Biosorption of Zn(II) onto Pleurotus platypus: 5-Level Box-Behnken design, equilibrium, kinetic and regeneration studies

被引:29
作者
Das, Devlina [1 ]
Vimala, R. [1 ]
Das, Nilanjana [1 ]
机构
[1] VIT Univ, Sch Biosci & Technol, Bioremediat Lab, Vellore 632014, Tamil Nadu, India
关键词
Biosorption; Box-Behnken design; Equilibrium isotherm; Macrofungus; Pleurotus platypus; Zn(II); PACKED-BED COLUMN; ACTIVATED CARBON; WASTE-WATER; REMOVAL; ADSORPTION; CADMIUM; BIOMASS; OPTIMIZATION; BIOSORBENT; MODEL;
D O I
10.1016/j.ecoleng.2013.12.051
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In the present study, response surface methodology employing 5-level Box-Behnken design was used to optimize the biosorption of Zn(II) onto macrofungus Pleurotus platypus. Various process parameters, viz., pH (A: 2-8), biomass dosage (B: 0.5-2.5 g/L), initial metal concentration (C: 50-450 mg/L), temperature (D: 10-70 degrees C) and time (E: 2-24 h) were chosen for optimization. A natural log transformation was suggested by the Box-Cox plot in the present case. A low p-value of < 0.0001 validated the significance of the model. Maximum Zn(II) uptake of 135.1 mg/g was noted at pH 5, biomass dosage 1.5 g/L, initial metal concentration 250 mg/L, temperature 40 degrees C and time 18.5 h. Among the equilibrium isotherms tested, Freundlich was found to be the best fitted one suggesting a heterogeneous mode of biosorption. Kinetic studies showed better applicability of pseudo-second order model suggesting chemisorption as phenomena underlying the process. SEM analysis confirmed the heterogeneous mode of biosorption. FTIR studies confirmed the involvement of amine, alcohol, ketone and carboxylate groups in the process of Zn(II) biosorption onto P. platypus. Regeneration studies suggested that the biosorbent could be consistently reused up to 5 cycles with a minor metal leaching of 0.92%. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:136 / 141
页数:6
相关论文
共 25 条
[1]   Microbial and plant derived biomass for removal of heavy metals from wastewater [J].
Ahluwalia, Sarabjeet Singh ;
Goyal, Dinesh .
BIORESOURCE TECHNOLOGY, 2007, 98 (12) :2243-2257
[2]   Statistical modelling and optimization of substrate composition for bacterial growth and cadmium removal using response surface methodology [J].
Bhatia, Divya ;
Kumar, Rajender ;
Singh, Rajesh ;
Chadetrik, Rout ;
Bishnoi, Narsi R. .
ECOLOGICAL ENGINEERING, 2011, 37 (12) :2076-2081
[3]   Dynamic biosorption of Zn(II) and Cu(II) using pretreated Rosa gruss an teplitz (red rose) distillation sludge [J].
Bhatti, Haq Nawaz ;
Khalid, Rabia ;
Hanif, Muhammad Asif .
CHEMICAL ENGINEERING JOURNAL, 2009, 148 (2-3) :434-443
[4]   Packed bed column studies for the removal of synthetic dyes from textile wastewater using immobilised dead C. tropicalis [J].
Charumathi, D. ;
Das, Nilanjana .
DESALINATION, 2012, 285 :22-30
[5]   Kinetics and equilibrium studies on removal of zinc(II) by untreated and anionic surfactant treated dead biomass of yeast: Batch and column mode [J].
Das, Devlina ;
Basak, Geetanjali ;
Das, Lakshmi V. Nilanjana .
BIOCHEMICAL ENGINEERING JOURNAL, 2012, 64 :30-47
[6]   Response Surface Approach for the Bisorption of Ag(I) by Macrofungus Pleurotus platypus [J].
Das, Devlina ;
Das, Nilanjana .
CLEAN-SOIL AIR WATER, 2011, 39 (02) :157-161
[7]   Kinetics, equilibrium and thermodynamic studies on biosorption of Ag(I) from aqueous solution by macrofungus Pleurotus platypus [J].
Das, Devlina ;
Das, Nilanjana ;
Mathew, Lazar .
JOURNAL OF HAZARDOUS MATERIALS, 2010, 184 (1-3) :765-774
[8]   Cadmium and nickel: Assessment of the physiological effects and heavy metal removal using a response surface approach by L. gibba [J].
Demim, S. ;
Drouiche, N. ;
Aouabed, A. ;
Benayad, T. ;
Dendene-Badache, O. ;
Semsari, S. .
ECOLOGICAL ENGINEERING, 2013, 61 :426-435
[9]   Sorption of Ni(II) ions from aqueous solution by Lewatit cation-exchange resin [J].
Dizge, Nadir ;
Keskinler, Buelent ;
Barlas, Hulusi .
JOURNAL OF HAZARDOUS MATERIALS, 2009, 167 (1-3) :915-926
[10]  
Evans M., 2003, Optimization of Manufacturing Processes: A Response Surface Approach