2011
DOI: 10.1016/j.fm.2010.05.004
|View full text |Cite
|
Sign up to set email alerts
|

Exploring the lag phase and growth initiation of a yeast culture by means of an individual-based model

Abstract: Yeast ageing and inoculum size are factors that affect successive industrial fermentation, particularly in those processes that reuse the yeast cells. The aim of the work is to explore the effects of inocula size and aging on the dynamics of yeast population. However, only individual-based modelling (IbM) makes possible studies of small, well characterized, microbial inocula. Here we have made use of INDISIM-YEAST to carry out these studies.Several simulations were performed to analyze inoculum size and their … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
28
0

Year Published

2011
2011
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 27 publications
(30 citation statements)
references
References 36 publications
2
28
0
Order By: Relevance
“…It is known that temperature is one of the most critical factors influencing the industrial fermentation, including specific growth rate and biomass yield. [17,18] Figure 1(B) shows that the maximal yeast count (1.01£10 9 CFU/g) was obtained at 30 C. After that, with increasing the temperature, the yeast count decreased rapidly. Thus, 30 C was defined as the optimal temperature.…”
Section: Single-factor Experimentsmentioning
confidence: 93%
“…It is known that temperature is one of the most critical factors influencing the industrial fermentation, including specific growth rate and biomass yield. [17,18] Figure 1(B) shows that the maximal yeast count (1.01£10 9 CFU/g) was obtained at 30 C. After that, with increasing the temperature, the yeast count decreased rapidly. Thus, 30 C was defined as the optimal temperature.…”
Section: Single-factor Experimentsmentioning
confidence: 93%
“…For this study, we used INDISIM-YEAST as the individual-based simulator, which is based on the generic simulator INDISIM [9,[11][12][13][14]. Although the reader can refer to some previously published papers for a description of different parts of INDISIM-YEAST [11,12], a formal and brief description of this simulation model is presented below in order to make this study more self-contained and autonomous.…”
Section: Methodsmentioning
confidence: 99%
“…This is a proof of the ability of INDISIM-YEAST to distinguish differences in the evolution of a population that emerges from small inocula with different age structures. In fact, it is particularly useful in the study of small inocula during the initial steps of growth because of the large influence of the discrete and asymmetrical nature of yeast cellular division [13]. It is here that this model has an edge over top-down continuous models, which are useful when the initial population contains a large number of cells and the interest is the inspection of average behaviours exhibited by those cells.…”
Section: Initial Growth Of the Yeast Populationmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, the exhaustion of utilisable carbon dioxide (Sezonov, Joseleau-Petit, & D'Ari, 2007) in the fermentation pots (18 mL in 50 mL), where cells are increasing in number, may also explain entry into the stationary phase of growth, although L. plantarum strains isolated from fermented maize porridges have been found to withstand low pH (2.5) (Kalui, Mathara, Kutima, Kiiyukia, & Wongo, 2009). The absence of lag time could be influenced by several factors such as the inoculum quantity, the environmental conditions of the original and the new growth medium, the growth stage of the microorganisms during the time of inoculation (Ginovart, Prats, Portell, & Silbert, 2011;Swinnen, Bernaerts, Dens, Geeraerd, & Van Impe, 2004) and probably the investigation period. The L. plantarum strains and the yeasts were suspended in PBS at an active growth stage and inoculated into the maize slurry environment that had enough nutrients to support their growth.…”
Section: Microbial Growthmentioning
confidence: 99%