Biosorptive uptake of ibuprofen by steam activated biochar derived from mung bean husk: Equilibrium, kinetics, thermodynamics, modeling and eco-toxicological studies. (1st November 2016)

• Record Type: Journal Article
• Authors: Mondal, Sandip; Bobde, Kiran; Aikat, Kaustav; Halder, Gopinath
• Is Part Of: Journal of environmental management. Volume 182(2016)
• Page Start: 581
• Page End: 594
• Publication Date: 2016-11-01
• Subjects: Biosorption -- Response surface methodology -- Artificial neural network -- Ibuprofen -- Kinetics -- Modeling; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2016.08.018
• Languages: English
• ISSNs: 0301-4797

Abstract

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. Graphical abstract: Highlights: Mung bean husk based biochar (SA-MBHB) was characterized and used for IBP removal. More than 99% of ibuprofen removal was achieved using SA-MBHB. Experimental design based on RSM and ANN approach was used for modeling. Eco-toxicity analysis of IBP on the Scendesmus abundans was performed. Total cost for the preparation of 1 kg adsorbent was approximately 50 INR.