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Process optimization and kinetic modelling of cyclic (1 → 3, 1 → 6)-β-glucans production from Bradyrhizobium japonicum MTCC120
Published in Elsevier B.V.
2016
PMID: 27046066
Volume: 226
   
Pages: 35 - 43
Abstract
Cyclic (1 → 3, 1 → 6)-β-glucans are water soluble, biocompatible polymers with potential applications in food and pharmaceutical industries but have not yet been exploited due to their poor yield. In the present study statistical experimental design methodology was employed to improve their production. Initial screening indicated arabinose and peptone as best carbon and nitrogen source respectively, for glucan production. Arabinose and osmolyte concentrations as well as pH significantly contributed to the glucan production. Central composite design indicated a significant interaction between osmolyte concentration and pH on glucan production. The maximum amount of cyclic glucan produced was 6.7 g/L in a 2.5 L reactor in batch conditions. The logistic equation for cell growth and Luedeking-Piret equation for glucan production could satisfactorily simulate the batch kinetics data. Cyclic β-glucans could efficiently encapsulate a hydrophobic molecule, curcumin and increase its solubility in water, thus indicating that these glucans have potential as drug delivery systems. © 2016 Elsevier B.V.
About the journal
JournalData powered by TypesetJournal of Biotechnology
PublisherData powered by TypesetElsevier B.V.
ISSN01681656
Open AccessNo
Concepts (61)
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    Biocompatibility
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    Carbon
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    Encapsulation
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    Growth kinetics
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    Kinetic theory
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    Kinetics
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    Optimization
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    BRADYRHIZOBIUM JAPONICUM
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    CENTRAL COMPOSITE DESIGNS
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    GLUCANS
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    Kinetic modelling
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    LUEDEKING-PIRET EQUATION
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    Pharmaceutical industry
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    Response surface methodology
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    Statistical experimental design
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    Polysaccharides
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    Arabinose
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    BETA 1,3 GLUCAN
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    BETA 1,6 GLUCAN
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    Nitrogen
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    PEPTONE
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    Curcumin
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    EPIGLUCAN
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    GLUCAN
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    Article
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    Bacterial growth
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    Biomass production
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    BRADYRHIZOBIUM JAPONICUM
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    BRADYRHIZOBIUM JAPONICUM MTCC120
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    Cell growth
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    Concentration (parameters)
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    Experimental design
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    Kinetic parameters
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    LUEDEKING PIRET EQUATION
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    Mathematical parameters
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    Methodology
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    Nonhuman
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    pH
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    Priority journal
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    Process optimization
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    Batch cell culture
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    Biomass
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    Bioreactor
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    Biosynthesis
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    BRADYRHIZOBIUM
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    Drug effects
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    Growth, development and aging
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    Infrared spectroscopy
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    Matrix-assisted laser desorption-ionization mass spectrometry
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    Metabolism
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    Microbiology
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    Theoretical model
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    Time factor
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    Batch cell culture techniques
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    Bioreactors
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    BRADYRHIZOBIUM
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    GLUCANS
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    Models, theoretical
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    Spectrometry, mass, matrix-assisted laser desorption-ionization
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    Spectroscopy, fourier transform infrared
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    Time factors