2005
DOI: 10.1016/j.ijfoodmicro.2004.12.009
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Optimization of medium composition for the production of a probiotic microorganism, Lactobacillus rhamnosus, using response surface methodology

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Cited by 84 publications
(60 citation statements)
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“…0.95% (w/v) for each, were slightly higher than the level of supplementation reported by Masuda et al, (2006). On the other hand, the level optimized for different media constituents in the present study are found to be less than the data reported by other researchers (Liew et al, 2005;Bevilacqua et al, 2008;Chang and Liew, 2012). The difference found in the studies regarding level of YE and PP to obtain maximum biomass production from lactobacilli may be mainly due to addition of other ingredients such as glucose, meat extract, tryptone, casein or other protein hydrolysates and salts along with YE and PP which may provide growth nutrients to lactobacilli and thereby reduces the requirement of YE and PP.…”
Section: Effect On Biomasscontrasting
confidence: 92%
“…0.95% (w/v) for each, were slightly higher than the level of supplementation reported by Masuda et al, (2006). On the other hand, the level optimized for different media constituents in the present study are found to be less than the data reported by other researchers (Liew et al, 2005;Bevilacqua et al, 2008;Chang and Liew, 2012). The difference found in the studies regarding level of YE and PP to obtain maximum biomass production from lactobacilli may be mainly due to addition of other ingredients such as glucose, meat extract, tryptone, casein or other protein hydrolysates and salts along with YE and PP which may provide growth nutrients to lactobacilli and thereby reduces the requirement of YE and PP.…”
Section: Effect On Biomasscontrasting
confidence: 92%
“…This approach provides statistically reliable results with fewer number of experiments and are very useful for the development, improvement and optimization of the biomanufacturing processes. [129][130][131] RSM is based on analysis of responses induced by specic factors. This methodology is also useful in determining the direction of subsequent experiment towards an optimum point where the equation can be determined from the optimization point of the response surface.…”
mentioning
confidence: 99%
“…Therefore, using statistical tool such as central composite design is very useful because it helps to study the effect of independent variables influencing the responses by changing them simultaneously. This approach provides statistically reliable results with fewer numbers of experiments and can be applied for the development, improvement and optimization of the biomanufacturing process [21][22][23]. Conventional screening has been applied to estimate the range of encapsulating matrices compositions using alginate and gum Arabic to encapsulate BSA.…”
Section: Formulation Optimization By Central Composite Designmentioning
confidence: 99%