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The biotechnological production of xanthan on vegetable oil industry wastewaters (part II): Kinetic modelling and process simulation

Authors :
Bajić Bojana Ž.
Vučurović Damjan G.
Dodić Siniša N.
Rončević Zorana Z.
Grahovac Jovana A.
Dodić Jelena M.
Source :
Chemical Industry and Chemical Engineering Quarterly, Vol 24, Iss 2, Pp 127-137 (2018)
Publication Year :
2018
Publisher :
Association of the Chemical Engineers of Serbia, 2018.

Abstract

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.

Details

Language :
English
ISSN :
14519372 and 22177434
Volume :
24
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Chemical Industry and Chemical Engineering Quarterly
Publication Type :
Academic Journal
Accession number :
edsdoj.57b277004be44608d64bd358cd02898
Document Type :
article
Full Text :
https://doi.org/10.2298/CICEQ170310004B