Mercury and its compounds are one of the most toxic global pollutants in the environment. It occurs in all segments of the environment, and it attains the food chain ang human body by people consuming fish. The theoretical part of this thesis examines the characteristics of mercury, its occurrence, the roots of its pollution, and the toxicity of various forms of mercury. Consequently, the thesis delineates analytical methodologies applied to determine the overall level of mercury and chemical forms of mercury. The practical part focuses on monitoring the level of mercury and methylmercury in 12 extracts of fish meat. The analyzer AMA 254 has been used to determine the level of mercury and methylmercury in these extracts. Based on the level that resulted from the measurements, the thesis concludes a risk that correlates with consuming this type of meat.

Le mercure est un polluant ubiquiste dont les espèces organiques, telles que le méthylmercure (MMHg), s'accumulent dans la chaîne trophique et sont fortement toxiques pour les organismes vivants. Des microorganismes anaérobies sont capables de transformer le mercure inorganique en MMHg, et inversement, par des processus qui n’ont pas été complètement établis. Cette étude vise à mieux comprendre les transformations du mercure chez des bactéries sulfato-réductrices modèles : D. dechloracetivorans BerOc1, capable de méthyler et déméthyler le mercure, et D. desulfuricans G200, utilisé ici comme témoin non méthylant. Les objectifs de cette étude sont donc de déterminer où ont lieu les processus de méthylation et déméthylation du mercure à l’échelle cellulaire ainsi que d’identifier les ligands du mercure impliqués dans ces processus. Dans un premier temps, la toxicité du mercure inorganique (IHg) et du MMHg a été évaluée sur la croissance des deux souches. Les potentiels de méthylation et de déméthylation, la localisation du mercure et ses ligands ont été déterminés au niveau de la culture et à l’échelle cellulaire. Ces paramètres ont été évalués à différentes concentrations de mercure ainsi qu’au cours d’une cinétique. Ce travail de thèse a mis en avant que IHg et MMHg ont moins d’impact sur la croissance des deux souches étudiées en sulfato-réduction du fait de la forte précipitation du mercure. Une ou des étapes limitantes interviendraient dans le processus de méthylation. De plus, une différence de localisation cellulaire du mercure a été constatée au cours du temps, suggérant un export de ce dernier, et selon la souche bactérienne suggérant des mécanismes cellulaires différents. L’imagerie par TEM EDX et l’analyse élémentaire par nano-fluorescence X ont permis d’observer la co-localisation du mercure avec le soufre. L‘étude de la spéciation par HR XANES a confirmé la prédominance de ligands thiols associés aux processus de méthylation et de déméthylation. Une forme tétragonale est prédominante dans les échantillons exposés à HgCl2 en croissance suggérant que cette espèce est formée via un processus biologique. / Mercury is a wide spread pollutant that build up in living tissues. The transformation of mercury into methylmercury is primarily a natural and biological process mediated by anaerobic bacteria. Understanding the parameters influencing the formation of methylmercury is critically important due to its highly toxic, bioaccumulative and persistent nature. Herein we aim to study the mechanism by which model strains used in laboratories can transform inorganic and methylmercury. The objectives of this study are determining where mercury methylation and demethylation processes take place at the cell scale and identifying the mercury ligands involved in these processes. At first, the toxicity of inorganic mercury (IHg) and MMHg were measured on the bacterial growth. The methylation and demethylation potentials, the localization of mercury and its ligands were determined in the culture and at the cell scale. These parameters were evaluated at different concentrations of mercury as well as during kinetic. This study has highlighted that IHg and MMHg have less impact on the growth of both strains in sulfate reduction because of the high precipitation of mercury. One or more limiting steps would occur in the methylation process. In addition, a difference in cell localization of mercury has been observed over time, suggesting an export at 24h of exposure. Mercury localization also depends on the bacterial strain suggesting different cell mechanisms. TEM EDX imaging and elemental analysis by X-ray nano-fluorescence showed mercury co-localized with sulfur. The study of HR XANES speciation confirmed the predominance of thiol ligands associated with methylation and demethylation processes. A tetragonal form is predominant in samples exposed to growing HgCl2 suggesting that this species is formed via a biological process.

