Bioprocess and Biosystems Engineering

, Volume 41, Issue 11, pp 1697–1706 | Cite as

Kinetic analysis of sodium gluconate production by Aspergillus niger with different inlet oxygen concentrations

  • Xiwei Tian
  • Yuting Shen
  • Yingping Zhuang
  • Wei Zhao
  • Haifeng HangEmail author
  • Ju ChuEmail author
Research Paper


To further understand fermentation kinetics of sodium gluconate (SG) production by Aspergillus niger with different inlet oxygen concentrations, logistic model for cell growth and two-step models for SG production and glucose consumption were established. The results demonstrated that the maximum specific growth rate (µm) presented exponential relationship with inlet oxygen concentration and the maximum biomass (Xm) exhibited linear increase. In terms of SG production, two-step model with Luedeking–Piret equation during growth phase and oxygen-dependent equation during stationary phase could well fit the experimental data. Notably, high inlet oxygen concentration exponentially improved SG yield (YP/S), whereas biomass yield to glucose (YX/S) and cell maintenance coefficient (m) were almost independent on inlet oxygen concentration, indicating that high oxygen supply enhancing SG synthesis not only functioning as a substrate directly, but also regulating glucose metabolism towards SG formation. Finally, the applicability and predictability of the proposed models were further validated by additional experiments.


Aspergillus niger Sodium gluconate Oxygen Kinetics 



This work was financially supported by the National Science Foundation for Young Scientists of China (31700038), the National Key Research and Development Program (2017YFB0309302), and the Fundamental Research Funds for the Central Universities (WF1814032, 22221818014).

Compliance with ethical standards

Conflict of interest

The authors declared that they have no competing interests.

Ethical statement

This article does not contain any studies with human participants or animals performed by any of the authors.


