1959
DOI: 10.1002/jbmte.390010406
|View full text |Cite
|
Sign up to set email alerts
|

A kinetic study of the lactic acid fermentation. Batch process at controlled pH

Abstract: Kinetic data are needed to develop basic understanding of fermentation processes and to permit rational design of continuous fermentation processes.The kinetics of the fermentation of glucose to lactic acid have been studied at six constant pH levels between 4.5 and 6.0 by measuring the instantaneous rates of bacterial growth and of lactic acid formation throughout each fermentation.It was found that the instantaneous rate of acid formation dP/dt, should be related to the instantaneous rate of bacterial growth… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

11
254
2
8

Year Published

1997
1997
2017
2017

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 827 publications
(283 citation statements)
references
References 16 publications
11
254
2
8
Order By: Relevance
“…During these procedures the ordinary differential equations (ODE) were integrated numerically by means of the Differential Evolution (DE) algorithm [39] as described above. a -term of the Luedeking-Piret equation [35] Table 1 also demonstrates that the different substrates for the ethanol fermentation by Kluyveromyces marxianus do not affect the structure of the model, which follows from the identical parameter sets being eligible for the system of relevant ODE. Although, the numerical values of the parameters are noticeably affected.…”
Section: Resultsmentioning
confidence: 90%
See 1 more Smart Citation
“…During these procedures the ordinary differential equations (ODE) were integrated numerically by means of the Differential Evolution (DE) algorithm [39] as described above. a -term of the Luedeking-Piret equation [35] Table 1 also demonstrates that the different substrates for the ethanol fermentation by Kluyveromyces marxianus do not affect the structure of the model, which follows from the identical parameter sets being eligible for the system of relevant ODE. Although, the numerical values of the parameters are noticeably affected.…”
Section: Resultsmentioning
confidence: 90%
“…Thus, equation 2 represents the generalized population growth model where the rate constant µ values are determined by equation 1. As well as in equations 3 and 4 describing the rates of substrate consumption [27; 33] and product formation [35], respectively. The whole system of ODE describing the batch kinetics of fermentation by K. marxianus was solved using the Real-valued Variable-coefficient ODE solver, with the fixed-leading-coefficient implementation.…”
Section: Model Formulationmentioning
confidence: 99%
“…al, [18] had suggested the use of Leudeking-Piret model to represent the PHB production rate associated with both the growth and non-growth stage. The model, originally proposed by Luedeking and Piret [19] can be described as follows: dp dx x dt dt   (4) whereby  and  are the growth and non-growth associated constant, respectively. Substituting equation (1) and (2) into (4) and integrating will yield equation (5) …”
Section: Analytical Proceduresmentioning
confidence: 99%
“…A significant relationship was found in our data between the specific ethanol production rate, dP /(Xdt), and the specific growth rate, µ [dX/(Xdt)], which was expected with growth-associated product formation. Hence ethanol production in this model is viewed as a growth-associated relation with biomass 12 , and inclusion of a non-growth-associated term in this model was not justified in this case. However, a delay of ethanol production was found compared with the cell growth, and little ethanol was produced during the yeast lag growth phase.…”
Section: Model Developmentmentioning
confidence: 99%