RESUMOO surubim (Pseudoplatystoma sp.) é uma das espécie de peixe mais apreciadas para o consumo. Por ser uma espécie carnívora, exige atenção especial no que tange às suas exigências nutricionais. Até o momento, poucos estudos foram realizados para estabelecê-las na fase de engorda, em especial em sistema de cultivo intensivo. O objetivo do presente estudo foi avaliar os desempenhos zootécnico e econômico de surubins (Pseudoplatystoma sp.) na fase final de crescimento, estocados em tanque-rede e alimentados com dietas com diferentes níveis de proteína. Os peixes, com peso de 356,6±40,3g, foram acondicionados em 12 tanques-rede de 18m3, nos quais permaneceram por cinco meses até adquirirem o peso comercial para abate. O tratamento experimental foi constituído por três dietas extrusadas comerciais, com os níveis de proteína bruta (36, 38, 40%PB) sendo substituídos gradativamente por carboidratos. Foram avaliados os parâmetros de crescimento, rendimento de filé, enzimas metabólicas e desempenho econômico. O ganho de peso, o ganho de peso diário, o consumo de dieta, a taxa de eficiência proteica, a sobrevivência e o rendimento de filé não apresentaram diferença significativa. A conversão alimentar foi melhor para os peixes alimentados com a dieta com 38 e 40%PB. Não foram observadas diferenças significativas para os parâmetros de índice hepatossomático e de enzimas hepáticas. Apesar dos maiores gastos com a ração contendo 38%PB em comparação à dieta com 36%PB, esta foi a que apresentou o melhor índice de custo por kg de peixe produzido. Os melhores índices de crescimento e o menor custo de arraçoamento foram obtidos pelos peixes alimentados com a dieta 38%PB, sendo esta, portanto recomendada para o arraçoamento na fase final de surubins em tanque-rede.

ABSTRACTThe Pseudoplatystoma sp. is one of the most appreciated fish species for consumption. Being a carnivorous species, the painted requires special attention regarding their nutritional requirements. To date, few studies have been conducted to establish them in their stage of fattening especially in intensive cultivation systems. The aim of the present study was to evaluate the growth and economic performance of Pseudoplatystoma sp fed with protein levels reared in net cages. The fish weighing from 356.6 ± 40.3g were packed in twelve net cages in 18 m3 in which they remained for five months until acquiring the commercial weight for slaughter. The experimental treatment was constituted by three commercial extruded diets with different crude protein levels (36, 38, 40% CP) gradually being replaced with carbohydrate. Growth parameters, metabolic enzymes, fillet yield and economic performance were evaluated. The gain in weight, daily weight gain, diet consumption, protein efficiency rate, survival and fillet yield did not show significant difference. The feed conversion was best for fish fed a diet with 38 and 40% CP. No significant differences were observed for the hepatossomatic index parameters and liver enzymes. There were larger expenditures on rations containing 38% PB compared to the diet with 36% CP, this presented the best index of cost per kg of fish produced. The best growth rates and lower cost of feeding were obtained by fish fed with a 38% CP diet, which is, therefore, recommended for feeding in the final phase of surubins monitored via net cages.

The solar driven photo-Fenton process for treating water containing phenol as a contaminant has been evaluated by means of pilot-scale experiments with a parabolic trough solar reactor (PTR). The effects of Fe(II) (0.04-1.0 mmol L-1), H2O2 (7-270 mmol L-1), initial phenol concentration (100 and 500 mg C L-1), solar radiation, and operation mode (batch and fed-batch) on the process efficiency were investigated. More than 90% of the dissolved organic carbon (DOC) was removed within 3 hours of irradiation or less, a performance equivalent to that of artificially-irradiated reactors, indicating that solar light can be used either as an effective complementary or as an alternative source of photons for the photo-Fenton degradation process. A non-linear multivariable model based on a neural network was fit to the experimental results of batch-mode experiments in order to evaluate the relative importance of the process variables considered on the DOC removal over the reaction time. This included solar radiation, which is not a controlled variable. The observed behavior of the system in batch-mode was compared with fed-batch experiments carried out under similar conditions. The main contribution of the study consists of the results from experiments under different conditions and the discussion of the system behavior. Both constitute important information for the design and scale-up of solar radiation-based photodegradation processes.

The photodecomposition of hydrogen peroxide was performed in highly saline aqueous medium (60 g.L-1 of NaCl). The Fe3+/H2O2/NaCl/UV system was tested at temperatures from 20 to 50 ºC, while the intervals of concentration of Fe3+ and H2O2 were 1 to 2.5 mM and 230 to 630 mM, respectively. It is known from the literature that chloride is an inhibitor of the oxidation of organic compound in aqueous medium, but this effect has not been observed to be expressive for hydrogen peroxide. Despite this result, experiments were conducted in presence of high concentration of salt (60 g.L-1), emulating the agrochemical process condition. The series of measurements has been evaluated and correlated. Thermal and photochemical dependencies were described satisfactorily by a simplified kinetic model. The apparent activation energy was estimated to be 27.6 kJ.mol-1.

Isotope separation with a gas centrifuge is a very complex process. Development and optimization of a gas centrifuge requires experimentation. These data contain experimental errors, and like other experimental data, there may be some gross errors, also known as outliers. The detection of outliers in gas centrifuge experimental data is quite complicated because there is not enough repetition for precise statistical determination and the physical equations may be applied only to control of the mass flow. Moreover, the concentrations are poorly predicted by phenomenological models. This paper presents the application of a three-layer feed-forward neural network to the detection of outliers in analysis of performed on a very extensive experiment.