  1. 1.
    Ramachandran S, Fontanille P, Pandey A, Larroche C (2006) Gluconic acid: properties, applications and microbial production. Food Technol Biotechnol 44:185–195Google Scholar
  2. 2.
    Singh OV, Kumar R (2007) Biotechnological production of gluconic acid: future implications. Appl Microbiol Biotechnol 75:713–722CrossRefPubMedGoogle Scholar
  3. 3.
    Dowdells C, Jones RL, Mattey M, Bencina M, Legisa M, Mousdale DM (2010) Gluconic acid production by Aspergillus terreus. Lett Appl Microbiol 51:252–257CrossRefPubMedGoogle Scholar
  4. 4.
    Prabu R, Chand T, Raksha S (2012) Improvement of Aspergillus niger for sodium gluconate synthesis by UV mutation method. J Chem 9:2052–2057Google Scholar
  5. 5.
    Shi F, Tan J, Chu J, Wang YH, Zhuang YP, Zhang SL (2015) A qualitative and quantitative high-throughput assay for screening of gluconate high-yield strains by Aspergillus niger. J Microbiol Meth 109:134–139CrossRefGoogle Scholar
  6. 6.
    Ikeda Y, Park EY, Okuda N (2006) Bioconversion of waste office paper to gluconic acid in a turbine blade reactor by the filamentous fungus Aspergillus niger. Bioresour Technol 97:1030–1035CrossRefPubMedGoogle Scholar
  7. 7.
    Liu X, Tian XW, Hang HF, Zhao W, Wang YH, Chu J (2017) Influence of initial glucose concentration on seed culture of sodium gluconate production by Aspergillus niger. Bioresour Bioprocess 4:55–68CrossRefGoogle Scholar
  8. 8.
    Lu F, Li C, Wang ZJ, Zhao W, Chu J, Zhuang YP, Zhang SL (2016) High efficiency cell-recycle continuous sodium gluconate production by Aspergillus niger using on-line physiological parameters association analysis to regulate feed rate rationally. Bioresour Technol 220:433–441CrossRefPubMedGoogle Scholar
  9. 9.
    Ping KK, Wang ZJ, Lu F, Zhao W, Chu J, Zhuang YP, Wang YH (2016) Effect of oxygen supply on the intracellular flux distribution and a two-stage OUR control strategy for enhancing the yield of sodium gluconate production by Aspergillus niger. J Chem Technol Biotechnol 91:1443–1451CrossRefGoogle Scholar
  10. 10.
    Kazemi MA, Bamdad H, Papari S, Yaghmaei S (2013) Modeling and control of dissolved oxygen concentration in the fermentation of glucose to gluconic acid. Chem Eng 57:63–70Google Scholar
  11. 11.
    Klein J, Rosenberg M, Markoš J, Dolgoš O, Krošlák M, Krištofı´ková L (2002) Biotransformation of glucose to gluconic acid by Aspergillus niger—study of mass transfer in an airlift bioreactor. Biochem Eng J 10:197–205CrossRefGoogle Scholar
  12. 12.
    Lu F, Ping KK, Wen L, Zhao W, Wang ZJ, Chu J, Zhuang YP (2015) Enhancing gluconic acid production by controlling the morphology of Aspergillus niger in submerged fermentation. Process Biochem 50:1342–1348CrossRefGoogle Scholar
  13. 13.
    Ramachandran S, Fontanille P, Pandey A, Larroche C (2008) Permeabilization and inhibition of the germination of spores of Aspergillus niger for gluconic acid production from glucose. Bioresource Technol 99:4559–4565CrossRefGoogle Scholar
  14. 14.
    Shen YT, Tian XW, Zhao W, Hang HF, Chu J (2018) Oxygen-enriched fermentation of sodium gluconate by Aspergillus niger and its impact on intracellular metabolic flux distributions. Bioproc Biosyst Eng 41:77–86CrossRefGoogle Scholar
  15. 15.
    Lu F, Wang ZJ, Zhao W, Chu J, Zhuang YP (2015) A simple novel approach for real-time monitoring of sodium gluconate production by on-line physiological parameters in batch fermentation by Aspergillus niger. Bioresour Technol 202:133–141CrossRefPubMedGoogle Scholar
  16. 16.
    Lee TT, Wang FY, Newell RB (1997) A generalised procedure for modelling and simulation of activated sludge plant using lumped-parameter approach. J Environ Sci Health A 32:83–104Google Scholar
  17. 17.
    Amenaghawon NA, Aisien FA (2012) Modelling and simulation of citric acid production from corn starch hydrolysate using Aspergillus niger. Environ Nat Resour Res 2:73–85Google Scholar
  18. 18.
    Gougouli M, Koutsoumanis KP (2012) Modeling germination of fungal spores at constant and fluctuating temperature conditions. Int J Food Microbiol 152:153–161CrossRefPubMedGoogle Scholar
  19. 19.
    Liu JZ, Weng LP, Zhang QL, Xu H, Ji LN (2003) A mathematical model for gluconic acid fermentation by Aspergillus niger. Biochem Eng J 14:137–141CrossRefGoogle Scholar
  20. 20.
    Tian XW, Wang YH, Chu J, Zhuang YP, Zhang SL (2014) Oxygen transfer efficiency and environmental osmolarity response to neutralizing agents on L-lactic acid production efficiency by Lactobacillus paracasei. Process Biochem 49:2049–2054CrossRefGoogle Scholar
  21. 21.
    Wang ZJ, Wang HY, Li YL, Chu J, Huang MZ, Zhuang YP, Zhang SL (2010) Improved vitamin B12 production by step-wise reduction of oxygen uptake rate under dissolved oxygen limiting level during fermentation process. Bioresour Technol 101:2845–2852CrossRefPubMedGoogle Scholar
  22. 22.
    Diano A, Peeters J, Dynesen J, Nielsen J (2009) Physiology of Aspergillus niger in oxygen-limited continuous cultures: influence of aeration, carbon source concentration and dilution rate. World J Microb Biot 103:956–965Google Scholar
  23. 23.
    Garcia D, Ramos AJ, Sanchis V, Marín S (2009) Predicting mycotoxins in foods: a review. Food Microbiol 26:757–769CrossRefPubMedGoogle Scholar
  24. 24.
    Zhang Q, Sun JY, Wang ZJ, Hang HF, Zhao W, Zhuang YP, Chu J (2018) Kinetic analysis of curdlan production by Alcaligenes faecalis with maltose, sucrose, glucose and fructose as carbon sources. Bioresour Technol 259:319–324CrossRefPubMedGoogle Scholar
  25. 25.
    Zwietering MH, Jonkenburger I, Rombouts FM, Riet KV’ (1990) Modeling of bacterial growth curve. Appl Environ Microb 56:1875–1881Google Scholar
  26. 26.
    Halouat E, Debevere JM (1997) Effect of water activity, modified atmosphere packaging and storage temperature on spore germination of moulds isolated from prunes. Int J Food Microbiol 35:41–48CrossRefPubMedGoogle Scholar
  27. 27.
    Schubert M, Mourad S, Schwarze FWMR (2010) Statistical approach to determine the effect of combined environmental parameters on conidial development of Trichoderma atroviride (T-15603.1). J Basic Microb 50:570–580CrossRefGoogle Scholar
  28. 28.
    Cuppers HGAM, Oomes S, Brul S (1997) A model for the combined effects of temperature and salt concentration on growth rate of food spoilage molds. Appl Environ Microb 63:3764–3769Google Scholar
  29. 29.
    Panagou EZ, Skandamis PN, Nychas GJE (2003) Modelling the combined effect of temperature, pH and aw on the growth rate of Monascus ruber, a heat-resistant fungus isolated from green table olives. J Appl Microbiol 94:146–156CrossRefPubMedGoogle Scholar
  30. 30.
    Tassou CC, Panagou EZ, Natskoulis P, Magan N (2007) Modelling the effect of temperature and water activity on the growth of two ochratoxigenic strains of Aspergillus carbonarius from Greek wine grapes. J Appl Microbiol 103:2267–2276CrossRefPubMedGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.State Key Laboratory of Bioreactor EngineeringEast China University of Science and TechnologyShanghaiPeople’s Republic of China
  2. 2.Shan Dong Fuyang Biological Technology Co., ltdDezhouChina

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