Efeito do intemperismo artificial em quatro madeiras tropicais monitorado por espectroscopia de infravermelho (DRIFT)

Four tropical woods, were investigated to compare their performance and natural resistances to artificial weathering using the diffuse reflectance infrared Fourier transform spectroscopy (DRIFT). The species were garapeira (Apuleia leiocarpa), itaúba (Mezilaurus itauba) and tauari (Couratari sp.), woods traditionally indicated for exterior uses, and marupá (Simarouba amara), that served as reference. The samples were submitted to cycles of UV radiation (350 nm) and water until 2,000 h. The photodegradation processes of woods surfaces were accomplished monitoring the changes in the intensities associated to lignin (1508 cm-1) and carbonyl group (1736 cm-1) absorptions. The results have shown that lignin was the first component to be photodegradated, resulting in surfaces mainly composed by cellulose, after 2,000 h of UV irradiation. The processes of formation and lixiviation of carbonyl compounds were different for each species. The experimental conditions used in this work were too severe to evaluate the wood density and extractives content influences during the treatment.

Projecte constructiu de llac artificial situat a la Bonaigua a l’estació d’esquí de Baqueira-Beret (Vall d’Aran)

El document té per objecte la definició a nivell constructiu de les obres de implantació d’una nova captació, un nou llac artificial, i la canonada de connexió per a la producció de neu artificial a l’estació d’esquí de Baqueira-Beret (Vall d’Aran), concretament a la zona de Bonaigua.

Estudio gráfico básico de lago artificial situado en Argulls. Estación de esquí de Baqueira-Beret. Vall d’Aran.

Propuesta gráfica de nuevo lago artificial en Argulls. Estación de esquí de Baqueria-Beret

Aplicação de técnicas multivariadas e inteligência artificial na análise de espectros de infravermelho para determinação de matéria orgânica em amostras de solos

In this paper studies based on Multilayer Perception Artificial Neural Network and Least Square Support Vector Machine (LS-SVM) techniques are applied to determine of the concentration of Soil Organic Matter (SOM). Performances of the techniques are compared. SOM concentrations and spectral data from Mid-Infrared are used as input parameters for both techniques. Multivariate regressions were performed for a set of 1117 spectra of soil samples, with concentrations ranging from 2 to 400 g kg-1. The LS-SVM resulted in a Root Mean Square Error of Prediction of 3.26 g kg-1 that is comparable to the deviation of the Walkley-Black method (2.80 g kg-1).

Time-series forecasting of pollutant concentration levels using particle swarm optimization and artificial neural networks

This study evaluates the application of an intelligent hybrid system for time-series forecasting of atmospheric pollutant concentration levels. The proposed method consists of an artificial neural network combined with a particle swarm optimization algorithm. The method not only searches relevant time lags for the correct characterization of the time series, but also determines the best neural network architecture. An experimental analysis is performed using four real time series and the results are shown in terms of six performance measures. The experimental results demonstrate that the proposed methodology achieves a fair prediction of the presented pollutant time series by using compact networks.

Simple method for mass production of polypyrrole/carbon nanotubes hybrid artificial muscle

Large scale preparation of hybrid electrical actuators represents an important step for the production of low cost devices. Interfacial polymerization of polypyrrole in the presence of multi-walled carbon nanotubes represents a simple technique in which strong interaction between components is established, providing composite materials with potential applications as actuators due to the synergistic interaction between the individual components, i.e., fast response of carbon nanotubes, high strain of polypyrrole, and diversity in the available geometry of resulting samples.

Optimization of chromatographic conditions and comparison of extraction efficiencies of four different methods for determination and quantification of pesticide content in bovine milk by UFLC-MS/MS

This paper describes the optimization of a multiresidue chromatographic analysis for the identification and quantification of 20 pesticides in bovine milk, including three carbamates, a carbamate oxime, six organophosphates, two strobilurins, a pyrethroid, an oxazolidinedione, an aryloxyphenoxypropionate acid/ester, a neonicotinoid, a dicarboximide, and three triazoles. The influences of different chromatographic columns and gradients were evaluated. Furthermore, four different extraction methods were evaluated; each utilized both different solvents, including ethyl acetate, methanol, and acetonitrile, and different workup steps. The best results were obtained by a modified QuEChERS method that lacked a workup step, and that included freezing the sample for 2 hours at -20 ºC. The results were satisfactory, yielding coefficients of variation of less than 20%, with the exception of the 50 µg L-1 sample of famoxadone, and recoveries between 70 and 120%, with the exception of acephate and bifenthrin; however, both analytes exhibited coefficients of variation of less than 20%.

