Physiological and chemical gradients in aPseudomonas putida 54G biofilm degrading toluene in a flat plate vapor phase bioreactor

Villaverde, S.; Mirpuri, Rajesh G.; Lewandowski, Zbigniew; Jones, Warren L.

doi:10.1002/(sici)1097-0290(19971120)56:4<361::aid-bit2>3.0.co;2-m

Cited by 26 publications

(12 citation statements)

References 50 publications

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“…A typical example is the effect of toxic concentrations of toluene on the toluene-degrading bacterium Pseudomonas putida. When cells are exposed to high toluene concentrations, they loose their ability to grow on toluene but they remain alive Villaverde et al, 1997). Thus, the toluene nutrient broth selective for P. putida would be unable to detect the species.…”

Section: Methodsmentioning

confidence: 99%

EFFECTS OF DEWATERING ON BACTERIA INACTIVATION: Centrifuge Simulation And Field Tests at The Hyperion Treatment Plant

Iranpour¹,

Oh²,

Cox³

et al. 2002

proc water environ fed

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Section: Methodsmentioning

confidence: 99%

EFFECTS OF DEWATERING ON BACTERIA INACTIVATION: Centrifuge Simulation And Field Tests at The Hyperion Treatment Plant

Iranpour¹,

Oh²,

Cox³

et al. 2002

proc water environ fed

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“…The fully mature biofilm is typified by a three-dimensional structure made up of bacterial cells, a microbe-derived polymer matrix, and interstitial water channels that facilitate the exchange of nutrients and wastes with the surrounding environment. A most remarkable feature of these complex biofilm communities is the development of chemical gradients (i.e., pH, redox potential, and ions) due to the differential diffusion of nutrients, metabolic products, and oxygen throughout the biofilm (1,14,49,50,54). These gradients are partitioned into so-called microenvironments produced by the diverse microbial physiology and local physicochemical properties found within a biofilm, so that the conditions within a microenvironment can be profoundly different from those encountered in the bulk phase.…”

mentioning

confidence: 99%

Application of a pH-Sensitive Fluoroprobe (C-SNARF-4) for pH Microenvironment Analysis in Pseudomonas aeruginosa Biofilms

Hunter

Beveridge

2005

Appl Environ Microbiol

187

168

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An important feature of microbial biofilms is the development of four-dimensional physical and chemical gradients in space and time. There is need for novel approaches to probe these so-called microenvironments to determine their effect on biofilm-specific processes. In this study, we describe the use of seminaphthorhodafluor-4F 5-(and-6) carboxylic acid (C-SNARF-4) for pH microenvironment analysis in Pseudomonas aeruginosa biofilms. C-SNARF-4 is a fluorescent ratiometric probe that allows pH quantification independent of probe concentration and/or laser intensity. By confocal scanning laser microscopy, C-SNARF-4 revealed pH heterogeneity throughout the biofilm in both the x,y and x,z planes, with values ranging from pH 5.6 (within the biofilm) to pH 7.0 (bulk fluid). pH values were typically remarkably different than those just a few micrometers away. Although this probe has been successfully used in a number of eukaryotic systems, problems have been reported which describe spectral emission changes as a result of macromolecular interactions with the fluorophore. To assess how the biofilm environment may influence fluorescent properties of the dye, fluorescence of C-SNARF-4 was quantified via spectrofluorometry while the probe was suspended in various concentrations of representative biofilm matrix components (i.e., proteins, polysaccharides, and bacterial cells) and growth medium. Surprisingly, our data demonstrate that few changes in emission spectra occur as a result of matrix interactions below pH 7. These studies suggest that C-SNARF-4 can be used as a reliable indicator of pH microenvironments, which may help elucidate their influence on the medical and geobiological roles of natural biofilms.

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“…The physico-chemical remedial strategies to clean up sites contaminated by these compounds are not cost effective or adequate (Villaverde et al 1997;Tawtiki et al 2000). Therefore, research is increasingly being focused on biological methods for the degradation and elimination of these pollutants (Akay et al 2005).…”

Section: Introductionmentioning

confidence: 83%

Application of artificial neural network model for the development of optimized complex medium for phenol degradation using Pseudomonas pictorum (NICM 2074)

Annadurai

Lee

2007

Biodegradation

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Biodegradation of phenol using Pseudomonas pictorum (NICM 2074) a potential biodegradant of phenol was investigated for its degrading potential under different operating conditions. The neural network input parameter set consisted of the same set of four levels of maltose (0.025, 0.05, 0.075 g/l), phosphate (3, 12.5, 22 g/l), pH (7, 8, 9) and temperature (30 degrees C, 32 degrees C, 34 degrees C) on phenol degradation was investigated and a Artificial Neural Network (ANN) model was developed to predict the extent of degradation. The learning, recall and generalization characteristic of neural networks was studied using phenol degradation system data. The efficiency of the model generated by the ANN, was tested and compared with the results obtained from an established second order polynomial multiple regression analysis (MRA). Further, the two models (ANN and MRA) were used to predict the percentage of degradation of phenol for blind test data. Performance of both the models were validated in the cases of training and test data, ANN was recommended based on the following higher coefficient of determination R (2); lower standard error of residuals and lower mean absolute percentage deviation.

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Physiological and chemical gradients in aPseudomonas putida 54G biofilm degrading toluene in a flat plate vapor phase bioreactor

Cited by 26 publications

References 50 publications

EFFECTS OF DEWATERING ON BACTERIA INACTIVATION: Centrifuge Simulation And Field Tests at The Hyperion Treatment Plant

EFFECTS OF DEWATERING ON BACTERIA INACTIVATION: Centrifuge Simulation And Field Tests at The Hyperion Treatment Plant

Application of a pH-Sensitive Fluoroprobe (C-SNARF-4) for pH Microenvironment Analysis in Pseudomonas aeruginosa Biofilms

Application of artificial neural network model for the development of optimized complex medium for phenol degradation using Pseudomonas pictorum (NICM 2074)

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