Seabirds – broadly defined as any bird species associated with the marine environment – are exposed to a wide range of environmental contaminants. Vectors of exposure to metal pollution include by external contact, inhalation, and most often ingestion of food and incidental seawater. Seabirds are often considered marine ecosystem bioindicators due to their high trophic position, relatively long lifespan, and wide geographic ranges. We examined the concentration of total mercury (THg), lead (Pb), and cadmium (Cd), in the kidney, liver, breast muscle, and feathers of seven species of juvenile and adult seabirds commonly found in South Florida: brown pelican Pelecanus occidentalis (n=16), northern gannet Morus bassanus (n=16), double-crested cormorant Phalacrocorax auritus (n=15), royal tern Thalasseus maximus (n=15), herring gull Larus argentatus (n=9), laughing gull Leucophaeus atricilla (n=15), and osprey Pandion halietus (n=15). Trace amounts of lead and cadmium were found in the subsample of birds tested, suggesting that the birds living in south Florida do not face a significant threat from those metals. Results of total mercury in 101 specimens ranged from 0 to 45.07 mg/kg (dry wt), 0.15 to 132.13 mg/kg (wet wt), 0.06 to 352.35 mg/kg (wet wt), and 0.06 to 23.43 mg/kg (wet wt) in feathers, liver, kidney, and breast muscle respectively. Individual birds found to have the highest levels of total mercury were collected from centers in Monroe County. Osprey showed the highest total mercury values overall. These findings suggest a potential link to the Everglades and runoff into the Florida Bay, thus possibly exposing birds who utilize the Florida Bay at a higher risk for mercury poisoning.

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[pt] A contaminação causada por diversos metais, dentre eles o mercúrio causa diversos problemas de saúde devido a sua bioacumulação, portanto foi necessária a construção de modelos para determinar a sua concentração. Alguns modelo multimeios foram criados para determinar através do tempo a contaminação de metais. Nesse estudo o mercúrio foi analisado tanto na sua forma inorgânica (HgCl2) quanto no formato orgânico (CH3HgCl). Eles serão construídos em dois diferentes compartimentos ambientais, água e os sedimentos, na Baía de Sepetiba, corpo aquático localizado próximo a cidade do Rio de Janeiro. Para a construção deste foram necessárias adaptações em outros modelos já conhecidos na literatura definido para lagos, levando em conta que a baía se comportaria da forma semelhante além de outras considerações como os tipos de emissões existentes. Na construção foi necessário encontrar dados sobre emissões diretas deste contaminante na baía, fluxos de saída da água e do ar dessa região, um dimensionamento de cada um dos seguimentos deste local, no caso de dados que não foram encontrados especificamente para a Baía de Sepetiba, além de dados pluviométricos e de entrada de aerossóis, considerou-se também valores de outros trabalhos similares para outras baías, de onde se retirou coeficientes de volatilidade entre os seguimentos e o particionamento desses contaminantes entre os meios. Conhecendo os fatores locais e construindo os equacionamentos fornecidos pela modelagem foi possível se calcular utilizando o Python 3 como ferramenta o comportamento destes contaminantes através do tempo, e compara os valores obtidos por estes modelos com dados fornecidos pela literatura e verificar a discrepância entre eles, que para o caso do período de tempo selecionado, 2002 a 2018, sendo a concentração obtida experimentalmente de mercúrio total por kg de sedimentos foi de 53,09 microgramas e a encontrada através do modelo matemático construído foi 74,39 microgramas, tendo com isso uma diferença de aproximadamente 40 por cento em massa dos valores experimentais para os valores modelados. / [en] The contamination caused by several metals, among them mercury causes several health problems due to its bioaccumulation, so it was necessary to build models to determine it concentration. Some multimedia models have been created to determine metal concentration over time. In this study. Mercury was analyzed in its inorganic (HgCl2) and organic (CH3HgCl) form. They will be built in two different environmental compartments, water and sediment, in Sepetiba Bay, a water body located near the city of Rio de Janeiro. For the construction of this, adaptations were necessary in other models already know in the literature defined for lakes, taking to account that the bay would behave in a similar way, in addition to other considerations such as the type of existing emissions. In its construction, it was necessary to find data of direct emissions of this contaminant in the bay, outflows of water and air from that region, a dimension of each of the segments on this location, in the case of data were not found specifically forthe Sepetiba Bay, in addition for rainfall and aerosols input data, values from other similar works from other bay were also considered, from wherevolatility coefficients were removed between the segments and the portioning of these contaminants between the media. Knowing the local factors and building the equations provide by the modeling , it was possible to calculate, using Python 3 as a tool, the behavior of these contaminants over time, and compare the values obtained by these models with data provided by the literature and verify the discrepancy between them, that for the case of the selected time period, 2002 to 2018, the concentration obtained experimentally was 75.70*10-3 mg of total mercury per kg of contaminant and the one found through the constructed mathematical model was 74.39*10-3 mg of total mercury per kg of contaminant, thus having a difference of less than 41 percent in mass from the experimental values to the mathematically modeled values.

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