1985
DOI: 10.1002/bit.260270423
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Optimizing alcohol production from whey using computer technology

Abstract: This study was undertaken with the major goal of optimizing the ethanol production from whey using computer technology. To reach this goal, a mathematical model that would describe the fermentation and that could be used for the optimization was developed. Kluyveromyces fragilis was the microorganism used to ferment the lactose in the whey into ethanol. Preliminary studies showed that K. fragilis produced about 90% of the theoretical ethanol yield when grown in whey-complemented media. However, when this yeast… Show more

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Cited by 24 publications
(12 citation statements)
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References 16 publications
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“…The maximum ethanol production (8.3g ethanol/L) was observed at 96h, representing 38% of the theoretical yield. It has been reported that the lactose concentration of whey is around 5% and protein around 0.9% (7,9,18). The limiting factor for whey fermentation by E. coli is essentially the nitrogen, because protein is not an available nitrogen source for this organism.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The maximum ethanol production (8.3g ethanol/L) was observed at 96h, representing 38% of the theoretical yield. It has been reported that the lactose concentration of whey is around 5% and protein around 0.9% (7,9,18). The limiting factor for whey fermentation by E. coli is essentially the nitrogen, because protein is not an available nitrogen source for this organism.…”
Section: Resultsmentioning
confidence: 99%
“…Several organisms have been tested for whey fermentation, however, the ethanol production, in general, is low (5,12,17,16). Attempts to improve the ethanol yield from lactose fermentation have been made (1,10,18). The development of the recombinant DNA technology made possible the construction of new strains capable of expressing genes originated from other organisms.…”
Section: Introductionmentioning
confidence: 99%
“…Among them, response surface methodology (RSM) is the one suitable method for identifying the effect of individual variables and for seeking the optimum conditions for a multivariable system efficiently. This method has been successfully applied to optimize alcoholic fermentation and other fermentation media (Maddox & Reichert 1977;Chen 1981Chen , 1996Zertuche & Zall 1985;Coteron et al 1993;Sunitha et al 1998;Ambati & Ayyanna 2001;Ratnam 2001;Ratnam et al 2003). A detailed account of this technique has been outlined (Cochran & Cox 1968).…”
Section: Introductionmentioning
confidence: 95%
“…-due to the significant duration of the process, there are no reliaЬle criteria for the detection of the equilibrium state-a precondition for starting the identification procedure of the static model (36); -the structure of the dynamic models, which reflects to а certain extent the physical nature of Biotechnology &. BioE 5/1991/6 the process is considered somewhat more informative than the Ьlack-box structure of the regression models.…”
Section: 1static Modelsmentioning
confidence: 99%
“…An alternative to it is the adoptation of а regression model for the static phase, its parameters being evaluated in а designed experiment (36).…”
Section: 1static Modelsmentioning
confidence: 99%