (AB1), onto this activated carbon was studied using fixed-bed adsorption. Breakthrough curves and equilibrium isotherms were obtained for the adsorption of these two dyes onto the prepared active carbon. The highest adsorption capacities achieved for AB113 and AB1 were 485 and 286 mg dye/g carbon, respectively. Two-column breakthrough curve models were applied to correlate the experimental adsorption breakthrough curves for each dye: the Thomas model, based on solid-phase internal diffusion, has been applied with considerable success; and the saturation isotherm model approach of Michaels was used with a reasonable degree of success

Equilibrium two-parameter isotherms of acid dyes sorption by activated carbons: Study of residual errors

The adsorption of two acid dyes Acid Black 1 (AB1) and Acid Blue 113 (AB113) onto mesoporous granular pine-cone derived activated carbon and the adsorption of three acid dyes Acid Black 80 (AB80), Acid Red 114 (AR114) and Acid Yellow 117 (AY117) onto microporous Granular Activated Carbon (GAC) type F400, from aqueous solution, has been studied in a batch system. Seven two-parameter isotherm models - Langmuir, Freundlich, Dubinin-Radushkevich, Temkin, Halsey, Jovanovic and Harkins-Jura - were used to correlate the experimental data. Adsorption isotherm modeling shows that the interaction of dye with activated carbon surface is by localized monolayer adsorption. In order to determine the best fit isotherm for each system, nine error analysis methods, namely, chi-square (chi(2)). log-likelihood (G(2)), residual root mean square error (RMSE), sum of the squares of the errors (ERRSQ), composite functional error (HYBRD), derivative of Marquardt's percent standard deviation (MPSD), average relative error (ARE), sum of absolute error (EABS) and average percentage error (APE) were used to evaluate the data. In order to facilitate decision making for the best fit data set, a procedure of normalizing and combining the error results was adopted producing a "sum of the normalized errors" for each parameter set from which the "lowest normalized error set" is selected. (C) 2010 Elsevier B.V. All rights reserved

PVA/gluten hybrid nanofibers for removal of nanoparticles from water

10.1021/sc500003kACS Sustainable Chemistry and Engineering241014-102