On-line estimation of physiological states for monitoring and control of bioprocesses

Velislava N Lyubenova; Maya N Ignatova; Velislava N Lyubenova; Maya N Ignatova

doi:10.3934/bioeng.2017.1.93

AIMS Bioengineering

2017, Volume 4, Issue 1: 93-112. doi: 10.3934/bioeng.2017.1.93

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Research article

On-line estimation of physiological states for monitoring and control of bioprocesses

Institute of System Engineering and Robotics, Bulgarian Academy of Sciences, 1113 Sofia Bulgaria

Received: 04 November 2016 Accepted: 15 December 2016 Published: 22 January 2017

An approach for monitoring of main physiological states of a class processes is proposed. This class is characterized by production and consumption of intermediate metabolite related to target product. The balance between these two phenomena is considered as key parameter for recognizing the process physiological states. A general structure of cascade software sensor of the key parameter is derived and applied for process monitoring and control. Two type processes are considered as case study. The first one is mono culture for simultaneous saccharification and fermentation of starch to ethanol by Saccharomyces cerevisiae and the second one is mixed culture for biopolymer production by L. delbrulckii and R. Eutropha. The good properties of the proposed monitoring and control schemes are demonstrated by simulation investigations.
- biotechnological processes,
- physiological state,
- software sensors,
- monitoring and control
Citation: Velislava N Lyubenova, Maya N Ignatova. On-line estimation of physiological states for monitoring and control of bioprocesses[J]. AIMS Bioengineering, 2017, 4(1): 93-112. doi: 10.3934/bioeng.2017.1.93

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Abstract

An approach for monitoring of main physiological states of a class processes is proposed. This class is characterized by production and consumption of intermediate metabolite related to target product. The balance between these two phenomena is considered as key parameter for recognizing the process physiological states. A general structure of cascade software sensor of the key parameter is derived and applied for process monitoring and control. Two type processes are considered as case study. The first one is mono culture for simultaneous saccharification and fermentation of starch to ethanol by Saccharomyces cerevisiae and the second one is mixed culture for biopolymer production by L. delbrulckii and R. Eutropha. The good properties of the proposed monitoring and control schemes are demonstrated by simulation investigations.

References

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