Predictive modelling of growth and enzymatic synthesis and activity by a cocktail of Yarrowia lipolytica,Zygosaccharomyces bailii and Pichia anomala |
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| Affiliation: | 1. Institut für Lebensmittelhygiene, Leipzig University, An den Tierkliniken 1, D-04103 Leipzig, Germany;2. Food Microbiology Unit, Department of Health and Human Science, London Metropolitan University, 166-220 Holloway Road, London N7 8DB, UK;1. Department of Pharmacy, University of Copenhagen, DK-2100 Copenhagen, Denmark;2. Department of Drug Design and Pharmacology, University of Copenhagen, DK-2100 Copenhagen, Denmark;3. Department of Bioanalysis, H. Lundbeck A/S, DK-2500 Valby, Denmark;4. Biologics and Pharmaceutical Science, H. Lundbeck A/S, DK-2500 Valby, Denmark;1. Institute of Nuclear Physics, 1, Ibragimov St., Almaty 050032, Kazakhstan;2. L.N. Gumilyov Eurasian National University, 2, Satpayev Str., Astana 010008, Kazakhstan;3. Ural Federal University, 19 Mira St., Yekaterinburg 620002, Russia;4. Lomonosov Moscow State University, Leninskie Gory, Moscow 119991, Russia;5. SSPA “Scientific-Practical Materials Research Centre of NAS of Belarus”, 19 P. Brovki Str., Minsk 220072, Belarus;1. Department of Physics, Faculty of Science, University of Ngaoundere, P.O. Box 454, Ngaoundere, Cameroon;2. School of Molecular Sciences, The University of Western Australia, Perth, WA 6009, Australia |
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| Abstract: | The aims of the investigations are the development and combination of predictive models for growth (increase in cellular number) and lipase synthesis and protease activity by a cocktail of yeast species comprising Yarrowia lipolytica, Zygosaccharomyces bailii and Pichia anomala. Determinations of yeast number and enzyme synthesis and activity were made within the three-dimensional matrix of environmental conditions incorporating temperatures between 2°C and 20°C, pH values between 4.0 and 7.5 and water activity (aw) between 0.95 and 0.995. The microbiological data produced a reliable model, but it was not possible to use the curve-fitting function to fit the enzymatic data, since most enzyme synthesis and activity takes place during the stationary phase of growth. A predictive generic model for growth of yeasts is published and a database of systematic information describing enzyme synthesis and activity within the matrix of environmental conditions investigated will be made available. |
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