Abstract
The interest in Glutathione (GSH) application has markedly increased in the field of medicine, toxicology, drug delivery and flavor industry. Modeling of Saccharomyces cerevisiae NCIM 3345 for growth and GSH production is desired for future optimization in fermentation. GSH production was carried out in submerged fermentation using Saccharomyces cerevisiae NCIM 3345. The media used for fermentation was initially maintained at 5.5 pH, incubated at 30 °C with mixing at 150 rpm. The maximum yield of GSH obtained after 16-h fermentation was 157.5 mg/L. Many kinetic models (unstructured) were used for better understanding of the correlation between the biomass growth and product (GSH) formation mechanism in S. cerevisiae. Biomass growth was best predicted by Logistic model (R2 = 0.99) while GSH production and glucose i.e. substrate utilization were best predicted by Luedeking-Piret model (R2 = 0.98) and modified Luedeking-Piret model (R2 = 0.99) respectively. Many important model parameters like specific growth rate at t0 (µ0 = 0.37 h−1), growth associated (α = 8.945) and non-growth associated (β = 2.039) product formation co-efficient were also obtained. The good agreement observed between predicted profiles of fermentation with experimental profiles indicates that the above mentioned kinetic models (unstructured) are capable of describing fermentation profiles effectively.
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We are very much grateful that, department of biotechnology at KIT’s College Of Engineering provided us an opportunity to utilize their facilities to conduct this research work as expected.
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Dhavale, A., Vhanmarathi, A., Deshmukh, S., Dabeer, S. (2016). Unstructured Kinetic Modeling of Glutathione Production by Saccharomyces cerevisiae NCIM 3345. In: B. D., P., Gummadi, S., Vadlani, P. (eds) Biotechnology and Biochemical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-1920-3_2
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DOI: https://doi.org/10.1007/978-981-10-1920-3_2
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