Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/1940
Title: The biotechnological production of Xanthan on vegetable oil industry wastewaters. Part II: Kinetic modelling and process simulation
Authors: Bajić, Bojana 
Vučurović, Damjan 
Dodić, Siniša 
Rončević, Zorana 
Grahovac (Ranković), Jovana 
Dodić, Jelena 
Issue Date: 1-Jan-2018
Publisher: Belgrade: Association of the Chemical Engineers of Serbia
Journal: Chemical Industry and Chemical Engineering Quarterly
Abstract: © 2018, CI and CEQ. All rights reserved. Xanthan is a microbial biopolymer with a wide range of industrial applications and it is expected that the demand for this product will significantly increase in the coming decade and for this reason it is important to constantly work on improving all aspects of this biotechnological process. The aim of this research was to examine the kinetics of batch cultivation of Xanthomonas campestris ATCC 13951 using vegetable oil industry wastewaters as a basis for the cultivation medium, in order to produce the biopolymer xanthan. Kinetic modelling is very important for process control, reducing process costs and increasing product quality. By performing xanthan production on a medium with optimized content, the experimental values of content of biomass, carbon source and the desired product were obtained and used to determine the kinetics of biosynthesis. In order to describe biomass multiplication, product formation and carbon source consumption, the logistics, the Luedeking-Piret and modified Luedeking--Piret equation, respectively, were successfully used. Additionally, using process simulation software (SuperPro Designer®), a process and cost model for a xanthan production facility was developed. The developed model represents the basis for a 21,294.29 and 23,107.97 kg/year xanthan production facility, which uses a vegetable oil industry wastewater-based medium and a semi-synthetic medium. The simulation model of the suggested xanthan production process, developed and based on defined kinetic models, represents an excellent basis for its further improvement and for increasing its efficiency.
URI: https://open.uns.ac.rs/handle/123456789/1940
ISSN: 14519372
DOI: 10.2298/CICEQ170310004B
Appears in Collections:TF Publikacije/Publications

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