IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v7y2019i9p781-d260719.html
   My bibliography  Save this article

Modeling Heavy Metal Sorption and Interaction in a Multispecies Biofilm

Author

Listed:
  • Berardino D’Acunto

    (Department of Mathematics and Applications, University of Naples Federico II, 80126 Naples, Italy)

  • Luigi Frunzo

    (Department of Mathematics and Applications, University of Naples Federico II, 80126 Naples, Italy)

  • Vincenzo Luongo

    (Department of Mathematics and Applications, University of Naples Federico II, 80126 Naples, Italy)

  • Maria Rosaria Mattei

    (Department of Mathematics and Applications, University of Naples Federico II, 80126 Naples, Italy)

Abstract

A mathematical model able to simulate the physical, chemical and biological interactions prevailing in multispecies biofilms in the presence of a toxic heavy metal is presented. The free boundary value problem related to biofilm growth and evolution is governed by a nonlinear ordinary differential equation. The problem requires the integration of a system of nonlinear hyperbolic partial differential equations describing the biofilm components evolution, and a systems of semilinear parabolic partial differential equations accounting for substrates diffusion and reaction within the biofilm. In addition, a semilinear parabolic partial differential equation is introduced to describe heavy metal diffusion and sorption. The biosoption process modeling is completed by the definition and integration of other two systems of nonlinear hyperbolic partial differential equations describing the free and occupied binding sites evolution, respectively. Numerical simulations of the heterotrophic-autotrophic interaction occurring in biofilm reactors devoted to wastewater treatment are presented. The high biosorption ability of bacteria living in a mature biofilm is highlighted, as well as the toxicity effect of heavy metals on autotrophic bacteria, whose growth directly affects the nitrification performance of bioreactors.

Suggested Citation

  • Berardino D’Acunto & Luigi Frunzo & Vincenzo Luongo & Maria Rosaria Mattei, 2019. "Modeling Heavy Metal Sorption and Interaction in a Multispecies Biofilm," Mathematics, MDPI, vol. 7(9), pages 1-12, August.
  • Handle: RePEc:gam:jmathe:v:7:y:2019:i:9:p:781-:d:260719
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/7/9/781/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/7/9/781/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. González-Ramírez, Laura R. & Alaçam, Deniz & Akpinar, Aysegul, 2022. "A mathematical model of Chenopodium album L. dynamics under copper-induced stress," Ecological Modelling, Elsevier, vol. 469(C).

    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:jmathe:v:7:y:2019:i:9:p:781-:d:260719. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.