Literature DB >> 28456454

Metabolic flux network analysis of hydrogen production from crude glycerol by Clostridium pasteurianum.

Shyamali Sarma1, Avinash Anand2, Vikash Kumar Dubey3, Vijayanand S Moholkar4.   

Abstract

The present study has attempted to get insight into ultrasound induced enhancement in biohydrogen production from glycerol fermentation using metabolic flux analysis (MFA). A pseudo steady state metabolic flux network model was constructed and analyzed using experimentally measured glycerol uptake rate and fluxes of four metabolites, viz. acetate, butyrate, succinate and 1,3-PDO. Glycerol consumption increased by ∼50% under sonication. Biohydrogen yield showed marked rise of ∼40% with application of ultrasound. Butyrate and 1,3-PDO were the major products of glycerol metabolism. Sonication had major influence on carbon fluxes at the acetyl-CoA node. MFA results revealed enhanced flux towards butyrate under sonication, which was manifested in higher butyrate to acetate (B/A) ratio in products and greater H2 generation. Biohydrogen production was also a microbial growth associated process. Finally, two theoretical alternatives for further enhancement of biohydrogen production were assessed with MFA, viz. enhancement of glycerol uptake and blocking of butyrate pathway.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biohydrogen; Butyrate to acetate ratio; Fermentation; Glycerol; Metabolic flux analysis

Mesh:

Substances:

Year:  2017        PMID: 28456454     DOI: 10.1016/j.biortech.2017.03.168

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  Genomic comparison of Clostridium species with the potential of utilizing red algal biomass for biobutanol production.

Authors:  Chongran Sun; Shuangfei Zhang; Fengxue Xin; Sabarathinam Shanmugam; Yi-Rui Wu
Journal:  Biotechnol Biofuels       Date:  2018-02-15       Impact factor: 6.040

Review 2.  Optimization and Scale-Up of Fermentation Processes Driven by Models.

Authors:  Yuan-Hang Du; Min-Yu Wang; Lin-Hui Yang; Ling-Ling Tong; Dong-Sheng Guo; Xiao-Jun Ji
Journal:  Bioengineering (Basel)       Date:  2022-09-14
  2 in total

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