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Modeling and simulation of Streptomyces peucetius var. caesius N47 cultivation and ɛ-rhodomycinone production with kinetic equations and neural networks

Paper ID Volume ID Publish Year Pages File Format Full-Text
25689 43590 2006 9 PDF Available
Title
Modeling and simulation of Streptomyces peucetius var. caesius N47 cultivation and ɛ-rhodomycinone production with kinetic equations and neural networks
Abstract

This study focuses on comparing different kinetic growth models and the use of neural networks in the batch cultivation of Streptomyces peucetius var. caesius producing ɛ-rhodomycinone. Contois, Monod and Teissier microbial growth models were used as well as the logistic growth modeling approach, which was found best in the simulations of growth and glucose consumption in the batch growth phase. The lag phase was included in the kinetic model with a CO2 trigger and a delay factor. Substrate consumption and product formation were included as Luedeking-Piret and logistic type equations, respectively. Biomass formation was modeled successfully with a 6-8-2 network, and the network was capable of biomass prediction with an R2-value of 0.983. ɛ-Rhodomycinone production was successfully modeled with a recursive 8-3-1 network capable of ɛ-rhodomycinone prediction with an R2-value of 0.903. The predictive power of the neural networks was superior to the kinetic models, which could not be used in predictive modeling of arbitrary batch cultivations.

Keywords
Kinetic modeling; Neural network modeling; Streptomyces peucetius var. caesius
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Modeling and simulation of Streptomyces peucetius var. caesius N47 cultivation and ɛ-rhodomycinone production with kinetic equations and neural networks
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Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Biotechnology - Volume 126, Issue 3, 10 November 2006, Pages 365–373
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us