A self-tuning vision system for monitoring biotechnological processes. I. Application to production of pullulan by Aureobasidium pullulans

Biotechnology and Bioengineering

Volumn 51, Issue 5, 1996, Pages 501-510

  Guterman, H ^a   Shabtai, Y ^a  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

Aureobasidium pullulans; fermentation; fuzzy logic; image processing; morphogenesis; neural network; pullulan

Indexed keywords

CELL CULTURE; FERMENTATION; FUZZY SETS; IMAGE PROCESSING; MONITORING; MORPHOLOGY; NEURAL NETWORKS;

AUREOBASIDIUM PULLULANS; CELL POPULATION; MORPHOGENESIS; SELF TUNING VISION SYSTEM;

SELF TUNING CONTROL SYSTEMS;

PULLULAN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUREOBASIDIUM PULLULANS; BACTERIAL METABOLISM; CELL PROLIFERATION; CELL STRUCTURE; FERMENTATION; IMAGE PROCESSING; MONITORING; NONHUMAN;

EID: 0030570923     PISSN: 00063592     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0290(19960905)51:5<501::AID-BIT1>3.3.CO;2-Q     Document Type: Article

References (34)

1. Bermejo, J. M., Dominiguez, J. B., Goni, F. M., Uruburu, F. 1981 a. Influence of carbon and nitrogen sources on the transition from yeast like cells to chlamidospores in Aureobasidium pullulans. Antonie Van Leeuwenhoeck 47: 107-119.
2. Bermejo, J. M., Dominiguez, J. B., Goni, F. M., Uruburu, F. 1981b. Influence of pH on the transition from yeast like cells to chlamidospores in Aureobasidium pullulans. Antonie Van Leeuwenhoeck 47: 385-392.
3. Brown, R. G., Hanic, L. A., Hasia, M. 1973. Structure and chemical composition of yeast chlamydospores of Pullularia pullulans. J. Microbiol. 19: 163-168.
4. Bull, D. N. 1983. Automation and optimization of fermentation processes, pp. 359-375. In: Annual report on fermentation processes, vol. 6. Academic Press, New York.
5. Camp, C. E., Sublette, K. L. 1992. Control of a Thiobacillus denitrificans bioreactor using machine vision. Biotechnol. Bioeng. 39: 529-538.
6. Catley, B. J. 1972. Pullulan elaboration, an inducible system of Pullularia pullulans. FEBS Lett. 20: 174-176.
7. Catley, B. J. 1979. Pullulan synthesis by Aureobasidium pullulans, pp. 69-84. In: R. C. W. Berkley, G. W. Gooday, and D. C. Elwood (eds.), Microbiol polysaccharides and polysaccharases. Academic Press, Orlando, FL.
8. Catley, B. J. 1980. The extracellular polysaccharide, pullulan produced by Aureobasidium pullulans, a relationship between elaboration rate and morphology. J. Gen. Microbiol. 120: 265-268.
9. Cybenko, G. 1989. Approximation by superpositions of a sigmoidal function. Math. Control Signals Syst. 2: 303-314.
10. Demain, A. L., Solomon, N. 1986. Industrial microbiology and biotechnology. American Society for Microbiology (ASM), Washington, DC.
11. Fukunaga, K. 1990. Introduction to statistical pattern recognition, 2nd edition. Academic Press, New York.
12. Gosh, A., Pal, N. R., Pal, S. K. 1993. Self-organization for object extraction using a multilayer neural network and fuzziness measures. IEEE Trans. Fuzzy Syst. 1: 54-68.
13. Guterman, H. 1994. Application of principal component analysis to the design of neural networks. Neural Parallel Sci. Comput. 2:43-54.
14. Heald, P. J., Kristiansen, B. 1985. Synthesis of polysaccharide by yeast-like forms of Aureobasidium pullulans. Biotechnol. Bioeng. 27: 1516-1519.
