Artificial neural network (ANN) approach for modelling of arsenic (III) biosorption from aqueous solution by living cells of bacillus cereus biomass

Chemical Engineering Journal

Volumn 178, Issue , 2011, Pages 15-25

  Giri, A K ^a   Patel, R K ^a   Mahapatra, S S ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Arsenic (III); Artificial neural network; Bacillus cereus; Biosorption; Modelling

Indexed keywords

ADSORPTION; ARSENIC; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; BACTERIOLOGY; BIOMASS; BIOSORPTION; DEEP NEURAL NETWORKS; EFFICIENCY; MODELS; NEURAL NETWORKS; SOLUTIONS; SORPTION; TRANSFER FUNCTIONS;

ARSENIC(III); BACKPROPAGATION LEARNING ALGORITHM; DEGREE OF CORRELATIONS; EXPERIMENTAL SET UP; INITIAL CONCENTRATION; LINEAR TRANSFER FUNCTION; REMOVAL EFFICIENCIES; SIGMOID TRANSFER FUNCTION;

BACILLUS CEREUS;

BACILLUS CEREUS;

EID: 84857656700     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2011.09.111     Document Type: Article

References (44)

1. J. Matschullat, Arsenic in the geosphere-a review, Sci. J. Total Environ. 249 (2002) 297-312.
2. P.L. Smedley, D.G. Kinniburgh, Sources and behavior of arsenic in natural water, in: United Nations Synthesis Report on Arsenic in Drinking Water, 2005 (Chapter 1).
3. D. Ranjan, M.H. Talat, S.H. Hasan, Biosorption of arsenic from aqueous solution using agricultural residue 'rice polish', J. Hazard. Mater. 166 (2009) 1050-1059.
4. S.Y. Thomas, T.G. Choong, Y. Robiah, F.L. Gregory Koay, I. Azni, Arsenic toxicity, health hazards and removal techniques from water: an overview, Desalination 217 (2007) 139-166.
5. S. Wang, C.N. Mulligan, Speciation and surface structure of inorganic arsenic in solid phases: a review, Environ. Int. 34 (2008) 867-879.
6. A.H. Smith, P.A. Lopipero, M.N. Bates, C.M. Steinmaus, Arsenic epidemiology and drinking water standards, Science 296 (21) (2002) 2145-2146.
7. M. Zaw, M.T. Emett, Arsenic removal from water using advanced oxidation process, Toxicol. Lett. 133 (2002) 113-118.
8. F.S. Zhang, H. Itoh, Iron oxide-loaded slag for arsenic removal from aqueous system, Chemosphere 60 (2005) 319-325.
9. N. Balasubramanian, T. Kojima, C. Ahmed Basha, C. Srinivasakannan, Removal of arsenic from aqueous solution using electrocoagulation, J. Hazard. Mater. 167 (2009) 966-969.
10. G. Ghurye, L. Clifford, D.A. Tripp, Combined arsenic and nitrate removal by ion exchange, J. Am. Water Works Assoc. 91 (10) (1999) 85-96.
11. S. McNeill, M. Edwards, Predicting arsenic removal during metal hydroxide precipitation, J. Am. Water Works Assoc. 89 (1997) 75-82.
12. D.H. Kim, K.W. Kim, J. Cho, Removal and transport mechanisms of arsenics in UF and NF membrane processes, J. Water Health 4 (2) (2006) 215-223.
13. P. Kumari, P. Sharma, S. Srivastava, M.M. Srivastava, Biosorption studies on shelled Moringa oleifera Lamarck seed powder: removal and recovery of arsenic from aqueous system, Int. J. Miner. Process. 78 (2006) 131-139.
14. V.K. Sharma, M. Sohn, Aquatic arsenic: toxicity, speciation, transformations, and remediation, Environ. Int. 35 (2009) 743-759.
15. S. Ridvan, Y. Nalan, D. Adil, Biosorption of cadmium, lead, mercury, and arsenic ions by the fungus Penicillium purpurogenum, Sep. Sci. Technol. 38 (9) (2003) 2039-2053.
16. D. Pokhrel, T. Viraraghavan, Arsenic removal from an aqueous solution by modified A. niger biomass: batch kinetic and isotherm studies, J. Hazard. Mater. 150 (2007) 818-825.
17. C.T. Kamala, K.H. Chu, N.S. Chary, P.K. Pandey, S.L. Ramesh, A.R.K. Sastry, K. Chandra Sekhar, Removal of arsenic (III) from aqueous solutions using fresh and immobilized plant biomass, Water Res. 39 (13) (2005) 2815-2826.
18. G.S. Murugesan, M. Sathishkumar, K. Swaminathan, Arsenic removal from groundwater by pretreated waste tea fungal biomass, Bioresour. Technol. 97 (3) (2006) 483-487.
19. T. Akar, S. Tunali, I. Kiran, Botrytis cinerea as a new fungal biosorbent for removal of Pb (II) from aqueous solutions, Biochem. Eng. J. 25 (2005) 235-243.
20. A. Gupta, V.S. Chauhan, N. Sankararamakrishnan, Preparation and evaluation of iron chitosan composites for removal of As (III) and As (V) from arsenic contaminated real life groundwater, Water Res. 43 (2009) 3862-3870.
