Literature DB >> 27544645

Biosorptive uptake of ibuprofen by steam activated biochar derived from mung bean husk: Equilibrium, kinetics, thermodynamics, modeling and eco-toxicological studies.

Sandip Mondal1, Kiran Bobde2, Kaustav Aikat2, Gopinath Halder3.   

Abstract

The present study explores the use of steam activated mung bean husk biochar (SA-MBHB) as a potential sorbent for the removal of non-steroidal and anti-inflammatory drug ibuprofen from aqueous solution. SA-MBHB was characterized by SEM, FTIR, BET, TGA, point of zero charge (pHPZC) and UV-Vis spectrophotometer. The relation between removal percentages of ibuprofen and parameters such as adsorbent dose (0.05 g-250 g), contact time (5 min-210 min), pH (2-10), speed of agitation (40-280 rpm), temperature (293-308 K) and initial ibuprofen concentration (5-100 ppm) was investigated and optimized by a series of batch sorption experiments. The optimized conditions achieved were: adsorbent dose 0.1 g/L, agitation speed 200 rpm, pH 2, initial ibuprofen concentration 20 mg L(-1), equilibrium time 120 min and temperature 20 °C for more than 99% adsorptive removal of ibuprofen. The equilibrium adsorption data were well fitted into the Langmuir isotherm model while kinetic data suggested the removal process to follow pseudo second order reaction. The adsorption phenomena were optimized and simulated by using response surface methodology (RSM) and artificial neural network (ANN). Effect of process variables viz. dose, agitation speed and pH on the sorbed amount of IBP was studied through a 2(3) full factorial central composite design (CCD). The comparative analysis was done for ibuprofen removal by constructing ANN model training using same experimental matrix of CCD. The growth of Scenedesmus abundans was also observed to be affected by the IBP solution whereas the biochar treated with IBP solution did not significantly affect the growth of the Scenedesmus abundans. The results revealed that SA-MBHB could be a cost-effective, efficient and non-hazardous adsorbent for the removal of ibuprofen from aqueous solution.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Artificial neural network; Biosorption; Ibuprofen; Kinetics; Modeling; Response surface methodology

Mesh:

Substances:

Year:  2016        PMID: 27544645     DOI: 10.1016/j.jenvman.2016.08.018

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  4 in total

Review 1.  A critical review on the biochar production techniques, characterization, stability and applications for circular bioeconomy.

Authors:  P R Yaashikaa; P Senthil Kumar; Sunita Varjani; A Saravanan
Journal:  Biotechnol Rep (Amst)       Date:  2020-11-21

2.  Facile Synthesis and Life Cycle Assessment of Highly Active Magnetic Sorbent Composite Derived from Mixed Plastic and Biomass Waste for Water Remediation.

Authors:  Ahmed I Osman; Ahmed M Elgarahy; Neha Mehta; Ala'a H Al-Muhtaseb; Ahmed S Al-Fatesh; David W Rooney
Journal:  ACS Sustain Chem Eng       Date:  2022-09-07       Impact factor: 9.224

3.  Assessment of potato peel and agro-forestry biochars supplementation on in vitro ruminal fermentation.

Authors:  Ana R F Rodrigues; Margarida R G Maia; Ana R J Cabrita; Hugo M Oliveira; Maria Bernardo; Nuno Lapa; Isabel Fonseca; Henrique Trindade; José L Pereira; António J M Fonseca
Journal:  PeerJ       Date:  2020-07-28       Impact factor: 2.984

4.  Husk of Agarwood Fruit-Based Hydrogel Beads for Adsorption of Cationic and Anionic Dyes in Aqueous Solutions.

Authors:  Chih Ming Ma; Bo-Yuan Yang; Gui-Bing Hong
Journal:  Molecules       Date:  2021-03-06       Impact factor: 4.411

  4 in total

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