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Two-dimension mathematical modeling of photosynthetic bacterial biofilm growth and formation

Qiang Liao, Ye-Jun Wang, Yong-Zhong Wang, Rong Chen, Xun Zhu, Yu-Kang Pu, Duu-Jong Lee

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

A two-dimensional model is developed to describe the photosynthetic bacteria (PSB) biofilm formation on the solid surface in a flat-panel photobioreactor. The diffusion-reaction equations and cellular automata (CA) rule along with the previously obtained growth kinetics parameters of PSB are used to simulate the coupled mass transport and biochemical reaction as well as the biomass growth. With this model, the effects of the illumination intensity, pH value and initial inoculation on the formed biofilm morphology, porosity, roughness and thickness are investigated. Numerical results show that the biofilm porosity and thickness continuously decreases and increases during the PSB biofilm formation process, respectively, while the surface roughness reaches a stable value after a certain time. The optimal conditions for the PSB biofilm formation are the initial inoculation of 500, and the illumination intensity of 5000 lx and pH value of 7.0. © 2012, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)15607-15615
JournalInternational Journal of Hydrogen Energy
Volume37
Issue number20
DOIs
Publication statusPublished - Oct 2012
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Biofilm formation
  • Cellular automata
  • Illumination intensity
  • Initial inoculation
  • pH value

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