Importance of carbon to nitrogen ratio in microbial cement production: Insights through experiments and genome-scale metabolic modelling

被引:7
|
作者
Murugan, Raja [1 ,2 ]
Sundararaghavan, Archanaa [1 ]
Dhami, Navdeep K. [2 ]
Mukherjee, Abhijit [2 ]
Suraishkumar, G. K. [1 ]
机构
[1] Indian Inst Technol Madras, Bhupat & Jyoti Mehta Sch Biosci Bldg, Dept Biotechnol, Chennai 600036, Tamil Nadu, India
[2] Curtin Univ, Sch Civil & Mech Engn, Perth, WA 6152, Australia
关键词
MICP; Sporosarcina pasteurii; C/N ratio; Intracellular urease activity; GSMM; CALCIUM-CARBONATE; PRECIPITATION; GROWTH; PASTEURII; UREOLYSIS; BIOMINERALIZATION; TEMPERATURE; MORPHOLOGY; UREASE; SIZE;
D O I
10.1016/j.bej.2022.108573
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Microbial cement production based on microbially induced calcium carbonate precipitation (MICP) is a technology with high potential but is economically limited. Lower medium costs are expected to improve the economic attractiveness of microbial cement production. We report the effect of an important medium parameter, the carbon-to-nitrogen (C/N) ratio (2, 5, 10, 15, and 20) on the intracellular urease activity (IUA) of ureolytic bacteria, Sporosarcina pasteurii (ATCC 11859) through experiments and analysis of a relevant genome-scale metabolic model (GSMM). A positive correlation was observed between IUA and C/N ratio until an optimal C/N ratio of 15. At a C/N ratio of 15, the IUA was 29.5 U/(g dry-cell-weight). Further, the ammonium (nitrogen waste) generation decreased by 7.7-fold at the optimal C/N ratio of 15 compared to that at 2, which is environmentally significant. Despite the decrease in initial urea concentration with an increasing C/N ratio, no decline in the biomass was observed, which is advantageous. Analysis of the GSMM provided the insights that the optimal C/N ratio of 15 also ensures an efficient bio-mineralization process and that increasing the ratio beyond 15 may negatively impact bio-mineralization. The results will be of significance while selecting a low-cost medium for field-scale MICP applications.
引用
收藏
页数:8
相关论文
共 2 条
  • [1] Microbial carbon use efficiency predicted from genome-scale metabolic models
    Saifuddin, Mustafa
    Bhatnagar, Jennifer M.
    Segre, Daniel
    Finzi, Adrien C.
    NATURE COMMUNICATIONS, 2019, 10
  • [2] Evaluation of enzyme-constrained genome-scale model through metabolic engineering of anaerobic co-production of 2,3-butanediol and glycerol by Saccharomyces cerevisiae
    Sjoberg, Gustav
    Rekena, Alina
    Fornstad, Matilda
    Lahtvee, Petri-Jaan
    van Maris, Antonius J. A.
    METABOLIC ENGINEERING, 2024, 82 : 49 - 59