Intelligent software analyzer design for parameters evaluation of ternary heavy metal ions removal by immobilized fungal biomass

International Journal of Biomathematics

Volumn 2, Issue 1, 2009, Pages 29-43

  Vassileva, Svetla ^a   Tsekova, Kolishka ^b   Christova, Darinka ^c   Todorova, Dessislava ^b  

^a BULGARIAN ACADEMY OF SCIENCES   (Bulgaria)

^b INSTITUTE OF MICROBIOLOGY   (Bulgaria)

^c INSTITUTE OF POLYMERS   (Bulgaria)

Author keywords

artificial intelligence (AI); immobilized fungal biomass; Software analyzer; ternary heavy metal ion removal

Indexed keywords

EID: 78049264916     PISSN: 17935245     EISSN: 17937159     Source Type: Journal    
DOI: 10.1142/S1793524509000510     Document Type: Article

References (19)

1. A. Riid and E. Rüstern, Fuzzy modeling and control of fed-batch fermentation, in Proc. 9th Int. Symp. System-Modelling-Control (Zakopane, Poland, 1998).
2. B. Volesky and Z. Holan, Biosorption of heavy metals, Rev. Biotech. Prog. 11 (1995) 235-250.
3. B. Volesky, Removal and recovery of heavy metals by biosorption, in Biosorption of Heavy Metal, ed. B. Volesky (CRC Press, Boca Raton, FL, 1990), pp. 7-14.
4. D. Nauck, F. Klawonn and R. Kruse, Foundations of Neuro-fuzzy Systems (John Wiley and Sons, New York, 1997).
5. J. Tomko, M. Bakor and M. Štofko. Biosorption of heavy metals by dry fungal biomass, Acta Metallurgika Slovaca 12 (2006) 447-451.
6. J.-S. R. Jang, C.-T. Sun and E. Mizutani, Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence (Prentice Hall, 1996).
7. K. Hanaki, S. Kirunmasuwan and T. Matsuo, Protection of Methanogenic bacteria from low pH and toxic materials by immobilization using polyvinyl alcohol, Wat. Res. 28(4) (1994) 877-885.
8. K.-M. Khoo and Y.-P. Ting, Biosorption of gold by immobilized fungal biomass, Biochem. Engin. J. 8 (2001) 51-59.
9. L. Tsoukalas and R. Uhrig, Fuzzy and Neural Approaches in Engineering (JohnWiley and Sons, New York, 1997).
10. M. Iqbal and A. Saeed, Entrapment of fungal hyphae in structural fibrous network of papaya wood to produce a unique biosorbent for the removal of heavy metals, Enzyme Microbial Tech. 39 (2006) 996-1001.
11. M. G. Gadd, Accumulation of metals by microorganisms and algae, in Biotechnology 1st edn, ed. H. J. Rehm, VCH Verlagsgesellschaft: Weinheim. 6b (1988) 401-433.
12. Pradhan and Rai, Biotechnological potential of Microcystis sp. in Cu, Zn and Cd biosorption from single and multimetallic systems, BioMetals 14 (2001) 67-74.
13. S. R. Bai and T. E. Abraham, Studies on chromium (VI) adsorption - desorption using immobilized fungal biomass, Bioresource Tech. 83 (2003) 17-26.
14. S. I. Vassileva, S. D. Mileva and P. T. Andreeva, Sensitivity analysis for environmental sensory models and monitoring networks, in Proc. Int. Symposium Ecology'2008 (Sunny Beach, Bulgaria, 2008).
15. S. Vassileva and X. Z. Wang, Neural network systems and their applications in software sensor systems for chemical and biotechnological processes, in Intelligence Systems: Technology and Applications, ed. C. T. Leondes, Vol. 1 (CRC Press, USA, 2002), pp. 291-335.
16. T. N. Abdel-Ghani and G. A. Elchaghaby, Influence of operating conditions on the removal of Cu, Zn, Cd and Pb ions from wastewater by adsorption, Int. J. Environ. Sci. Tech. 4(4) (2007) 451-456.
17. K. Tsekova, M. Ianis and S. Ganeva, Biosorption of binary mixtures of copper and cobalt by Penicillium cyclopium biomass, Comt. Rendus de l' Aiad. Bulgare Sci. 60(1) (2007) 63-68.
18. K. Tsekova, M. Ianis, V. Dencheva and S. Ganeva, Biosorption of binary mixtures of copper and cobalt by Penicillium brevicompactum, Z. Naturforsch 62c (2007) 261-264.
19. Y.-Z. Lu, Industrial Intelligent Control (John Wiley and Sons, New York, 1996).