Continuous cultivation of microorganisms

Málek, I; Řičica, J.

doi:10.1007/bf02866861

Cited by 4 publications

(4 citation statements)

References 66 publications

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“…Hence, model IV may also be regarded as an extension of model 11; the former includes the additional reaction (8).…”

Section: Staling Eflect Model IVmentioning

confidence: 99%

“…where CN is the concentration of nonviable mass. The constant K' represents the rate constant for reaction (8) and aTIt and aN are new stoichiometric constants whose significance are as follows: aTlt is the amount of inhibitor formed from unit mass of nonviable mass and is the amount of nonviable mass from deactivation of unit mass of viable mass. The constants used for the calculations on the model are listed in Table 11.…”

Section: Staling Eflect Model IVmentioning

confidence: 99%

“…Moreover, RIBlek concludes from an analysis of the literature that the question of physiological state in continuous cultures is of both theoretical and practical importance. 8 The structured models presented in this paper will regard the active biomass as made up of structural component masses. Although the structural complexity of biomass is recognized, it seems worthwhile to consider only two component masses for simplicity.…”

Section: Introductionmentioning

confidence: 99%

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Dynamics of microbial propagation: Models considering inhibitors and variable cell composition

Ramkrishna¹,

Fredrickson²,

Tsuchiya³

1967

Biotech & Bioengineering

139

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SummaryMathematical models for microbial growth in batch and continuous cultures are formulated. The models have been referred to as distributed models since the microbial population in a culture is looked upon as protoplasmic mass distributed nniformly throughout the culture. Growth is regarded as the increase in this mass by conversion of medium components into biological mass and metabolic products. Two sets of models have been presented. The first arise from inkoducing additional considerations into the model proposed by Nonod to account for ihe stationary phase and the phase of decline in a batch culture. These have been referred to as unstructured, distributed models since t,hey do not recognize any form of structure in the protoplasmic mass. The models in the second set are referred to as structured, distributed models. Structure is introduced by considering the protoplasmic mass to be composed of two groups of substances which interact wit.h each other and with substances in the environment to produce growth. The structured models account for the dependence of growth on the past history of t,he cells; thus they predict all growth phases observed in batch cultures, whereas the unstructured models do mot predict a lag phase. The full implications of the models for continuous propagation, as determined by the method of stability analysis and transient calculations, arc discussed. The models predict a number of new results and should be confronted with experiments.

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“…Hence, model IV may also be regarded as an extension of model 11; the former includes the additional reaction (8).…”

Section: Staling Eflect Model IVmentioning

confidence: 99%

Section: Staling Eflect Model IVmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamics of microbial propagation: Models considering inhibitors and variable cell composition

Ramkrishna¹,

Fredrickson²,

Tsuchiya³

1967

Biotech & Bioengineering

139

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“…However, it has been already widely recognized that knowledge of cell concentration alone is inadequate in general for representing the kinetics of cell growth, substrate utilization, and product formation in fermentation systems. Consequently, there have been efforts to develop striictured models, that is, models which contain information on population average cell composition, for use in design and analysis of fermentation processes (Fredrickson et al, 1967;Malek et al, 1969). This approach has the advantage that, because one is analyzing properties averaged over an entire population, large samples are available, and a broad class of analytical methods can be brought to bear in experiments.…”

Section: Conclusion and Significancementioning

confidence: 99%

Measurement of structured microbial population dynamics by flow microfluorometry

et al. 1978

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Commercial microbiological processes frequently contain dispersed microorganisms which are heterogeneous in their age, size, and composition. Relative protein and nucleic acid contents of individual bacteria in Bacillus subtilis submerged cultures have been measured experimentally using laser flow microfluorometry. Marginal and joint population composition density data and their complex patterns of evolution during batch growth provide an impetus and emerging basis for a new generation of potentially robust mathematical models of microbial systems.

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Development of soil microbiology methods: from respirometry to molecular approaches

Gabriel¹

2010

J Ind Microbiol Biotechnol

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This review deals with techniques and methods used in the study of the function and development of microorganisms occurring in soil with emphasis on the contributions of Czech Academician Ivan Málek and his coworkers or fellows (Jiří Macura, František Kunc) to the development of basic techniques used in soil microbiology. Early studies, including batch cultivation and respirometric techniques, as well as later developments of percolation and continuous-flow methods of cultivation of soil microorganisms are discussed. Recent developments in the application of analytical chemistry (HPLC or GC) and of molecular biological techniques to ecological questions that have revolutionized concepts in soil microbiology and microbial ecology are also briefly mentioned, including denaturing gradient gel electrophoresis (DGGE), temperature gradient gel electrophoresis (TGGE), phospholipid fatty acid analysis (PLFA) and others. The shift of soil microbiology from the study of individual microorganisms to entire microbial communities, including nonculturable species, is briefly discussed.

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Continuous cultivation of microorganisms

Cited by 4 publications

References 66 publications

Dynamics of microbial propagation: Models considering inhibitors and variable cell composition

Dynamics of microbial propagation: Models considering inhibitors and variable cell composition

Measurement of structured microbial population dynamics by flow microfluorometry

Development of soil microbiology methods: from respirometry to molecular approaches

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