Startseite Kinetic modeling of biosurfactant production by Bacillus subtilis N3-1P using brewery waste
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Kinetic modeling of biosurfactant production by Bacillus subtilis N3-1P using brewery waste

  • Bahareh Moshtagh , Kelly Hawboldt ORCID logo EMAIL logo und Baiyu Zhang
Veröffentlicht/Copyright: 10. Mai 2021
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Chemical Product and Process Modeling
Aus der Zeitschrift Chemical Product and Process Modeling Band 17 Heft 4

Abstract

Costs associated with production of favorable biologically produced surfactants continue to be a significant obstacle to large scale application. Using industrial wastes and by-products as substrate and optimization of cultural conditions are two strategies of producing biosurfactants with a reasonable price. Also, modeling the biosurfactant production bioprocess improves the commercial design and monitoring of biomass growth, biosurfactant production, and substrate utilization. In this study, the indigenous Bacillus subtilis N3-1P strain and a local brewery waste as the carbon source were used to produce a biosurfactant. The batch cultivation was performed under the optimum conditions. Models describing the biomass growth, biosurfactant production, and substrate utilization were developed by fitting the experimental data to the logistic, Contois and Luedeking-Piret models using MATLAB software and regression analysis. The kinetic parameters including the maximum specific growth rates (µ max), the Contois constant (K), parameters of the Luedeking-Piret modelswere calculated. Yields including Y X/S , and Y P/X were found to be 0.143 gX/gS, and 0.188 gP/gX, respectively. The experimental and predicted model showed good agreement. The developed models are a key step in designing reactors for scale up of biosurfactant production.

Keywords: Bacillus subtilis ; biosurfactant; brewery waste; kinetic modeling
Corresponding author: Kelly Hawboldt, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, Canada, E-mail:

Funding source: Petroleum Research Newfoundland and Labrador

Award Identifier / Grant number: N/A

Funding source: Memorial University, and Research & Development Corporation of Newfoundland and Labrador

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This work was supported by Petroleum Research Newfoundland & Labrador (PRNL) and Memorial University, and Research & Development Corporation of Newfoundland and Labrador (RDC).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cppm-2020-0118).

Received: 2020-12-24
Accepted: 2021-04-18
Published Online: 2021-05-10

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. CPPM special issue in honour of Emeritus Professor W.Y. “Bill” Svrcek
  4. Research Articles
  5. Asphaltene precipitation from heavy oil mixed with binary and ternary solvent blends
  6. Kinetic modeling of biosurfactant production by Bacillus subtilis N3-1P using brewery waste
  7. A user workflow for combining process simulation and pinch analysis considering ecological factors
  8. An improved Wilson equation for phase equilibrium K values estimation
  9. Process model correlating Athabasca bitumen thermally cracked at edge of coking induction zone
  10. Flexible digital twins from commercial off-the-shelf software solutions: a driver for energy efficiency and decarbonisation in process industries?
https://doi.org/10.1515/cppm-2020-0118
Schlagwörter für diesen Artikel
Bacillus subtilis; biosurfactant; brewery waste; kinetic modeling

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. CPPM special issue in honour of Emeritus Professor W.Y. “Bill” Svrcek
  4. Research Articles
  5. Asphaltene precipitation from heavy oil mixed with binary and ternary solvent blends
  6. Kinetic modeling of biosurfactant production by Bacillus subtilis N3-1P using brewery waste
  7. A user workflow for combining process simulation and pinch analysis considering ecological factors
  8. An improved Wilson equation for phase equilibrium K values estimation
  9. Process model correlating Athabasca bitumen thermally cracked at edge of coking induction zone
  10. Flexible digital twins from commercial off-the-shelf software solutions: a driver for energy efficiency and decarbonisation in process industries?
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