Detachment characteristics of a mixed culture biofilm using particle size analysis

Walter, Maik; Safari, Ashkan; Ivanković, Alojz; Casey, Eoin

doi:10.1016/j.cej.2013.05.071

Cited by 18 publications

(13 citation statements)

References 44 publications

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“…All these observations are fairly consistent with experimental work. For example,Walter et al [ 51 ] have demonstrated that when a shear flow is applied to a mature biofilm, the number of erosion events suddenly increases and then gradually decreases over the time. Fig 11(C) shows the frequency distribution of the volume of the detached clusters from time T ** = 0 to 1.3×10 5 .…”

Section: Resultsmentioning

confidence: 99%

“…Even though larger clusters are produced at higher shear rates due to streamer detachment, that frequency is smaller. Walter et al [ 51 ] also reported that the mean cluster size for erosion would decrease as shear rate increases. As expected, there is a monotonically increasing relationship between the average detachment rate and shear rate ( Fig 12C ).…”

Section: Resultsmentioning

confidence: 99%

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A mechanistic Individual-based Model of microbial communities

Jayathilake

Gupta

et al. 2017

PLoS ONE

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Accurate predictive modelling of the growth of microbial communities requires the credible representation of the interactions of biological, chemical and mechanical processes. However, although biological and chemical processes are represented in a number of Individual-based Models (IbMs) the interaction of growth and mechanics is limited. Conversely, there are mechanically sophisticated IbMs with only elementary biology and chemistry. This study focuses on addressing these limitations by developing a flexible IbM that can robustly combine the biological, chemical and physical processes that dictate the emergent properties of a wide range of bacterial communities. This IbM is developed by creating a microbiological adaptation of the open source Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS). This innovation should provide the basis for “bottom up” prediction of the emergent behaviour of entire microbial systems. In the model presented here, bacterial growth, division, decay, mechanical contact among bacterial cells, and adhesion between the bacteria and extracellular polymeric substances are incorporated. In addition, fluid-bacteria interaction is implemented to simulate biofilm deformation and erosion. The model predicts that the surface morphology of biofilms becomes smoother with increased nutrient concentration, which agrees well with previous literature. In addition, the results show that increased shear rate results in smoother and more compact biofilms. The model can also predict shear rate dependent biofilm deformation, erosion, streamer formation and breakup.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A mechanistic Individual-based Model of microbial communities

Jayathilake

Gupta

et al. 2017

PLoS ONE

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“…Turbulence generated during peak flow results in mixing, an increase in oxygenation, bubble generation, and shear stress, which increases detachment rates from sediment and is dependent on bacterial shape and strain, and biofilm cohesive strength (Gomez-Suarez et al, 2001; Young, 2006; Lemos et al, 2014; Figure 1D). The release/resuspension of bacteria from biofilms within sediments is dependent on the combination of physicochemical forcing (Walter et al, 2013) and biotic factors, such as grazing and quorum sensing (Costerton et al, 1995; Kim et al, 2016) which could impact particulate loading to the water column (Figure 1E). …”

Section: Sediments As a Sink/source Of Fecal Bacteria And Viruses?mentioning

confidence: 99%

Abundance and Distribution of Enteric Bacteria and Viruses in Coastal and Estuarine Sediments—a Review

et al. 2016

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The long term survival of fecal indicator organisms (FIOs) and human pathogenic microorganisms in sediments is important from a water quality, human health and ecological perspective. Typically, both bacteria and viruses strongly associate with particulate matter present in freshwater, estuarine and marine environments. This association tends to be stronger in finer textured sediments and is strongly influenced by the type and quantity of clay minerals and organic matter present. Binding to particle surfaces promotes the persistence of bacteria in the environment by offering physical and chemical protection from biotic and abiotic stresses. How bacterial and viral viability and pathogenicity is influenced by surface attachment requires further study. Typically, long-term association with surfaces including sediments induces bacteria to enter a viable-but-non-culturable (VBNC) state. Inherent methodological challenges of quantifying VBNC bacteria may lead to the frequent under-reporting of their abundance in sediments. The implications of this in a quantitative risk assessment context remain unclear. Similarly, sediments can harbor significant amounts of enteric viruses, however, the factors regulating their persistence remains poorly understood. Quantification of viruses in sediment remains problematic due to our poor ability to recover intact viral particles from sediment surfaces (typically <10%), our inability to distinguish between infective and damaged (non-infective) viral particles, aggregation of viral particles, and inhibition during qPCR. This suggests that the true viral titre in sediments may be being vastly underestimated. In turn, this is limiting our ability to understand the fate and transport of viruses in sediments. Model systems (e.g., human cell culture) are also lacking for some key viruses, preventing our ability to evaluate the infectivity of viruses recovered from sediments (e.g., norovirus). The release of particle-bound bacteria and viruses into the water column during sediment resuspension also represents a risk to water quality. In conclusion, our poor process level understanding of viral/bacterial-sediment interactions combined with methodological challenges is limiting the accurate source apportionment and quantitative microbial risk assessment for pathogenic organisms associated with sediments in aquatic environments.

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“…Biofilms are microorganisms in which cells attach and grow on a surface, and these cells are embedded in an extracellular polymeric matrix [1]. They have a significant impact on human health, industry, and the environment since they are ubiquitous [2].…”

Section: Introductionmentioning

confidence: 99%

Modelling the Nanomechanical Responses of Biofilms Grown on the Indenter Probe

Xia¹,

Duan²,

Chen³

2018

Processes

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Biofilms have a profound impact on the environment, human health and industrial systems. In order to manage and control them, it is important to measure their mechanical properties intact. Therefore, it has been proposed to grow the biofilms on the atomic force microscope prior to nanoindentation tests with the same probe. However, for nanoindentation of biofilm grown on spherical indenter itself, the existing nanoindentation models become invalid. Therefore, modified models have been proposed to describe the nanoindentation response of biofilm grown on a sphere based on finite element modelling. It was found that the applicability of the models depends on the biofilm thickness and constitutive mechanical models adopted for biofilms. The models developed here would enable more reliable determination of viscoelastic properties of biofilms that grow intact on the indenter itself.

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Detachment characteristics of a mixed culture biofilm using particle size analysis

Cited by 18 publications

References 44 publications

A mechanistic Individual-based Model of microbial communities

A mechanistic Individual-based Model of microbial communities

Abundance and Distribution of Enteric Bacteria and Viruses in Coastal and Estuarine Sediments—a Review

Modelling the Nanomechanical Responses of Biofilms Grown on the Indenter Probe

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