IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7968-d595793.html
   My bibliography  Save this article

Lattice Boltzmann Method in Modeling Biofilm Formation, Growth and Detachment

Author

Listed:
  • Mojtaba Aghajani Delavar

    (Faculty of Science and Technology, Athabasca University, Athabasca, AB T9S 3A3, Canada)

  • Junye Wang

    (Faculty of Science and Technology, Athabasca University, Athabasca, AB T9S 3A3, Canada)

Abstract

Biofilms are a complex and heterogeneous aggregation of multiple populations of microorganisms linked together by their excretion of extracellular polymer substances (EPS). Biofilms can cause many serious problems, such as chronic infections, food contamination and equipment corrosion, although they can be useful for constructive purposes, such as in wastewater treatment, heavy metal removal from hazardous waste sites, biofuel production, power generation through microbial fuel cells and microbially enhanced oil recovery; however, biofilm formation and growth are complex due to interactions among physicochemical and biological processes under operational and environmental conditions. Advanced numerical modeling techniques using the lattice Boltzmann method (LBM) are enabling the prediction of biofilm formation and growth and microbial community structures. This study is the first attempt to perform a general review on major contributions to LBM-based biofilm models, ranging from pioneering efforts to more recent progress. We present our understanding of the modeling of biofilm formation, growth and detachment using LBM-based models and present the fundamental aspects of various LBM-based biofilm models. We describe how the LBM couples with cellular automata (CA) and individual-based model (IbM) approaches and discuss their applications in assessing the spatiotemporal distribution of biofilms and their associated parameters and evaluating bioconversion efficiency. Finally, we discuss the main features and drawbacks of LBM-based biofilm models from ecological and biotechnological perspectives and identify current knowledge gaps and future research priorities.

Suggested Citation

  • Mojtaba Aghajani Delavar & Junye Wang, 2021. "Lattice Boltzmann Method in Modeling Biofilm Formation, Growth and Detachment," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7968-:d:595793
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7968/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/14/7968/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gunes, Burcu, 2021. "A critical review on biofilm-based reactor systems for enhanced syngas fermentation processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    2. Jami, Mohammed & Mezrhab, Ahmed & Bouzidi, M’hamed & Lallemand, Pierre, 2006. "Lattice-Boltzmann computation of natural convection in a partitioned enclosure with inclined partitions attached to its hot wall," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(2), pages 481-494.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wenqing Liang & Zhiyong Shu & Fuming Lu & Yong Wang & Xiaohong Zheng & Hua Qian, 2022. "Study on Interparticle Interaction Force Model to Correct Saturation Density of Real Cryogenic Fluid for LBM Simulation," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
    2. Shashi Kant Bhatia, 2021. "Wastewater Based Microbial Biorefinery for Bioenergy Production," Sustainability, MDPI, vol. 13(16), pages 1-5, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Wei & Taipabu, Muhammad Ikhsan & Chang, Wei-Chen & Viswanathan, Karthickeyan & Xie, Yi-Lin & Kuo, Po-Chih, 2022. "Economic dispatch of torrefied biomass polygeneration systems considering power/SNG grid demands," Renewable Energy, Elsevier, vol. 196(C), pages 707-719.
    2. Pinto, T. & Flores-Alsina, X. & Gernaey, K.V. & Junicke, H., 2021. "Alone or together? A review on pure and mixed microbial cultures for butanol production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    3. Wu, Ying-Ying & Wu, Shuang-Ying & Xiao, Lan, 2018. "Heat dissipation characteristics from photovoltaic cells within the partitioned or non-partitioned glazed cavity to the windy environment," Renewable Energy, Elsevier, vol. 127(C), pages 642-652.
    4. Dadvand, Abdolrahman & Saraei, Sina Hassanzadeh & Ghoreishi, Soheila & Chamkha, Ali J., 2021. "Lattice Boltzmann simulation of natural convection in a square enclosure with discrete heating," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 179(C), pages 265-278.
    5. Bettaibi, Soufiene & Kuznik, Frédéric & Sediki, Ezeddine, 2016. "Hybrid LBM-MRT model coupled with finite difference method for double-diffusive mixed convection in rectangular enclosure with insulated moving lid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 311-326.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7968-:d:595793. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.