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  • 1
    ISSN: 0178-515X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Abstract This paper considers the use of hybrid models to represent the dynamic behaviour of biotechnological processes. Each hybrid model consists of a set of non linear differential equations and a neural model. The set of differential equations attempts to describe as much as possible the phenomenology of the process whereas neural networks model predict some key parameters that are an essential part of the phenomenological model. The neural model is obtained indirectly, that is, using the prediction errors of one or more state variables to adjust its weights instead of successive presentations of input-output data of the neural network. This approach allows to use actual measurements to derive a suitable neural model that not only represents the variation of some key parameters but it is also able to partly include dynamic behaviour unaccounted for by the phenomenological model. The approach is described in detail using three test cases: (1) the fermentation of glucose to gluconic acid by the micro-organism Pseudomonas ovalis, (2) the growth of filamentous fungi in a solid state fermenter, and (3) the propagation of filamentous fungi growing on a 2-D solid substrate. Results for the three applications clearly demon- strate that using a hybrid model is a viable alternative for modelling complex biotechnological bioprocesses.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Bioprocess engineering 23 (2000), S. 565-573 
    ISSN: 0178-515X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Abstract The oxygen mass transfer coefficient often serves to compare the efficiency of bioreactors and their mixing devices as well as being an important scale-up factor. In submerged fermentation, four methods are available to estimate the overall oxygen mass transfer coefficient (K L a): the dynamic method, the stationary method based on a previous determination of the oxygen uptake rate (Q O 2 X), the gaseous oxygen balance and the carbon dioxide balance. Each method provides a distinct estimation of the value of K L a. Data reconciliation was used to obtain a more probable value of K L a during the production of Saccharomyces cerevisiae, performed in 22.5-l fed-batch bioreactor. The estimate of K L a is obtained by minimising an objective function that includes measurement terms and oxygen conservation models, each being weighted according to their level of confidence. Weighting factors of measurement terms were taken as their respective inverse variance whereas weighting factors of oxygen conservation models were obtained using Monte Carlo simulations. Results show that more coherent and precise estimations of K L a are obtained.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1573-899X
    Keywords: vasopressin ; tyrosine hydroxylase ; magnocellular neurons ; supraoptic nucleus ; hypophysis ; immunocytochemistry ; rats
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Abstract The dynamics of intracellular contents of vasopressin and tyrosine hydroxylase in neuron bodies were studied in the supraoptic nucleus and the distant segments of their axons in the posterior lobe of the hypophysis in rats in conditions of salt loading lasting one, two, and three weeks. The number of vasopressin–immunoreactive neurons increased by the end of the second week of osmotic stimulation, due to the onset of vasopressin synthesis in neurons not synthesizing this hormone in normal physiological conditions. The vasopressin concentration decreased in cell bodies and axons during the first two weeks of salt loading, apparently because vasopressin release occurred at a greater level than vasopressin synthesis. During the third week, the intracellular vasopressin content remained essentially constant, demonstrating the establishment of dynamic equilibrium between the synthesis and release of the hormone. The number of tyrosine hydroxylase–immunoreactive neurons and the levels of tyrosine hydroxylase in neuron bodies and axons, at least in the largest swellings (Herring bodies), gradually increased, demonstrating that the rate of tyrosine hydroxylase was greater than its rate of enzymatic degradation. Thus, chronic stimulation of vasopressin neurons was accompanied by a series of adaptive reactions, the most important of which appears to be the expression of vasopressin and tyrosine hydroxylase synthesis by neurons which do not normally synthesize these compounds.
    Type of Medium: Electronic Resource
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