Literature DB >> 29243993

Modeling the bioconversion of starch to P(HB-co-HV) optimized by experimental design using Bacillus megaterium BBST4 strain.

Mauricio A Porras1,2, Fernando D Ramos2,3, María S Diaz2,3, María A Cubitto1,4, Marcelo A Villar2,3.   

Abstract

Poly(hydroxybutyrate-co-hydroxyvalerate) (P(HB-co-HV)) is a prominent biopolymer as a potential candidate for use in the biomedical area. Several Bacillus spp. strains show promising characteristics in the use of several carbon sources and are an interesting alternative for the production of P(HB-co-HV). Sewage from the agricultural and food processing industries can be used to obtain abundantly starch as a carbon source for PHA production. The aim of the present study was to optimize by response surface methodology and desirability, the production of PHA by a Bacillus megaterium strain using starch as the sole carbon source. Two optimal conditions were determined without sporulation and were used to perform new experiments to calibrate and validate a mechanistic model, developed to simulate the dynamics of PHA and biomass production. The developed model successfully represents the kinetics of the microorganism. Employing different characterization techniques, it was determined that the PHA produced by the strain is a copolymer composed of different HB:HV proportions. Using starch as the sole carbon source in a minimal salt medium, this work shows the first reports in the literature of: 1) a mathematical model for predicting growth kinetic and PHA production for B. megaterium strain and 2) a Bacillus spp. producing P(HB-co-HV) copolymer.

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Keywords:  Polyhydroxyalkanoate copolymer; experimental design; modeling; starch; yeast extract

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Year:  2018        PMID: 29243993     DOI: 10.1080/09593330.2017.1418436

Source DB:  PubMed          Journal:  Environ Technol        ISSN: 0959-3330            Impact factor:   3.247


  1 in total

1.  Enhanced production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) biopolymer by recombinant Bacillus megaterium in fed-batch bioreactors.

Authors:  Murat Akdoğan; Eda Çelik
Journal:  Bioprocess Biosyst Eng       Date:  2020-09-29       Impact factor: 3.210

  1 in total

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