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B Sonnleitner

Publications and source records attributed to B Sonnleitner.

18 recordsLinked to original sources
PubMed1998

Dynamic adaptation of microbes.

This contribution gives paradigms for static and dynamic effectors of microbial cultures. Macroscopic and physiological steady states are differentiated. The examples comprise: inhibitory and regulatory effects of medium components affecting growth and product formation, possible pitfalls in trying to speed-up operational procedures, responses to foam formation and supply of alternate carbon or oxygen sources, and cell cycle dependent events.

Adaptation, Physiological↗
PubMed1996

Glucose uptake kinetics of Saccharomyces cerevisiae monitored with a newly developed FIA.

The glucose content of the culture liquid during shift experiments and synchronized cultures of Saccharomyces cerevisiae H1022 (ATCC 32167) was monitored using a greatly improved and highly precise FIA. During shift-up experiments on the dilution rate, an overshoot of the glucose-concentration was observed. The amplitude of the overshoot showed a dependency on the duration of undisturbed cultivation before application of the shift. Mutarotational non-equilibrium was excluded as the cause of the observed overshoot. For the first time glucose measurements of oscillating cultures of Saccharomyces cerevisiae are demonstrated with high accuracy and reproducibility. The data strongly support the proposals by Münch et al. (1992a, b) that faint oscillations in glucose concentration are responsible for the persistence of the synchronization. Analytical subsystems prove to be a powerful tool for investigation of the dynamics of metabolic pathways of microbial organisms. Accurate glucose measurements at low concentrations point out the limits and allow refinements of commonly used models.

Biological Transport, Active↗
PubMed1995

Aerobic thermophilic treatment of sewage sludge at pilot plant scale. 1. Operating conditions.

The aerobic thermophilic treatment process of sewage sludge was studied at different bioreactor scales in a pilot plant installation. Since, for a satisfactory sludge disinfection, the Swiss legislation requires minimal incubation times of all volume elements, the bioreactors were operated in repetitive batch mode (draw and fill). Different retention times and frequencies of the volume changes were applied in order to prove the capability of the particular operation modes in assuring high degradative potential. The main enzymatic activity involved during the aerobic treatment was proteolysis: the RQ values ranged between 0.8 and 0.9 depending on the applied operating conditions. Although not in a linear manner, the efficiency of the microflora decreased as the bioreactor scale increased, when this increase corresponded with a reduction of the specific power input. The sludge oxidation rates can be tuned by some process operating conditions such as the volume change frequency, the changed volume quantities and the retention times. It was possible to improve the microbial degradative efficiency by an increased frequency of the changes, while the mean retention time influenced in particular the ultimate product quality, described as residual organic matter content of the sludge. The microflora present was also satisfactorily active at mean hydraulic retention times of less than 10 h. The organic matter concentration of the inlet sewage sludge plays an important role: it influences the aerobic degradation process positively.

Aerobiosis↗
PubMed1995

Aerobic thermophilic treatment of sewage sludge at pilot plant scale. 2. Technical solutions and process design.

The performance of the ATS process depends essentially on the oxygen transfer efficiency. Improvement of the mass transfer capacity of a bioreactor allowed to reduce the incubation time necessary to attain sludge stabilization. It is important to use equipment with a high aeration efficiency such as an injector aeration system. The ratio between the total oxygen consumption and the organic matter degradation (delta COD) ranged between 0.4 and 0.8 in the pilot plant, whereas 1.23 was found in completely mixed bioreactors (Bomio, 1990). No significant improvement of the bacterial degradation efficiency was attained with a specific power input exceeding 6-8 kW m-3. A mean residence time of less than 1 d allowed organic matter removals up to 40% with specific power consumption of 10 kWh kg-1 COD oxidized. The sludge hygienization is one of the objectives and benefits of the thermophilic treatment: not only temperature but also the total solids content were important factors affecting inactivation of pathogens. The inactivation rate was promoted by the increase of temperature, while the residual colony forming units decreased with reducing the total solids content of sewage sludge. It is concluded that continuous operation mode would not affect the quality of the hygienization but could display the high degradation potential of the aerobic system.

