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By Bernhard Sonnleitner

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Extra resources for Advances in Biochemical Engineering - Biotechnology. - Bioanalysis and Biosensors for Bioprocess Monitoring

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29. Origin of systematic errors in spite of potentially error-free analysis. On-line sam- pling setups (top) and time trajectories of limiting substrate concentration during sample preparation in the two paradigmatic setups depending on the actual culture density (bottom). Either a filter in bypass loop is used for the preparation of cell-free supernatant (upper part in top insert) or an aliquot of the entire culture is removed using an automatic sampler valve and a sample bus for further inactivation and transport of the samples taken (lower part).

This helps to exclude systematic errors which might originate from the complex matrix. For instance, Carlsen et al. [54] reported an example in which two different FIA methods for penicillin V monitoring have been compared. A comprehensive survey of various applications with bacteria, yeasts and fungi on a laboratory and pilot scale can be found in reports by Nielsen [302] or Decastro and Valcarcel [80]. g. [122], or to estimate biomass directly [19, 305] or indirectly by means of an extended Kalman filter [441].

In other words, physiological state estimation requires recognition of complex patterns. g. [7, 134, 220, 246, 290, 426], have in common that it is not the present values alone that are evaluated, there is always the recent history of signal trajectories involved. In some cases, the data describing the actual state and their recent history are compared with so-called reference patterns: these are data from historical experiments or runs which an expert has associated with a typical physiological state.

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Advances in Biochemical Engineering - Biotechnology. - Bioanalysis and Biosensors for Bioprocess Monitoring by Bernhard Sonnleitner

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