Pros and cons: on-line versus off-line analysis of fermentations

Schügerl, K.; Lorenz, Thomas; Lübbert, Α.; Niehoff, J.; Scheper, T.; Schmidt, Wilhelm

doi:10.1016/0167-7799(86)90128-9

Cited by 23 publications

(5 citation statements)

References 13 publications

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“…In theory, the control of feed rate based on substrate concentration is the optimal method for controlling fed-batch fermentations (41). Few fed-batch fermentations, however, that actually operate in this manner have been reported, typically because of the strict requirement for sterilizable, accurate, and fast-response substrate analysis systems that can be linked on-line with the fermentor (29). Only a few fed-batch fermentations have been controlled directly using on-line, direct measurement of a substrate to control the addition of that substrate.…”

Section: Resultsmentioning

confidence: 99%

A predictive and feedback control algorithm maintains a constant glucose concentration in fed-batch fermentations

Kleman

Chalmers

Luli

et al. 1991

Appl Environ Microbiol

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A combined predictive and feedback control algorithm based on measurements of the concentration of glucose on-line has been developed to control fed-batch fermentations of Escherichia coli. The predictive control algorithm was based on the on-line calculation of glucose demand by the culture and plotting a linear regression to the next datum point to obtain a predicted glucose demand. This provided a predictive "coarse" control for the glucose-based nutrient feed. A direct feedback control using a proportional controller, based on glucose measurements every 2 min, fine-tuned the feed rate. These combined control schemes were used to maintain glucose concentrations in fed-batch fermentations as tight as 0.49 +/- 0.04 g/liter during growth of E. coli to high cell densities.

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Section: Resultsmentioning

confidence: 99%

A predictive and feedback control algorithm maintains a constant glucose concentration in fed-batch fermentations

Kleman

Chalmers

Luli

et al. 1991

Appl Environ Microbiol

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show abstract

“…Today FIA-systems, first published by Ruzika and Hansen [1], are established systems for controlling bioreactors in biotechnology [2,3]. To overcome this problem, one can use a change lock to obtain chemical sterilization, or arrange the sensors in a bypass using a FIA (Flow Injection Analysis) system.…”

Section: Problem Descriptionmentioning

confidence: 99%

Hydrodynamic Influence on Sampling Systems in Bioreactors

Gastrock

Lemke

Schade

et al. 2001

Chem. Eng. Technol.

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“…A major impetus for the development of this monitoring techniques is the process analytical technology (PAT) initiative of the FDA [10][11][12]. The monitoring of crystallization processes with noninvasive sensor technologies would help to improve the efficiency and stability of the downstreaming of biologically interesting products.…”

Section: Introductionmentioning

confidence: 99%