Dynamic characterization of external and internal mass transport in heterotrophic biofilms from microsensors measurements

Guimerà, Xavier; Dorado, Antonio David; Bonsfills, Anna; Gabriel, Gemma; Gabriel, David; Gamisans, Xavier

doi:10.1016/j.watres.2016.07.009

Cited by 46 publications

(28 citation statements)

References 38 publications

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“…To experimentally explore fluid–structure interactions, several analytical methods have been applied. Imaging techniques (Neu et al, ) and micro‐sensors (Billings, Birjiniuk, Samad, Doyle, & Ribbeck, ; Guimera et al, ) have been used the most. Furthermore, mathematical modeling leads to mechanistic understanding of mass transfer phenomena in complex biofilm systems (Horn & Lackner, ).…”

Section: Introductionmentioning

confidence: 99%

NMR investigation of water diffusion in different biofilm structures

Herrling

Weisbrodt

Kirkland

et al. 2017

Biotech & Bioengineering

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Mass transfer in biofilms is determined by diffusion. Different mostly invasive approaches have been used to measure diffusion coefficients in biofilms, however, data on heterogeneous biomass under realistic conditions is still missing. To non-invasively elucidate fluid-structure interactions in complex multispecies biofilms pulsed field gradient-nuclear magnetic resonance (PFG-NMR) was applied to measure the water diffusion in five different types of biomass aggregates: one type of sludge flocs, two types of biofilm, and two types of granules. Data analysis is an important issue when measuring heterogeneous systems and is shown to significantly influence the interpretation and understanding of water diffusion. With respect to numerical reproducibility and physico-chemical interpretation, different data processing methods were explored: (bi)-exponential data analysis and the Γ distribution model. Furthermore, the diffusion coefficient distribution in relation to relaxation was studied by D-T maps obtained by 2D inverse Laplace transform (2D ILT). The results show that the effective diffusion coefficients for all biofilm samples ranged from 0.36 to 0.96 relative to that of water. NMR diffusion was linked to biofilm structure (e.g., biomass density, organic and inorganic matter) as observed by magnetic resonance imaging and to traditional biofilm parameters: diffusion was most restricted in granules with compact structures, and fast diffusion was found in heterotrophic biofilms with fluffy structures. The effective diffusion coefficients in the biomass were found to be broadly distributed because of internal biomass heterogeneities, such as gas bubbles, precipitates, and locally changing biofilm densities. Thus, estimations based on biofilm bulk properties in multispecies systems can be overestimated and mean diffusion coefficients might not be sufficiently informative to describe mass transport in biofilms and the near bulk.

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Section: Introductionmentioning

confidence: 99%

NMR investigation of water diffusion in different biofilm structures

Herrling

Weisbrodt

Kirkland

et al. 2017

Biotech & Bioengineering

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“…Biofilm density was monitored along the flat plate using protein analysis [26]. These measurements were related to the volatile suspended solid (VSS) concentration according to the correlation described in [27].…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, the effective diffusivity was estimated using the correlation described in [27], in which the diffusion coefficient of n-compound in biofilm phase (DBn) is quantified as function of biomass density and Reynolds number (Expression 1).…”

Section: Biofilm Characterizationmentioning

confidence: 99%

CFD modeling of a fixed-bed biofilm reactor coupling hydrodynamics and biokinetics

Prades

Dorado

Climent

et al. 2017

Chemical Engineering Journal

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Registro de acceso restringido Este recurso no está disponible en acceso abierto por política de la editorial. No obstante, se puede acceder al texto completo desde la Universitat Jaume I o si el usuario cuenta con suscripción. Registre d'accés restringit Aquest recurs no està disponible en accés obert per política de l'editorial. No obstant això, es pot accedir al text complet des de la Universitat Jaume I o si l'usuari compta amb subscripció. Restricted access item This item isn't open access because of publisher's policy. The full--text version is only available from Jaume I University or if the user has a running suscription to the publisher's contents.

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“…If the Ss produced by the hydrolysis of Xs and the Ss consumed by the microorganisms are equal (Eqs. [3][4][5][6].…”

Section: Heterotrophic Decay Coefficient Bh Determinationmentioning

confidence: 99%

“…From the above equations (Eqs. [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18], the maximum rate of growth is calculated from the slope as shown in the following table. From Table 3 it can be seen that the results of the maximum specific growth rate of heterotrophic bacteria show that the use of BI-2000 electrolyte respiration rate analyzer, the range is large and the range is roughly 7.72 d-1-10.05 d-1, the average is 8.6 d -1 compared with ASM1 model.…”

Section: Determination Of Yield Coefficient Of Heterotrophic Bacteriamentioning

confidence: 99%

Determination and Analysis of Kinetic Parameters of Heterotrophic Bacteria in Mathematical Simulation

Lv¹

2018

Appl. Ecol. Env. Res.

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. Compared with the recommended values reported in the literature, the results showed that the yield coefficient of heterotrophic bacteria measured by this method was consistent with the recommended value and the maximum specific growth rate and attenuation coefficient were higher than the recommended value. Different water qualities of different processes and heterotrophic bacteria in the activity are not the same. So the determination of the results will be different. Using the Electrolytic Respirometer developed by Bioscience Incorporation (BI-2000), the microbial oxygen uptake rate (OUR) curve is more accurate, the sampling frequency is higher, the sampling point is more, the judgment of the logarithmic period is more accurate, the test result is more reliable and the sewage treatment plant of the upgrade and simulation to optimize the operation to provide a theoretical basis.

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Dynamic characterization of external and internal mass transport in heterotrophic biofilms from microsensors measurements

Cited by 46 publications

References 38 publications

NMR investigation of water diffusion in different biofilm structures

NMR investigation of water diffusion in different biofilm structures

CFD modeling of a fixed-bed biofilm reactor coupling hydrodynamics and biokinetics

Determination and Analysis of Kinetic Parameters of Heterotrophic Bacteria in Mathematical Simulation

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