21. K. Vijayaraghavan, J. Jegan, K. Palanivelu, M. Velan, Biosorption of copper, cobalt and nickel by marine green algae Ulva reticulate in a packed column, Chemosphere 60 (2005) 419-426.
22. A.Y Dursun, A comparative study on determination of equilibrium, kinetic and thermodynamic parameters of biosorption of copper (II) and lead (II) ions onto pretreated Aspergillus niger, Biochem. Eng. J. 28 (2006) 187-195.
23. A. Kapoor, T. Viraraghavan, D.R. Cullimore, Removal of heavy metals using Aspergillus niger, Bioresour. Technol. 70 (1999) 95-104.
24. F. Veglio, F. Beolchini, Removal of metals by biosorption: a review, Hydrometallurgy 44 (1997) 301-316.
25. J. Pan, X. Ge, R. Liu, H. Tang, Characteristic features of Bacillus cereus cell surface with biosorption of Pb (II) ions by AFM and FT-IR, J. Colloid Interface Sci. 52 (2006) 89-95.
26. 1 16, J. Hazard. Subs. Res. 5 (2005) 1-21.
27. G. Annadurai, Y.L. Lai, F.L. Jiunn, Biodegradation of phenol by Pseudomonas pictorium on immobilized within chitin, Afr. J. Biotech. 6 (2007) 296-303.
28. 2 using artificial neural networks, Dyes Pigments 77 (2008) 288-294.
29. A.C. Texier, Y. Andres, C. Faur-Brasquet, L.P. Cloirec, Fixed-bed study for lanthanide (La, Eu, Yb) ions removal from aqueous solutions by immobilized pseudomonas aeruginosa: experimental data and modelization, Chemosphere 47 (2002) 333-342.
30. K.H. Chu, Prediction of two-metal biosorption equilibria using a neural network, Eur. J. Miner. Process. Environ. Prot. 3 (2003) 119-127.
31. K. Yetilmezsoy, S. Demirel, Artificial neural network (ANN) approach for modeling of Pb (II) adsorption from aqueous solution by Antep pistachio (Pistacia vera L.) shells, J. Hazard. Mater. 153 (2008) 1288-1300.
32. D. Saha, A. Bhowal, S. Datta, Artificial neural network modeling of fixed bed biosorption using radial basis approach, Heat Mass Transfer 46 (2010) 431-436.
33. A.E. Greenberg, R.R. Trussell, L.S. Clesceri, Standard Methods for the Examination of Water and Wastewater, 16th ed., APHA, AWWA, WPCF, Washington, DC, 2005.
34. D.P.B.T.B. Strik, A.M. Domnanovich, L. Zani, R. Braun, P. Holubar, Prediction of trace compounds in biogas from anaerobic digestion using the MATLAB Neural Network Toolbox, Environ. Model. Softw. 20 (2005) 803-810.
35. M.M. Hamed, M.G. Khalafallah, E.A. Hassanien, Prediction of wastewater treatment plant performance using artificial neural networks, Environ. Model. Softw. 19 (2004) 919-928.
36. F. Pangnanelli, P.M. Papini, M. Toro, F. Veglio, Biosorption of metal ions on Arthrobacter sp.: biomass characterization and biosorption modeling, Environ. Sci. Technol. 34 (2000) 2773-2778.
37. W. YunHai, F. ShiXun, L. Bin, M. XianMiao, The characteristics of Escherichia coli adsorption of arsenic (III) from aqueous solution, World J. Microbiol. Biotechnol. 26 (2010) 249-256.
38. B.E. Reed, R. Vaughan, L. Jiang, As (III), As (V), Hg and Pb removal by Fe-oxide impregnated activated carbon, J. Environ. Eng. 126 (2000) 869-873.
39. M.D. Mashitah, Z. Zulfadhly, S. Bhatia, Binding mechanism of heavy metals biosorption by Pycnoporus sanguineus, J. Artif. Cells Blood Substit. Immobil. Biotechnol. 27 (5-6) (1999) 441-445.
40. Z. Aksu, Determination of the equilibrium, kinetic and thermodynamic parameters of the batch biosorption of nickel (II) ions onto Chlorella vulgaris, Process Biochem. 38 (2002) 89-99.
41. S. Gob, E. Oliveros, S.H. Bossmann, A.M. Braun, R. Guardani, C.A.O. Nascimento, Modeling the kinetics of a photochemical water treatment process by means of artificial neural networks, Chem. Eng. Process. 38 (1999) 373-382.
42. N.G. Turan, B. Mesci, O. Ozgonenel, The use of artificial neural networks (ANN) for modeling of adsorption of Cu (II) from industrial leachate by pumice, Chem. Eng. J. 171 (3) (2011) 1091-1097.
43. N.G. Turan, B. Mesci, O. Ozgonenel, Artificial neural network (ANN) approach for modeling Zn(II) adsorption from leachate using a new biosorbent, Chem. Eng. J. 173 (1) (2011) 98-105.
44. S. Aber, A.R. Amani-Ghadim, V. Mirzajani, Removal of Cr (VI) from polluted solutions by electrocoagulation: modeling of experimental results using artificial neural network, J. Hazard. Mater. 171 (2009) 484-490.