2010
DOI: 10.1016/j.lwt.2009.09.018
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Application of a model using the phenomenological approach for prediction of growth and xanthan gum production with sugar cane broth in a batch process

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Cited by 26 publications
(18 citation statements)
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“…This facilitated the withdrawal of the fermented broth cells. This procedure was the same adopted by Faria et al [9] . The supernatant was filtered and treated with a saturated solution of KCl, and the polymer was recovered by precipitation with ethanol.…”
Section: Recovery and Purification Of Biopolymermentioning
confidence: 99%
“…This facilitated the withdrawal of the fermented broth cells. This procedure was the same adopted by Faria et al [9] . The supernatant was filtered and treated with a saturated solution of KCl, and the polymer was recovered by precipitation with ethanol.…”
Section: Recovery and Purification Of Biopolymermentioning
confidence: 99%
“…Extracellular heteropolysaccharides, for instance, are growth-associated substances produced by many species of lactic acid bacteria (Degeest et al 2001) as are xanthan gum produced by Xanthomonas campestris (Faria et al 2010), or polyhydroxybutyric acid, by Alcaligenes eutrophus (Smets et al 2004). The ability to maintain cells in a particular metabolic or physiological state related to μ, promoting a particular metabolism for the production of secondary metabolites, such as prodigiosins (Chang et al 2011), is of particular relevance to biotechnology and pharmaceutical industries.…”
Section: Product Formation Rate and Product Quantitymentioning
confidence: 99%
“…They are applicable to many situations of practical interest. As highlighted by Faria et al (2010), these simple models are based on balances over substrate(s), biomass, and product(s) concentrations in the form of a system of differential equation to describe, among others, μ. Indeed, μ is dependent on a myriad of factors, such as pressure, temperature, pH, inhibitors, and also substrate, product, and biomass concentration (Bastin and Dochain 1986).…”
Section: Modelsmentioning
confidence: 99%
“…Xanthan production has usually been modeled using unstructured kinetic models [9], but these kinds of models are unable to take into account the influence of certain variables such as pH, superficial gas velocity, stirred speed and medium composition changes, on the values of the parameters. Although a more robust strategy for predicting the microbial growth and the production of xanthan gum is the use of structured kinetic models [10][11][12][13], these models are complex, since it is rather difficult to determine experimentally all the components associated with the microbial metabolism.…”
Section: Introductionmentioning
confidence: 99%
“…Simulated data from the hybrid model for batch bioreactor for cell concentration (dashed line); substrate concentration (solid line); product concentration (dotted line); and experimental data for cell (filled diamond), substrate (filled square) and product (filled triangle) concentrations for runs[7][8][9] …”
mentioning
confidence: 99%