997 resultados para Green Sulfur Bacteria


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A injeção da água do mar nos campos marítimos (offshore), processo este conhecido como recuperação secundária de petróleo, gera muitos resíduos e efluentes. Dentre estes, pode-se destacar a água produzida, que consiste de água de formação, água naturalmente presente na formação geológica do reservatório de petróleo, e água de injeção, aquela normalmente injetada no reservatório para aumento de produção. Sete tanques de armazenamento de água/óleo de um terminal foram monitorados quanto à presença de micro-organismos e teores de sulfato, sulfeto, pH e condutividade. Particularmente, as bactérias redutoras de sulfato (BRS), que agem às expensas da atividade de outras espécies, reduzindo sulfato à sulfeto, constituindo-se num problema-chave. Os tanques de óleo codificados como Verde, Ciano, Roxo, Cinza, Vermelho, Amarelo e Azul, apresentaram comportamentos distintos quanto aos parâmetros microbiológicos e físico-químicos. Após este monitoramento, de acordo com valores referência adotados, e levando-se em conta como principais parâmetros classificatórios concentrações de BRS, bactérias anaeróbias totais e sulfeto, os dois tanques considerados mais limpos do monitoramento foram os tanques roxo e ciano. Analogamente, por apresentarem os piores desempenhos frente aos três principais parâmetros, os tanques amarelo e cinza foram considerados os mais sujos de todo o monitoramento. Após esta segregação, esses três principais parâmetros, mais a concentração de sulfato, foram inter-relacionados a fim de se corroborar esta classificação. Foi possível observar que o sulfeto instantâneo não foi o parâmetro mais adequado para se avaliar o potencial metabólico de uma amostra. Por este motivo, foram verificados os perfis metabólicos das BRS presentes nas amostras, confirmando a segregação dos tanques, baseada em parâmetros em batelada

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Analyses of pond water and mud samples show that nitrifying bacteria (including ammonifying bacteria, nitrite bacteria, nitrobacteria and denitrifying bacteria) are in general closely correlated with various physico-chemical factors, ammonifying bacteria are mainly correlated with dissolved oxygen; denitrifying bacteria are inversely correlated with phosphorus; nitrite bacteria are closely correlated with nitrites, nitrobacteria are inversely correlated with ammoniac nitrogen. The nitrifying bacteria are more closely correlated with heterotrophic bacteria. Nitrobacteria are inversely correlated with anaerobic heterotrophic bacteria. The correlation is quite weak between all the nitrite bacteria which indicates that the nitrite bacteria have a controlling and regulating function in water quality and there is no interdependence as each plays a role of its own. The paper also discusses how the superficial soil (pond mud down to 3.5 cm deep) and different layers of the mud affect the biomass of bacteria. The study shows that the top superficial layer (down to 1.5 cm deep) is the major area for decomposing and converting organic matter.

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The findings are presented of a study conducted to use autochthonously obtained, nonpathogenic heterotrophic marine bacteria as a substitute feed for microalgae in rearing larval Penaeus monodon. Eleven strains were isolated: Micrococcus (MCC), Staphylococcus, Streptococcus, Bacillus (two strains; BAC-1, BAC-2), Pseudomonas (two strains; PSM-1, PSM-2), Vibrio parahemolyticus, V. fluviatilis, Moraxella (MOR) and Flavobacterium. Six nonhemolytic strains were then chosen for the Penaeus monodon larval feed trials: BAC-1, BAC-2, PSM-1, PSM-2, MCC and MOR. The study demonstrates that bacterial biomass could be further investigated as a partial substitute for microalgae in penaeid shrimp larval rearing.

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The incidence of various human pathogenic bacteria in commercially available and home-made shrimp feeds used on some farms in India was analyzed. The Total Heterotrophic Bacteria in the commercial feed samples ranged between 103–105 cfu g-1 and those in the farm-made feeds between 106-107 cfu g-1. No bacteria of significance to human health were found to be associated with any of the commercial feed samples analyzed, while farm-made feeds analyzed during the study showed a high incidence of various human pathogens such as Vibrio parahaemolyticus, V. cholerae, Escherichia coli and Staphylococcus aureus. Possible modes of contamination in feeds and ways to prevent them are discussed.

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The objective of this study was to investigate the spatial patterns in green sea urchin (Strongylocentrotus droebachiensis) density off the coast of Maine, using data from a fishery-independent survey program, to estimate the exploitable biomass of this species. The dependence of sea urchin variables on the environment, the lack of stationarity, and the presence of discontinuities in the study area made intrinsic geostatistics inappropriate for the study; therefore, we used triangulated irregular networks (TINs) to characterize the large-scale patterns in sea urchin density. The resulting density surfaces were modified to include only areas of the appropriate substrate type and depth zone, and were used to calculate total biomass. Exploitable biomass was estimated by using two different sea urchin density threshold values, which made different assumptions about the fishing industry. We observed considerable spatial variability on both small and large scales, including large-scale patterns in sea urchin density related to depth and fishing pressure. We conclude that the TIN method provides a reasonable spatial approach for generating biomass estimates for a fishery unsuited to geostatistics, but we suggest further studies into uncertainty estimation and the selection of threshold density values.

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Assessing the status of widely distributed marine species can prove difficult because virtually every sampling technique has assumptions, limitations, and biases that affect the results of the study. These biases often are overlooked when the biological and nonbiological implications of the results are discussed. In a recent review, Thompson (1988) used mostly unpublished population census data derived from studies conducted by the National Marine Fisheries Service (NMFS) to draw conclusions about the status of Kemp's ridley, Lepidochelys kempi; Atlantic coast green turtles, Chelonia mydas; and the loggerhead sea turtle, Caretta caretta.

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The near-surface motility of bacteria is important in the initial formation of biofilms and in many biomedical applications. The swimming motion of Escherichia coli near a solid surface is investigated both numerically and experimentally. A boundary element method is used to predict the hydrodynamic entrapment of E. coli bacteria, their trajectories, and the minimum separation of the cell from the surface. The numerical results show the existence of a stable swimming distance from the boundary that depends only on the shape of the cell body and the flagellum. The experimental validation of the numerical approach allows one to use the numerical method as a predictive tool to estimate with reasonable accuracy the near-wall motility of swimming bacteria of known geometry. The analysis of the numerical database demonstrated the existence of a correlation between the radius of curvature of the near-wall circular trajectory and the separation gap. Such correlation allows an indirect estimation of either of the two quantities by a direct measure of the other without prior knowledge of the cell geometry. This result may prove extremely important in those biomedical and technical applications in which the near-wall behavior of bacteria is of fundamental importance.