Aerobiosis↗
PubMed1993

Automatic bioprocess control. 4. A prototype batch of Saccharomyces cerevisiae.

The recent investigations in our high performance bioreactors have shown that living cells can be extremely sensitive to physical-chemical environmental conditions and their changes. Consequently, the relationship bioreactor-living cell must thoroughly be investigated in order to discuss both: whether bioreactor characteristics are limiting/dominating during cultivation and to what extent controlled changes of the cellular environment can lead the cells to a desired physiological state. For these investigations, a generally accepted biological test organism would be helpful, of which the requirements and reactions under certain conditions are well known. Saccharomyces cerevisiae is a well known, very robust but nevertheless sensitive organism, eligible for this purpose. In this article a typical batch cultivation on glucose is presented, collected from approx. 300 experiments. Regarding metabolite production and consumption, seven different phases are distinguished on the basis of approx. 20 sensor signals and their metabolic background is discussed. Prerequisite, however, was an exhaustive knowledge upon extracellular conditions, a task which could successfully be fulfilled with the highly automated equipment introduced in the preceding articles of this series.

Acetates↗
PubMed1993

Automatic bioprocess control. 5. Biologically and technically caused effects during cultivation.

Experimental programs are the basis for the development of new processes as well as for basic biological research. Hence, an unbiased approach is essential, otherwise the interpretation of results will be misleading. The complex chemical composition of cultivation media in combination with the impedded measuring under monoseptic conditions are ideal circumstances for misinterpretations and unsuited experimental approaches. In this article, practical examples for such pitfalls are given. They are undervalued in mass transfer and mixing effects, error propagation during RQ determination and possible influence of the medium preparation on the time evolution of the growth process. Further, the difficulty of sound interpretation is demonstrated by a batch cultivation carried out under sinusoidal changes of the stirrer speed. Summary conclusions close this series about equipment, methodology and benefits of bioprocess automation.

Biotechnology↗
PubMed1992

Biomass determination.

The reasons for and historical backgrounds of biomass determination are discussed under the aspects of theoretical and practical importance, usefulness and representativity. Off-line methods are evaluated and compared with on-line methods; constraints of applications and conclusiveness of results are rated. Special emphasis is given to the fact that mere knowledge of a bio-mass concentration is not sufficiently valuable to learn more about physiology nor to determine the effectiveness of a biotechnological process. A combination of several different alternative measuring principles in parallel as well as the exploitation of software sensors is proposed as a promising future solution.

Ecology↗
PubMed1992

On-line measurement in biotechnology: techniques.

Bioprocesses are generally ill controlled. This is due to the fact that the measurement of relevant variables is difficult. Therefore, fundamental knowledge of metabolic interrelations is, at least in vivo, limited. In this article, some of the most important measurement techniques are reviewed in order to provide an evaluation of their current state. Emphasis is given to the underlying principles and on-line capability which allow to judge their importance and potential for exploitation resulting in well (maybe entirely) controlled bioprocesses in the future.

Biosensing Techniques↗
PubMed1992

On-line measurement in biotechnology: exploitation, objectives and benefits.

Sound data biologically relevant are prerequisites when developing high-performance bioprocesses. Understanding of physiological regulation as well as sophisticated control strategies are highly dependent on the observability of the culture, i.e. the generation and exploitation of suited signals even under complex environmental measurement conditions. Against this background, the increasing number of analytical systems is very supportive and, accordingly, an appropriate handling of sensors and measured data is of decisive importance. This article reports on practical experience with routines for maintenance, service and calibration of hardware sensors which improve the quality of measurements significantly. Verification and validation of signals is outlined in order to make the value of data exploitation tools obvious. A method for the characterization of information is introduced by practical examples of Saccharomyces cerevisiae cultures when explaining the specific properties of extracting biological information from raw data. Finally, examples for advantageous exploitation of on-line data are given.

