Modeling the interaction between the central carbon metabolism of Escherichia coli and bioreactor culture media

Microorganism culture is highly complex due to the different metabolic pathways, which are very complex. A metabolic phenomenon called overflow is a challenge to overcome in automatic control tasks of microorganism cultures. In this study, a nonlinear algorithm by sliding modes (sliding mode nonlinear control, SMNC) is proposed for the robust regulation of a fed-batch bioreactor in the presence of parametric and system perturbations. A control design is obtained using Lyapunov functions by techniques to propose a control law such that it is robust, only the output signals (biomass and volume) are used, and the reaction rates do not have to be wholly known. Therefore, a novel and simple controller capable of solving the above problems is obtained.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Modeling the interaction between the central carbon metabolism of Escherichia coli and bioreactor culture media

Cited by 2 publications

References 49 publications

Phenomenological-based semi-physical model characterizing the central metabolic response of Escherichia coli to changes in batch culture temperature

Phenomenological-based semi-physical model characterizing the central metabolic response of Escherichia coli to changes in batch culture temperature

Design of a Robust sliding mode controller for bioreactor cultures in overflow metabolism via an interdisciplinary approach

Contact Info

Product

Resources

About