Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/54166
Title: Statistical Optimization Approaches for High Cell Biomass Production of Lactobacillus casei
Authors: Eyahmalay, J
Elsayed, E A
Dailin, D J
Ramli, S
Sayyed, R Z
El-Enshasy, H A
Keywords: Lactobacillus casei;High cell biomass;Statistical optimization;Medium optimization;Box-Behnken design
Issue Date: Mar-2020
Publisher: NISCAIR-CSIR, India
Abstract: Probiotic bacteria are known to treat and prevent diseases and hence promote physical and mental wellness due to their significant brain-gut relationship. The main challenge involved in probiotic commercialization is the bio processing limitation to produce high cell mass, especially with the cultivation of lactic acid bacteria which produces lactic acid as a by product. Synthesis of lactic acid by lactic acid bacteria inhibits bacterial growth, and in turn disrupts high cell mass production. Current work presents the findings for Lactobacillus casei medium optimization by response surface methodology in shake flask level. A simple medium using 4 components: lactose, soybean meal, yeast extract and magnesium sulphate has been identified to produce high cell mass than generic mediaused for probiotic cultivation, such as the MRS medium. Secondly, response surface methodology using Box-Behken Design was employed as an optimization strategy. After optimization process, the production of Lactobacillus casei biomass increased by about 164.6% recording 6.51g.L-1 compared to cell biomass obtained using initial un-optimized medium (2.46g.L-1).
Page(s): 216-221
URI: http://nopr.niscair.res.in/handle/123456789/54166
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.79(03) [March 2020]

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