How to measure diffusion coefficients in biofilms: A critical analysis. 2021

Lenno van den Berg, and Mark C M van Loosdrecht, and Merle K de Kreuk
Department of Water Management, Delft University of Technology, Delft, The Netherlands.

Biofilm and granular sludge processes depend on diffusion of substrates. Despite their importance for the kinetic description of biofilm reactors, biofilm diffusion coefficients reported in literature vary greatly. The aim of this simulation study was to determine to what extent the methods that are used to measure diffusion coefficients contribute to the reported variability. Granular sludge was used as a case study. Six common methods were selected, based on mass balances and microelectrodes. A Monte Carlo simulation was carried out to determine the theoretical precision of each method, considering the uncertainty of various experimental parameters. A model-based simulation of a diffusion experiment was used to determine the theoretical accuracy as a result of six sources of error: solute sorption, biomass deactivation, mass transfer boundary layer, granule roughness, granule shape, and granule size distribution. Based on the Monte Carlo analysis, the relative standard deviation of the different methods ranged from 5% to 61%. In a theoretical experiment, the six error sources led to an 37% underestimation of the diffusion coefficient. This highlights that diffusion coefficients cannot be determined accurately with existing experimental methods. At the same time, the need for measuring precise diffusion coefficients as input value for biofilm modeling can be questioned, since the output of biofilm models has a limited sensitivity toward the diffusion coefficient.

UI MeSH Term Description Entries
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D003198 Computer Simulation Computer-based representation of physical systems and phenomena such as chemical processes. Computational Modeling,Computational Modelling,Computer Models,In silico Modeling,In silico Models,In silico Simulation,Models, Computer,Computerized Models,Computer Model,Computer Simulations,Computerized Model,In silico Model,Model, Computer,Model, Computerized,Model, In silico,Modeling, Computational,Modeling, In silico,Modelling, Computational,Simulation, Computer,Simulation, In silico,Simulations, Computer
D012722 Sewage Refuse liquid or waste matter carried off by sewers. Sludge,Sludge Flocs
D018407 Bacterial Physiological Phenomena Physiological processes and properties of BACTERIA. Bacterial Physiology,Bacterial Processes,Bacterial Physiological Concepts,Bacterial Physiological Phenomenon,Bacterial Process,Physiology, Bacterial,Bacterial Physiological Concept,Concept, Bacterial Physiological,Concepts, Bacterial Physiological,Phenomena, Bacterial Physiological,Phenomenon, Bacterial Physiological,Process, Bacterial,Processes, Bacterial
D018441 Biofilms Encrustations formed from microbes (bacteria, algae, fungi, plankton, or protozoa) embedded in an EXTRACELLULAR POLYMERIC SUBSTANCE MATRIX that is secreted by the microbes. They occur on body surfaces such as teeth (DENTAL DEPOSITS); inanimate objects, and bodies of water. Biofilms are prevented from forming by treating surfaces with DENTIFRICES; DISINFECTANTS; ANTI-INFECTIVE AGENTS; and anti-fouling agents. Biofilm

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