Hydrodynamic dispersion within porous biofilms

Many microorganisms live within surface-associated consortia, termed biofilms, that can form intricate porous structures interspersed with a network of fluid channels. In such systems, transport phenomena, including flow and advection, regulate various aspects of cell behavior by controlling nutrient supply, evacuation of waste products, and permeation of antimicrobial agents. This study presents multiscale analysis of solute transport in these porous biofilms. We start our analysis with a channel-scale description of mass transport and use the method of volume averaging to derive a set of homogenized equations at the biofilm-scale in the case where the width of the channels is significantly smaller than the thickness of the biofilm. We show that solute transport may be described via two coupled partial differential equations or telegrapher's equations for the averaged concentrations. These models are particularly relevant for chemicals, such as some antimicrobial agents, that penetrate cell clusters very slowly. In most cases, especially for nutrients, solute penetration is faster, and transport can be described via an advection-dispersion equation. In this simpler case, the effective diffusion is characterized by a second-order tensor whose components depend on (1) the topology of the channels' network; (2) the solute's diffusion coefficients in the fluid and the cell clusters; (3) hydrodynamic dispersion effects; and (4) an additional dispersion term intrinsic to the two-phase configuration. Although solute transport in biofilms is commonly thought to be diffusion dominated, this analysis shows that hydrodynamic dispersion effects may significantly contribute to transport

Effect of carbon starvation on toluene degradation activity by toluene monooxygenase-expressing bacteria

Subsurface bacteria commonly exist in a starvation state with only periodic exposure to utilizable sources of carbon and energy. In this study, the effect of carbon starvation on aerobic toluene degradation was quantitatively evaluated with a selection of bacteria representing all the known toluene oxygenase enzyme pathways. For all the investigated strains, the rate of toluene biodegradation decreased exponentially with starvation time. First-order deactivation rate constants for TMO-expressing bacteria were approximately an order of magnitude greater than those for other oxygenase-expressing bacteria. When growth conditions (the type of growth substrate and the type and concentration of toluene oxygenase inducer) were varied in the cultures prior to the deactivation experiments, the rate of deactivation was not significantly affected, suggesting that the rate of deactivation is independent of previous substrate/inducer conditions. Because TMO-expressing bacteria are known to efficiently detoxify TCE in subsurface environments, these findings have significant implications for in situ TCE bioremediation, specifically for environments experiencing variable growth-substrate exposure conditions.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45353/1/10532_2005_Article_9014.pd

Diversidad bacteriana en un biorreactor de lecho fluidificado durante el tratamiento de agua contaminada con nafta Bacterial diversity in a fluidized bed bioreactor (FBR) treating gasoline-contaminated groundwater

El objetivo principal de esta investigación fue determinar la diversidad bacteriana del proceso de biorremediación de agua contaminada con nafta en un biorreactor de lecho fluidificado en el Recinto Universitario de Mayagüez, de la Universidad de Puerto Rico. El aislamiento y la caracterización de las colonias bacterianas del sistema de biorremediación fueron realizados en medio R2A. Las pruebas morfológicas incluyeron la determinación de la morfología celular y de las colonias, y la reacción frente a la coloración de Gram. Las propiedades fisiológicas se determinaron usando el sistema Biolog® y sobre la base de la habilidad para desarrollar en medio mínimo con nafta como única fuente de carbono. La caracterización molecular se llevó a cabo por BOX-PCR y por análisis de secuencia del ADNr 16S mediante la técnica de ARDRA (amplified ribosomal DNA restriction analysis). De los 162 morfotipos de colonias aislados, 75% fueron bacilos gram-negativos, 19% bacilos gram-positivos, 5% cocos gram-negativos y 1% cocos gram-positivos. Según el análisis ARDRA, estos morfotipos se distribuyeron en 90 grupos genéticos, de los cuales 53% incluyeron cepas con crecimiento en nafta. Las 86 cepas que crecieron en nafta presentaron 52 patrones de amplificación, los que a través de BOX-PCR se agruparon en 50 grupos metabólicamente no relacionados. El alto nivel de diversidad microbiana observado en el reactor permitió la remoción del contaminante y, al parecer, fue importante para la operación estable y eficiente del sistema.<br>The main objective of this research project was to determine the bacterial diversity during the process of bioremediation of water contaminated with gasoline in a fluidized bed reactor at Mayagüez, PR. Isolation and characterization of bacterial populations from the bioremediation system was performed on R2A medium. Morphological tests included cellular and colonial shape and reaction to Gram coloration. Physiological properties were determined by using carbon utilization profiles (Biolog®) and by the ability of axenic cultures to use gasoline as the sole carbon source. Molecular characterization was performed by BOX-PCR and 16S rDNA sequence analysis (ARDRA). From a total of 162 distinctive isolates, 75% were gram-negative bacilli, 19% gram-positive bacilli, 5% gram-negative cocci and 1% gram-positive cocci. The 162 axenic cultures corresponded to 90 different genetic groups; 53% of which included strains with growth in gasoline as sole carbon source. The 86 strains capable of growing in gasoline corresponded to 52 different amplification patterns in BOX-PCR; which were not metabolically related (Biolog® system). The high degree of microbial diversity in the FBR allowed efficient and stable hydrocarbon removal throughout the operation of the system

