title: Biosorptive uptake of ibuprofen by steam activated biochar derived from mung bean husk: Equilibrium, kinetics, thermodynamics, modeling and eco-toxicological studies.
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.
authors.affiliation: Department of Biotechnology, National Institute of Technology, Durgapur, 713209, India; Department of Chemical Engineering, National Institute of Technology, Durgapur, 713209, India.
authors.forename: Sandip
authors.initials: S
authors.lastname: Mondal
authors.affiliation: Department of Biotechnology, National Institute of Technology, Durgapur, 713209, India.
authors.forename: Kiran
authors.initials: K
authors.lastname: Bobde
authors.affiliation: Department of Biotechnology, National Institute of Technology, Durgapur, 713209, India.
authors.forename: Kaustav
authors.initials: K
authors.lastname: Aikat
authors.affiliation: Department of Chemical Engineering, National Institute of Technology, Durgapur, 713209, India. Electronic address: gopinath_haldar@yahoo.co.in.
authors.forename: Gopinath
authors.initials: G
authors.lastname: Halder
mesh_terms: D000327:Adsorption; D002606:Charcoal / Q000737:chemistry*; D054750:Ecotoxicology; D006863:Hydrogen-Ion Concentration; D007052:Ibuprofen / Q000737:chemistry*; D007700:Kinetics; D008855:Microscopy, Electron, Scanning; D016571:Neural Networks, Computer; D044444:Scenedesmus / Q000254:growth & development; D012996:Solutions; D013056:Spectrophotometry, Ultraviolet; D017550:Spectroscopy, Fourier Transform Infrared; D013227:Steam; D013696:Temperature; D013816:Thermodynamics; D000070658:Vigna / Q000737:chemistry*; D014874:Water Pollutants, Chemical / Q000737:chemistry*
chemical_list: D012996:Solutions; D013227:Steam; D014874:Water Pollutants, Chemical; C540010:biochar; D002606:Charcoal; D007052:Ibuprofen
keywords: Artificial neural network; Biosorption; Ibuprofen; Kinetics; Modeling; Response surface methodology