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Characterization, kinetic, and isotherm data for adsorption of Pb from aqueous solution by adsorbent from mixture of bagasse-bentonite. | LitMetric

Characterization, kinetic, and isotherm data for adsorption of Pb from aqueous solution by adsorbent from mixture of bagasse-bentonite.

Data Brief

Department of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Sepuluh Nopember, 60111, Indonesia.

Published: February 2018

AI Article Synopsis

Article Abstract

The usage of wastes of bagasse would be admirable from environmental and solid waste management point of view. Thus, herein, this data set present a facile method for providing an adsorbent from mixture of bagasse-bentonite. The prepared adsorbent was applied to remove Pb from aqueous solution. It was conducted in laboratory scale using completely randomized design with variations in mixed mass ratio (1:0, 1:1, 1:2, 1:3, 2:1, 3:1), pH (2, 3, 4, 5, 6, 7) and contact time (5, 10, 30, 45, 90, 120, 180 min) and the adsorption technique was batch technique. The mixed adsorbent with 3:1 of mass ratio provided the highest Pb adsorption efficiency of 97.31%. The optimum pH of Pb adsorption was 5 and contact time was efficient at 45 min giving adsorption efficiency of 94.76% and 93.38%. The characterization data of the adsorbent were analyzed using XRF and FTIR methods. The XRF test results showed the changes of elemental content in adsorbent after the adsorption indicated that adsorbent can absorb Pb. The FTIR test results showed that adsorbent has a functional group that is useful in adsorption process. Adsorption of Pb by adsorbent from mixture of bagasse-bentonite follows pseudo second order model with correlation coefficient value of 99.99% ( = 0.9999) and Freundlich isotherm model with correlation coefficient value of 90.05% ( = 0.9005). The acquired data indicated that the adsorption of Pb by the adsorbent prepared from mixture of bagasse-bentonite is a promising technique for treating Pb-bearing wastewaters.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5730380PMC
http://dx.doi.org/10.1016/j.dib.2017.11.098DOI Listing

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