Biosensing Techniques↗
PubMed1992

The decisive role of the Saccharomyces cerevisiae cell cycle behaviour for dynamic growth characterization.

The dynamic behaviour of the cell cycle and the physiology of Saccharomyces cerevisiae was monitored in transient experiments. Frequent flow cytometric analyses of the DNA (nuclear phase state) and the cell size enabled us to characterize the proliferation properties of yeast cells under well controlled and undisturbed cultivation conditions. Preliminarily, the correlation between flow cytometric light scattering measurements and the cell size was attested for yeasts. These flow cytometric results are compared with the physiological behaviour of the culture that was detected by high resolution on-line analyses and off-line measurements. The presented results focus on the importance of the yeast cell cycle behaviour for the dynamic growth characterization. Any kind of transients in yeast cultures induced partial synchronization. The characteristics and the time course of the yeast cell cycle were found to be strongly dependent on the physiological environment.

Cell Cycle↗
PubMed1991

Automatic bioprocess control. 2. Implementations and practical experiences.

Our improved implementation for bioprocess control allows flexible responses to many process needs. It is based on computer equipment consisting of three hierarchically ordered levels. On the lowest level, a DDC slave computer handles setpoints and simple tasks generating the chemical and physical environment for the cells. It can be designed manually by the user or automatically by the supervisory computer on the second level. This provides for raw data organization, analysis and interpretation either to support personnel on line in decision making, to select predefined control strategies, or even to search for others. In the coordinating computer on the third level, common tasks of different supervisory computers (bioprocesses) are shared, saving money for the equipment. Tasks and concepts as well as experimental experiences are described to outline the capabilities of the configuration.

Biotechnology↗
PubMed1991

Automatic bioprocess control. 1. A general concept.

Automation of bioprocesses is presented and discussed. A general concept is applied to laboratory scale reactors as well as to large scale production facilities consisting of many unit operations with a hierarchical and highly modular structure. The implementation of non-dedicated and intelligent analytical subsystems is foreseen. Hard- and software requirements are discussed in view of the functional requirements of both scientific research and production engineering. Some practical experience is reported using several different components in parallel installations.

Biotechnology↗
PubMed1991

On-line determination of glucose in biotechnological processes: comparison between FIA and an in situ enzyme electrode.

Two different analysis techniques for on-line monitoring of glucose in biotechnological processes have been tested: an in situ enzyme electrode and a flow injection analysis system (FIA). The measuring ranges, detection limits, response times and the reliabilities of each system have been compared during monitoring of batch and continuous cultures of Saccharomyces cerevisiae.

Computers↗
PubMedDate not supplied

Quantitation of microbial metabolism.

Quantitation is a characteristic property of natural sciences and technologies and is the background for all kinetic and dynamic studies of microbial life. This presentation concentrates therefore on materials and methods as tools necessary to accomplish a sound, quantitative and mechanistic understanding of metabolism. Mathematical models are the software, bioreactors, actuators and analytical equipment are the hardware used. Experiments must be designed and performed in accordance with the relaxation times of the biosystem investigated; some of the respective consequences are discussed and commented in detail. Special emphasis is given to the required density, accuracy and reproducibility of data as well as their validation.

Bacteria↗
PubMedDate not supplied

Dynamics of glucose consumption in yeast.

When a continuously grown yeast culture was allowed to rest at the low dilution rate for an extended time period and was then challenged by increasing the dilution rate, applied as a step function, an overshoot of the concentration of residual glucose occurred reproducibly. A structural extension of the bottleneck model describing another intracellular bottleneck in glucose consumption allowed to predict such overshoots quantitatively. The model assumes that an intracellular enzymatic pool increases in response to a challenge by excess substrate supply, and experimentally, the relaxation time was determined to be on the order of 1 h. When the culture is reset to more limiting conditions, the enzymatic pool shrinks with a relaxation time determined by the reciprocal of the current specific growth rate. Generalized, microbial populations do memorize their (recent) history by adapting their metabolic outfit.

Biotechnology↗