Computer applications in biotechnology : a postprint volume from the 6th International Conference, Garmisch-Partenkirchen, Germany, 14-17 May 1995
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書誌事項
Computer applications in biotechnology : a postprint volume from the 6th International Conference, Garmisch-Partenkirchen, Germany, 14-17 May 1995
Published for the International Federation of Automatic Control by Pergamon, 1995
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注記
"6th International Conference on Computer Applications in Biotechnology - CAB 6 in continuation of the 2nd IFAC Symposium on Modelling and Control of Biotechnical Processes and the 5th International Conference on Computer Applications in Fermentation Technology"--p.[iii]
Includes bibliographical references and indexes
内容説明・目次
内容説明
The 6th Computer Applications in Biotechnology (CAB6) conference was a continuation of two series of events: the IFAC symposia on Modelling and Control of Biotechnical Processes and the International Conferences on Computer Applications in Fermentation Technology. This conference provided the opportunity for both sides, leading researchers and industrial practitioners, in this interdisciplinary field to exchange new ideas and technology, concepts and solutions. This postprint volume contains all those papers which were presented at the conference.
目次
- Part 1 Advanced measuring and bioprocess monitoring techniques: statistical data-processing from on-line laser turbidimeter and auto-feeding of natural complex nutrients in semi-batch cultures, T. Yamane et al
- feedback control of a recombinant fed-batch fermentation using on-line HPLC measurements, V.M. Saucedo et al. Part 2 Strategies and new concepts in process data analysis: exploratory diagnosis of large-scale chromatographic processes by principle component analysis, R.M. Chandwani et al
- reaction mechanisms and cell density estimators for animal cell cultures, V. Chotteau et al. Part 3 Advanced (intelligent) control of bioprocesses: advanced supervision of mammalian cell cultures using hybrid process models, M. Dors et al
- an advanced control method based on the pattern recognize and neural network for bioprocess, S. Wang et al. Part 4 Modelling of cell metabolism and its regulation: on-line physiological state recognition and parameter estimation in the metabolic reaction model using error vectors, H. Shimizu et al
- modelling of short term crabtree-effect in baker's yeast, M. Rizzi et al. Part 5 Progress in process modelling and identification: comparing different modelling techniques for the "escherichia coli" fermentation process, M.R. Warnes et al
- modelling of stirred tank bioreactors, S. Schmalzriedt et al. Part 6 Future trends in computer applications in biotechnology: texture characterization of colonies on solid substrate, M.N. Pons et al
- a systematic approach to structured biological models, G Breuel et al. Part 7 Advanced measuring and bioprocess monitoring techniques: substrate consumption rate - new concept of measuring and monitoring in the activated sludge process, J. Czeczot
- new hardware and software concepts for fully automated analysis and data processing, A. Riek et al. Part 8 Strategies and new concepts in process data analysis: interaction evaluation of NMR spectra from "in vivo" isotape labelling experiments, R. Wittig et al
- the on-line comparison of a measured vs. calculated oxygen mass transfer coefficient - a useful parameter for fault diagnosis, D.R. Walwyn. Part 9 Progress in process modelling and identification: an evolutionary algorithm for initial state and parameter estimation in complex biochemical models, K. Schmidt and S.H. Isaacs
- education of beer brewing physiology and technology using PSI simulation language, J. Votruba et al. Part 10 Advanced (intelligent) control of bioprocesses: simulation support for operator control of the wastewater treatment plant, M. Metzger
- fuzzy control of the substrate concentration in a bioreactor, M. Boll et al. Part 11 Modelling of cell metabolism and its regulation: simulation of cell cycle dependent growth and metabolism in animal cell fermentation, B. Szperalski et al
- structured dynamic modelling of viral infection in cell culture, C.S. Sanderson et al. Part 12 Future trends in computer applications in biotechnology: optimization (Part contents)
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