Bacterial community dynamics in full-scale activated sludge bioreactors: operational and ecological factors driving community assembly and performance.

The assembling of bacterial communities in conventional activated sludge (CAS) bioreactors was thought, until recently, to be chaotic and mostly unpredictable. Studies done over the last decade have shown that specific, and often, predictable random and non-random factors could be responsible for that process. These studies have also motivated a "structure-function" paradigm that is yet to be resolved. Thus, elucidating the factors that affect community assembly in the bioreactors is necessary for predicting fluctuations in community structure and function. For this study activated sludge samples were collected during a one-year period from two geographically distant CAS bioreactors of different size. Combining community fingerprinting analysis and operational parameters data with a robust statistical analysis, we aimed to identify relevant links between system performance and bacterial community diversity and dynamics. In addition to revealing a significant β-diversity between the bioreactors' communities, results showed that the largest bioreactor had a less dynamic but more efficient and diverse bacterial community throughout the study. The statistical analysis also suggests that deterministic factors, as opposed to stochastic factors, may have a bigger impact on the community structure in the largest bioreactor. Furthermore, the community seems to rely mainly on mechanisms of resistance and functional redundancy to maintain functional stability. We suggest that the ecological theories behind the Island Biogeography model and the species-area relationship were appropriate to predict the assembly of bacterial communities in these CAS bioreactors. These results are of great importance for engineers and ecologists as they reveal critical aspects of CAS systems that could be applied towards improving bioreactor design and operation

Rényi diversity profiles of the bacterial communities from the CAS bioreactors.

<p>The profiles were derived from the T-RFLP raw abundance matrices: HC (•) and LC (▪). The x- and y-axes show the alpha value of the Rényi’s formula and their associated Rényi diversity profile values (H<i>α</i>), respectively. Rényi profile values at the scales of 1, 2 and infinite are proportional to Shannon diversity index, Simpson diversity index and Berger–Parker diversity index, respectively (see Kindt and Coe <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0042524#pone.0042524-Legendre1" target="_blank">[47]</a> for further information).</p

Correlation analyses of the relationship between plants’ influent and effluent BOD concentrations.

<p>LC (A) and HC (B). The Pearson’s correlation coefficient (r), the linear regression coefficient of determination (R²) and the probability value (<i>P</i>) of the analysis are shown.</p

Canonical Correspondence Analysis (CCA) of the relationship between operational parameters and bacterial community structure.

<p>The ordination was based on square-root transformed data of the measured operational parameters (arrows): BOD-influent (A), Flow (B), F/M (C), HRT (D), NO₃^–N (E), pH (F), PO₄³⁻ (G), SRT (H), Temperature (I), TSS-influent (J); and the T-RFLP abundance profiles from both CAS bioreactors: HC (•), LC (▪). Numbers next to symbols indicate the relative sampling time. An unrestricted Monte-Carlo permutation test was performed (1000 permutations) to determine the statistical significance of the relationship between the environmental variables and the canonical axes.</p