2013
DOI: 10.11118/actaun201260050019
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Growth models of Thermus aquaticus and Thermus scotoductus

Abstract: BABÁK, L., ŠUPINOVÁ, P., BURDYCHOVÁ, R.: Growth models of Thermus aquaticus and Thermus scotoductus. Acta univ. agric. et silvic. Mendel. Brun., 2012, LX, No. 5, pp. 19-26 Members of the genus Thermus family are signifi ant producers of secondary metabolites, which are very commonly used in industry. Beside the productivity, it is also important to study the growth curve of each strain. The mathematical models which are commonly used to describe behavior of microbial strains under diff erent physical and ch… Show more

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Cited by 7 publications
(6 citation statements)
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“…Where a is the population size at time t=0, k is the carrying capacity, μm is the intrinsic growth rate and represents growth rate per capita [15]. The population size stabilizes to the carrying capacity k as t (x) inclines to infinity, Although the von Bertalanffy model has been traditionally used for modelling the increase in fish weight [16], it has found use in modelling the growth in other organisms such as chicken, tumour and cancer growth [17], Daphnia magna [18], seaweed [19] and microorganims' growth [20][21][22][23][24][25].…”
Section: Resultsmentioning
confidence: 99%
“…Where a is the population size at time t=0, k is the carrying capacity, μm is the intrinsic growth rate and represents growth rate per capita [15]. The population size stabilizes to the carrying capacity k as t (x) inclines to infinity, Although the von Bertalanffy model has been traditionally used for modelling the increase in fish weight [16], it has found use in modelling the growth in other organisms such as chicken, tumour and cancer growth [17], Daphnia magna [18], seaweed [19] and microorganims' growth [20][21][22][23][24][25].…”
Section: Resultsmentioning
confidence: 99%
“…[Case in point:] Previous works [12,25] have explored the kinetics of Mo-blue creation; nevertheless, in order to acquire the growth rate correctly for secondary modeling, they always resort to linearizing the production profile with time. This study aims to compare and contrast the Logistic [26,27], Gompertz [27,28], Richards [27,29], Schnute [27], Baranyi-Roberts [30], Von Bertalanffy [31,32], Buchanan three-phase [1], and most recently Huang model [3] (Table 1) models for predicting Mo-blue production in this bacterium. Nonlinear regression analysis of Mo-blue production has many benefits, so this study will For the Baranyi-Roberts model, the lag time (λ) (h -1 ) or (d -1 ) can be calculated as h0=µm For modified Schnute, A =µ/α…”
Section: Historymentioning
confidence: 99%
“…The molybdenum reduction to molybdenum blue is a detoxification process, whereas the production of Mo-blue is a growth-associated process [66,67,90,[94][95][96]102,109,131,149,150]. Various approaches to reduction modeling have been previously used [151], including logistic [144,152], Gompertz [144,153], Richards [144,154], Schnute [144], , von Bertalanffy [156,157], Buchanan three-phase [158], and the Huang model, which was used most recently [159] (Table 1) to model Mo-blue production from bacteria. It should be noted that the maximum specific growth rate or µ m was modified to q m and represents the maximum specific reduction rate.…”
Section: Mathematical Modelling Of Molybdenum Reduction Profile and Kineticsmentioning
confidence: 99%