7 resultados para Sal marinho - Análise química
em Repositório Institucional da Universidade Estadual de São Paulo - UNESP
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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This study used a multi-analytical approach based on traditional microbiological methods for cultivation and isolation of heterotrophic bacteria in the laboratory associated with the molecular identification of the isolates and physicochemical analysis of environmental samples. The model chosen for data integration was supported by knowledge from computational neuroscience, and composed by three modules: (i) microbiological parameters, contemplating taxonomic data obtained from the partial sequencing of the 16S rRNA gene from 80 colonies of heterotrophic bacteria isolated by plating method in PCA media. For bacterial colonies isolation were used water samples from Atibaia and Jaguarí rivers collected at the site of water captation for use in effluent treatment, upstream from the entrance of treated effluent from the Paulínia refinery (REPLAN/Petrobras) located in the Paulínia-SP municipality, from the output of the biological treatment plant with stabilization pond and from the raw refinery wastewater; (ii) chemical parameters, ending measures of dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), chloride, acidity CaCO3, alkalinity, ammonia, nitrite, nitrate, dissolved ions, sulfides, oils and greases; and (iii) physical parameters, comprising the pH determination, conductivity, temperature, transparency, settleable solids, suspended and soluble solids, volatile material, remaining fixing material (RFM), apparent color and turbidity. The results revealed interesting theoretical relationships involving two families of bacteria (Carnobacteriaceae and Aeromonadaceae). Carnobacteriaceae revealed positive theoretical relationships with COD, BOD, nitrate, chloride, temperature, conductivity and apparent color and negative theoretical relationships with the OD. Positive theoretical relationships were shown between Aeromonadaceae and OD and nitrate, while this bacterial family showed negative theoretical...
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The Casearia genus (Salicaceae) is well known because of the medicinal use of its species. Among them, a noteworthy one is the C. sylvestris specie because it already has studies concerning its antiproliferative and/or cytotoxic activity in tumor cells. Furthermore, this specie is popularly used against snake bites, in gastric ulcers treatment and as anti-inflammatory. As well as this, there are other species from this same genus which have been poorly studied, such as the following species: C. decandra, C. grandiflora, C. javitensis, C. arborea, C. lasiophylla and C. ulmifolia. However, several biological activities have been reported for them. In this context, the aim of this project, besides of contributing to the Casearia genus studies, is to study those six species through the analysis and documentation of their leaves' chemical composition (aqueous, ethanolic and hexanic extracts), using analytical separation techniques coupled with spectroscopic techniques, such as UHPLC-DAD, GC-MS and NMR 1H, which will assist the identification of new secondary metabolites in this genus. Moreover, another goal of this present work is aiming the bioprospection of substances with medicinal and economical potential and finally promote the systematic study of some biological activities, such as antimicrobial and cytotoxicity bioassays. A wide variety of metabolites was identified in those three types of extracts, being most of them detected for the first time in Casearia genus, highlighting C. lasiophylla and C. decandra for featuring antimicrobial activity against Staphylococcus aureus.
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This work aims to find the maximum tension in a group of blades in a Sewage Treatment Stations in a company located in Vale do Paraíba. First, the calculations of the strength requested by the effluents on the structure are done, and the optimum torque of the frame screws is researched. From these data, static simulations using appropriate software and the finite elements method are performed. Based on the results, a possible solution to reduce the strength in this structure is proposed. This study will be provided as a consultation material to the company
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Considering the high competitivity in the market, the application of quantitative methods can assist in analyzing the efficiency of production facilities of areas of export and import processes of the chemical industry sector. In this sense, this work aims to apply the model GPDEA-BCC optimization in order to develop an analysis of the production units of this chemical industry. So, were chosen variables relevant to the process and elaborated a final comparison between the results obtained by the optimization tool and performance indexes provided by the company. These results indicated that some production units should be monitored more carefully because some of them had a low efficiency when analyzed with multi criteria
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)