15. Klir, G. J., Foger, T. A. 1988. Fuzzy sets, uncertainty, and information. Prentice-Hall, Englewood Cliffs, NJ.
16. Kockova, K. A. 1990. Yeast and yeast-like organisms. VCH Verlagsge-sellscdaft, Weinheim, Germany.
17. LeDuy, A., Zajic, J. E., Luong, J. H. T., Choplin, L. 1988. Pullulan, pp. 650-660. In: H. F. Mark, N. M. Bikales, C. G. Overberger, G. Menges, and J. I. Kroschwitz (eds.), Encyclopedia of polymer science and engineering, vol. 13, 2nd edition. Wiley, Toronto.
18. Moller, S., Kristensen, C. S., Poulsen, L. K., Carstensen, J. M., Molin, S. 1995. Bacterial growth on surfaces: automated image analysis for quantification of growth rate-related parameters. Appl. Environ. Microbiol. 61: 741-748.
19. Packer, H. L., Keshavarz, E., Lilly, M. D. 1992. Estimation of cell volume and biomass of Penicillium chrysogenum using image analysis. Biotechnol. Bioeng. 39: 384-391.
20. Pechak, D. G., Crang, R. E. 1977. An analysis of Aureobasidium pullulans developmental stages by means of scanning electron microscopy. Mycologia 69: 783-792.
21. Pelczar, M. J., Jr., Chan, E. C. S., Kreig, N. R. 1986. The cultivation of bacteria, pp. 99-114. In: J. R. Pelczar, Chan, E. C. S. and Kreig, N. R. (eds.), Microbiology McGraw-Hill, New York.
22. Ren, J., Reid, J. F., Litchfield, J. B. 1994. Knowledge-based supervision and control of bioprocess with a machine vision-based sensing system. J. Biotechnol. 36: 25-34.
23. Rust, J. C. 1990. Computer-assisted microscopy: The measurement and analysis of images. Plenum Press. New York.
24. Schultz, B. E., Kraepelin, G., Hinkelmann, W. 1974. Factors affecting dimorphism in Mycophyta (Mucorales): a correlation with fermentation/respiration equilibrium. J. Gen. Microbiol. 82: 1-13.
25. Seviour, R. J., Kristiansen, B., Harvey, L. 1984. Morphology of Aureobasidium pullulans during polysaccharide elaboration. Trans. Br. Mycol. Soc. 82: 350-356.
26. Shabtai, Y., Mukmenev, I. 1995. Enhanced production of pigment-free pullulan by a morphogenetically arrested Aureobasidium pullulans (ATCC 42023) in a two stage fermentation with a shift from soy bean oil to sucrose. Appl. Microbiol. Biotechnol. 43: 595-603.
27. Volg, T. P., Mangis, J. K., Rigler, A. K., Zink, W. T., Alkon, D. L. 1988. Accelerating the convergence of the backpropagation method. Biol. Cybernet. 59: 257-263.
28. Wang, D. I. C., Cooney, C. L., Demain, A. L., Himprey, A. E., Lilly, M. D. 1979. Fermentation and enzyme technology. Wiley, New York.
29. Widrow, B., Lehr, M. A. 1990. 30 Years of adaptive neural networks: Perceptron, madeline, and backpropagation IEEE Proc. 78:1415-1442.
30. West, T. O., Reed-Hamer, B. 1993. Polysaccharide production by a reduced pigmentation mutant of the fungus Aureobsidium pullulans. FEMS Lett. 113: 345-350.
31. Yuen, S. 1974. Pullulan and its applications. Process Biochem. 9: 7-9.
32. Zadeh, L. A. 1976. The concept of a linguistic variable and its application to approximate reasoning. Inform. Sci. 8: 199-249.
33. Zhang, Q., Reid, J. F., Litchfield, J. B., Ren, J., Shiuan-Wu, C. 1995. Coupling a machine vision sensor and a neural net controller: controlling microbial cultivations. J. Biotechnol. 38: 219-228.
34. Zupan, J., Gasteiger, J. 1991. Neural networks: a new method for solving chemical problems or just a passing phase? Anal. Chim. Acta 248: 1-30.