RELATIONAL DESCRIPTION OF AN ADSORPTION SYSTEM BASED ON ISOTHERM, ADSORPTION DENSITY, ADSORPTION POTENTIAL, HOPPING NUMBER AND SURFACE COVERAGE

Authors : Chukwunonso O ANIAGOR, Matthew Chukwudi MENKITI

Pages : 1073-1098

View : 25 | Download : 6

Publication Date : 2021-10-05

Article Type : Research Paper

Abstract :Gossweilerdendron balsamiferum insert ignore into journalissuearticles values(Tola wood); dust, as a precursor was used for the production of acid-activated carbon insert ignore into journalissuearticles values(TDAC); employed in the adsorptive removal of Cu2+ and Pb2+ ions. The relational adsorptive behaviour of TDAC, equilibrium studies and statistical evaluation of the data prediction performance of the respective models were conducted. The adsorbent was characterized using scanning electron microscopy insert ignore into journalissuearticles values(SEM); and Fourier transform infrared spectroscopy. Removal efficiencies of 75.66 % insert ignore into journalissuearticles values(for Cu-loaded TDAC); and 72.22 % insert ignore into journalissuearticles values(for Pb-loaded TDAC); were recorded at optimum pH insert ignore into journalissuearticles values(pH 6.0);. The values of adsorption density, adsorption potential, hopping number and surface coverage were 7.256E-13 mol/L; -4920.78 J/mol; 8.44; 0.86 and 9.623E-13 mol/L; -5648.6 J/mol; 8.53; 0.86, for Cu- and Pb-loaded TDAC, respectively. Modified Langmuir model emerged as the best fit model for both adsorption system, as it depicted the lowest average error values of 1.8E-11 insert ignore into journalissuearticles values(for Cu-loaded TDAC); and 1.43E-12 insert ignore into journalissuearticles values(for Pb-loaded TDAC);. Furthermore, model prediction performance showed that 5-parameter equation with t- and p-values of -0.862; 0.439 insert ignore into journalissuearticles values(for Cu-loaded TDAC); and -0.804; 0.466 insert ignore into journalissuearticles values(for Pb-loaded TDAC);, was the least predictive among the isotherm models. The study demonstrated the effective application of TDAC in Cu2+ and Pb2+ adsorption, with the Cu-loaded TDAC being more efficient.
Keywords : Adsorption, heavy metal, isotherm, adsorption density, adsorption potential, activated carbon

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