Influence of the preculture conditions on the pellet size distribution of Penicillium chrysogenum cultivations

Hotop, S.; Möller, J.; Niehoff, J.; Schügerl, K.

doi:10.1016/0032-9592(93)80013-7

Cited by 42 publications

(18 citation statements)

References 7 publications

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“…Early methods of pellet size analysis utilized manual sieves with various mesh sizes [34,35,109]. Morphological characterization of filamentous organisms (free cells, mycelia, and pellets) in submerged culture has been significantly enhanced by image analysis technology developments [24]; some of these developments have also been applied to bubble size quantification.…”

Section: Generalmentioning

confidence: 99%

“…Several industrially important cultures grow as multi-cell pellets (vs. filamentous mycelia) for maximum productivity and lower viscosity. Pellet sizes range from 40 to 1,000 lm for Penicillium chrysogenum [34,35,58] and 400 to 2,500 lm for Streptomyces tendae [109]. Pellet sizes depend not only on the agitator shear, but also on several other factors such as culture and media [40,73].…”

Section: Uses Of Measurements For Bubbles and Pelletsmentioning

confidence: 99%

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Measurement of bubble and pellet size distributions: past and current image analysis technology

Junker

2006

Bioprocess Biosyst Eng

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Measurements of bubble and pellet size distributions are useful for biochemical process optimizations. The accuracy, representation, and simplicity of these measurements improve when the measurement is performed on-line and in situ rather than off-line using a sample. Historical and currently available measurement systems for photographic methods are summarized for bubble and pellet (morphology) measurement applications. Applications to cells, mycelia, and pellets measurements have driven key technological developments that have been applied for bubble measurements. Measurement trade-offs exist to maximize accuracy, extend range, and attain reasonable cycle times. Mathematical characterization of distributions using standard statistical techniques is straightforward, facilitating data presentation and analysis. For the specific application of bubble size distributions, selected bioreactor operating parameters and physicochemical conditions alter distributions. Empirical relationships have been established in some cases where sufficient data have been collected. In addition, parameters and conditions with substantial effects on bubble size distributions were identified and their relative effects quantified. This information was used to guide required accuracy and precision targets for bubble size distribution measurements from newly developed novel on-line and in situ bubble measurement devices.

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Section: Generalmentioning

confidence: 99%

Section: Uses Of Measurements For Bubbles and Pelletsmentioning

confidence: 99%

Measurement of bubble and pellet size distributions: past and current image analysis technology

Junker

2006

Bioprocess Biosyst Eng

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“…Small pellets often have a decreasing density over the radius [19,20], but generally the density can pass through a maximum over the radius [11]. The pellet size is strongly influenced by shear forces in the reactor [27,28]. High energy input supports small, smooth, and compact pellets, while under low shear stress the pellets are larger and more hairy.…”

Section: Penicillin Processmentioning

confidence: 99%

“…The inactive parts could then be subject to lysis. Length reduction by breakage is given by AL~ = -lShear, av n Shear, R At (27) where the number of broken tips, nshear, R is calculated as in the detailed model. The average mycelia length loss per break event, lShear, av, is a new model parameter.…”

Section: A Detailed Model For Growth Of Penicillium Chrysogenurn Pelletsmentioning

confidence: 99%

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Proces models for production of β-lactam antibiotics

Bellgardt

1998

Relation Between Morphology and Process Performances

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Great progress has been made in the modelling of biotechnical processes using filamentous microorganisms. This paper deals with cultivations of Penicillium chrysogenum for the production of Penicillin and of Acrernonium chrysogenum for the production of Cephalosporin C. The properties of the processes and the existing models are reviewed. Models are presented for both processes that consider aspects which are important for industrial cultivation. The process model for Penicillin production is based on a detailed morphological description of growth of hyphal filaments and pellets. The model allows for simulation of the production process including the preculture and considering the inhomogenous pellet population. It opens new possibilities for understanding the complex kinetics of the process and improvement of its control. The structured segregated model for Cephalosporin C production considers soy oil as second carbon source besides sugar. The application of the model for dynamic optimization of feeding strategies by Iterative Dynamic Programming is demonstrated. As an alternative approach, modelling of the Cephalosporin production by an artificial neural network is discussed.

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Modeling the exponential growth of filamentous fungi during batch cultivation

Lejeune

Baron

1998

Biotechnol. Bioeng.

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In certain conditions, filamentous fungi are observed to grow exponentially during batch submerged growth. It is shown for three cases, with simple mechanistic models, that an exponential growth assumption is reasonable. The basis of these models is the identification of a growth unit, and a mechanism for its doubling with a constant generation time. The importance of the variation of morphological properties within populations is demonstrated by the comparison of computer simulations of simplified models using average values and either experimental data or computer simulations of detailed stochastic models. © 1998 John Wiley & Sons, Inc. Biotechnol Bioeng 60: 169–179, 1998.

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Influence of the preculture conditions on the pellet size distribution of Penicillium chrysogenum cultivations

Cited by 42 publications

References 7 publications

Measurement of bubble and pellet size distributions: past and current image analysis technology

Measurement of bubble and pellet size distributions: past and current image analysis technology

Proces models for production of β-lactam antibiotics

Modeling the exponential growth of filamentous fungi during batch cultivation

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