Multiscale modelling of heavy metals adsorption on algal-bacterial photogranules

TL;DR

This paper presents a comprehensive multiscale mathematical model for the formation, ecology, and heavy metal biosorption of algal-bacterial photogranules in wastewater treatment, accounting for microbial growth, metal effects, and transport phenomena.

Contribution

It introduces a novel multiscale PDE-based model that integrates microbial dynamics, metal effects, and free boundary evolution for photogranules in SBRs, including metal stimulation and inhibition effects.

Findings

Model accurately predicts photogranules evolution.

Metal presence stimulates EPS production and inhibits microbial activity.

Photogranules effectively remove metals from wastewater.

Abstract

A multiscale mathematical model describing the genesis and ecology of algal-bacterial photogranules and the metals biosorption on their solid matrix within a sequencing batch reactor (SBR) is presented. The granular biofilm is modelled as a spherical free boundary domain with radial symmetry and a vanishing initial value. The free boundary evolution is governed by an ODE accounting for microbial growth, attachment and detachment phenomena. The model is based on systems of PDEs derived from mass conservation principles. Specifically, two systems of nonlinear hyperbolic PDEs model the growth of attached species and the dynamics of free adsorption sites; and two systems of quasi-linear parabolic PDEs govern the diffusive transport and conversion of nutrients and metals. The model is completed with systems of impulsive ordinary differential equations (IDEs) describing the evolution of dissolved substrates, metals, and planktonic and detached biomasses within the granular-based SBR. All main phenomena involved in the process are considered in the mathematical model. Moreover, the dual effect of metal presence on the formation process of photogranules is accounted: metal stimulates the production of EPS by sessile species and negatively affects the metabolic activities of microbial species. To describe the effects related to metal presence, a stimulation term for EPS production and an inhibition term for metal are included in all microbial kinetics. The model is used to examine the role of the microbial species and EPS in the adsorption process, and the effect of metal concentration and adsorption proprieties of biofilm components on the metal removal. Numerical results show that the model accurately describes the photogranules evolution and ecology and confirm the applicability of algal-bacterial photogranules systems for metal-rich wastewater treatment.