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- W2278348051 abstract "This paper presents an efficient approach to culture medium optimization by a central composite rotatable design (CCRD) coupled to non-linear mathematical programming (NLP). This procedure was applied for the investigation regarding the growth of Saccharomyces cerevisiae var. boulardii in cheese whey permeate (CWP), which is an attractive raw material for the production of bioproducts, mainly due to its high lactose content. The tests comprehended lactose hydrolysis followed by glucose-galactose anaerobic fermentation in a batch system. A CCRD was proposed to evaluate the following factors: concentration of hydrolyzed CWP, and N, Mg and K supplementation, where the system response was considered to be cell growth. The cultivation media NLP model was empirically determined by a statistical methodology, and was also based on the elemental composition and the stoichiometry of the yeast anaerobic cultivation. The kinetic mathematical model of the yeast cultivation was proposed, where inhibition by the substrates of fast-glucose and slow-galactose metabolization, inhibition by the product ethanol, catabolite repression by glucose, and metabolic products formation were adequately considered. In addition, the response surface provided by the kinetic modeling was also analyzed. The global optimum value of biomass yield was equal to Yx/s = 0.50, where the cell biomass was estimated to be 8.20 g L−1 by using 40 g L−1 hydrolyzed CWP." @default.
- W2278348051 created "2016-06-24" @default.
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- W2278348051 date "2016-06-01" @default.
- W2278348051 modified "2023-09-25" @default.
- W2278348051 title "Medium optimization and kinetics modeling for the fermentation of hydrolyzed cheese whey permeate as a substrate for Saccharomyces cerevisiae var. boulardii" @default.
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- W2278348051 cites W1975454606 @default.
- W2278348051 cites W1975602298 @default.
- W2278348051 cites W1979450767 @default.
- W2278348051 cites W1979855573 @default.
- W2278348051 cites W1982383230 @default.
- W2278348051 cites W1983065437 @default.
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- W2278348051 cites W2002069472 @default.
- W2278348051 cites W2008054896 @default.
- W2278348051 cites W2008574647 @default.
- W2278348051 cites W2009890200 @default.
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- W2278348051 doi "https://doi.org/10.1016/j.bej.2016.02.014" @default.
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