Kinetics of Bifidobacterium longum ATCC 15707 growth |
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| Affiliation: | 1. Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan;2. CREST, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan;3. Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan;4. Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan;5. Department of Microbiology and Infectious Diseases, Nara Medical University, Kashihara, Nara, Japan;6. Department of Microbiology and Immunology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan;1. Institut für Biochemie und Biotechnologie, Martin-Luther Universität Halle-Wittenberg, Kurt-Mothes Strasse 3, D-06120 Halle/Saale, Germany;2. Institut für Physik, Martin-Luther-Universität Halle-Wittenberg, Betty-Heimann-Straße 7, D-06120 Halle/Saale, Germany;1. Western Michigan University, Department of Biological Sciences, United States;2. University of Notre Dame, Department of Biological Sciences, United States;3. Western Michigan University, Department of Chemistry, United States;1. Gastroenterology, Allergology and Pediatric Department, Polish Mother''s Memorial Hospital – Research Institute, Lodz, Poland;2. Department of Genetics, Polish Mother''s Memorial Hospital – Research Institute, Lodz, Poland;3. Laboratory Diagnostics Centre, Polish Mother''s Memorial Hospital – Research Institute, Lodz, Poland;1. SMBNOS, University of Bari, Italy;2. Institute of Biomembranes and Bioenergetics (IBBE), Italian Research Council (CNR), Bari, Italy;3. Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Universita‘ del Salento, Lecce, Italy;4. Nanoscience Institute-CNR, U.O.S. NNL, Lecce, Italy;1. PDVSA Intevep, Urb Santa Rosa Sector El tambor- 1012, Venezuela;2. Lone Star College, 20515 SH 249, Houston, TX 77070, USA;3. GALP Energia, Rua Tomas da Fonseca, Torre A, Piso 9, 1600-209 Lisboa, Portugal |
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| Abstract: | This study presents an analysis of a Bifidobacterium longum ATCC 15707 optimization study. Kinetic growth models were fitted to cultivations from a central composite circumscribed (CCC) experiment design for three variables (temperature as well as glucose and yeast extract concentration). The parameters of these kinetic models, μmax, KS, YXS and mS, were used as responses of the experiment design. This novel concept of combining optimization and modeling presented slightly different optimal conditions for B. longum growth from the original optimization study. However, the optimum of this study could be based on more scientific arguments. The parameters of the kinetic model represent the physiological effects that the cultivation parameters impose on the organism. A difference was observed in the optimum of the initial glucose concentration, which was originally thought to benefit process efficiency. This re-analysis showed that it is better for all aspects of cell physiology (substrate efficiency and growth rate) to use a lower initial glucose concentration. |
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