Inoculação artificial de colmos de milho em diferentes idades e concentrações de inóculo e sua relação com a expressão da resistência a fusarium moniliforme

A podridão do colmo de milho (Zea mays) causada por Fusarium moniliforme tem ocorrência generalizada nas regiões produtoras do Brasil. Visando obter informações sobre o comportamento da doença, foram conduzidos dois experimentos em campo, um inoculando-se artificialmente colmo de plantas aos 30, 55 e 80 dias após a semeadura, e outro testando-se diferentes concentrações de inóculo, 1x10(4), 5x10(5) e 1x10(7) conídios/ml, aplicadas aos 55 dias após a semeadura. Nesses experimentos utilizou-se o delineamento de blocos ao acaso, com respectivamente, quatro e cinco repetições, sendo cada parcela constituída de 50 plantas. As inoculações foram feitas no centro do segundo entrenó alongado acima do solo. A avaliação da doença foi realizada aos 120 dias após a semeadura, com base na sintomatologia interna do colmo, utilizando uma escala de notas variando de 1 a 9. Por ocasião da colheita foram avaliados o número de plantas acamadas e a produção de grãos. Procedeu-se também a análise do teor de lignina e tanino da casca e da parte interna do entrenó inoculado nos diferentes tratamentos. Todas as concentrações de inóculo testadas permitiram diferenciar os níveis de resistência dos híbridos, sendo estes decrescentes a partir do Cargill 333 para o Cargill 901, tendo o Dina 766 um comportamento intermediário. Por outro lado, não houve diferenças significativas para as inoculações em diferentes épocas. Os teores de taninos não foram significativamente diferentes entre os híbridos, já o teor de lignina foi significativamente relacionado com o nível de resistência dos três híbridos avaliados.

Direct determination of calcium in milk by atomic absorption spectrometry using flow-injection analysis

A flow-injection system with sample and reagent addition by the synchronous merging zones approach for calcium determination in milk by flame AAS is proposed. Main parameters were optimized using a factorial design with central point. The optimum conditions were 2.5% (m/v) for La concentration, 8 mL min-1 for the carrier flow-rate, 20 cm for coiled reactor and 250 ìL for sample volume. Different sample preparation procedures were evaluated such as dilution in water or acid and microwave-assisted decomposition using concentrated or diluted acids. The optimized flow system was applied to determine Ca in eleven commercial milk samples and two standard reference materials diluted in water. Similar calcium levels were encountered comparing the results obtained by the proposed method (dilution in water) with those obtained using microwave-oven digestion. Results obtained in two standard reference materials were in agreement at 95% confidence level with those certified. Recoveries of spiked samples were in the 93% - 116% range. Relative standard deviation (n = 12) was < 5.4% and the sample throughput was 150 measurements per hour, corresponding to a consumption of 250 µL of sample and 6.25 mg La per determination.

Biogeochemistry in acid sulphate soil landscapes and small urban centres in Western Finland

The overall purpose of this thesis was to increase the knowledge on the biogeochemistry of rural acid sulphate (AS) soil environments and urban forest ecosystems near small towns in Western Finland. In addition, the potential causal relationship between the distribution of AS soils and geographical occurence of multiple sclerosis (MS) disease was assessed based on a review of existing literature and data. Acid sulphate soils, which occupy an area of approximately 17–24 million hectare worldwide, are regarded as the nastiest soils in the world. Independent of the geographical locality of these soils, they pose a great threat to their surrounding environment if disturbed. The abundant metal-rich acid drainage from Finnish AS soils, which is a result of sulphide oxidation due to artificial farmland drainage, has significant but spatially and temporally variable ecotoxicological impacts on biodiversity and community structure of fish, benthic invertebrates and macrophytes. This has resulted in mass fish kills and even eradication of sensitive fish species in affected waters. Moreover, previous investigations demonstrated significantly enriched concentrations of Co, Ni, Mn and Al, metals which are abundantly mobilised in AS soils, in agricultural crops (timothy grass and oats) and approximately 50 times higher concentrations of Al in cow milk originating from AS soils in Western Finland. Nevertheless, the results presented here demonstrate, in general, relatively moderate metal concentrations in oats and cabbage grown on AS soils in Western Finland, although some of the studied fields showed anomalous values of metals (e.g. Co and Ni) in both the soil and target plants (especially oats), similar to that of the previous investigations. The results indicated that the concentrations of Co, Ni, Mn and Zn in oats and Co and Zn in cabbage were governed by soil geochemistry as these metals were correlated with corresponding concentrations extracted from the soil by NH4Ac-EDTA and NH4Ac, respectively. The concentrations of Cu and Fe in oats and cabbage were uncorrelated to that of the easily soluble concentrations in the soils, suggesting that biological processes (e.g. plant-root processes) overshadow geochemical variation. The concentrations of K and Mg in cabbage, which showed a low spread and were strongly correlated to the NH4Ac extractable contents in the soil, were governed by both the bioavailable fractions in the topsoil and plant-uptake mechanisms. The plant´s ability to regulate its uptake of Ca and P (e.g. through root exudates) seemed to be more important than the influence of soil geochemistry. The distribution of P, K, Ca, Mg, Mn and S within humus, moss and needles in and around small towns was to a high degree controlled by biological cycling, which was indicated by the low correlation coefficients for P, K, Ca, Mg and S between humus and moss, and the low spread of these nutrients in moss and needles. The concentration variations of elements in till are mainly due to natural processes (e.g. intrusions, weathering, mineralogical variations in the bedrock). There was a strong spatial pattern for B in humus, moss and needles, which was suggested to be associated with anthropogenic emissions from nearby town centres. Geogenic dust affected the spatial distribution of Fe and Cr in moss, while natural processes governed the Fe anomaly found in the needles. The spatial accumulation patterns of Zn, Cd, Cu, Ni and Pb in humus and moss were strong and diverse, and related to current industry, the former steel industry, coal combustion, and natural geochemical processes. An intriguing Cu anomaly was found in moss. Since it was located close to a main railway line and because the railway line´s electric cables are made of Cu, it was suggested that the reason for the Cu anomaly is corrosion of these cables. In Western Finland, where AS soils are particularly abundant and enrich the metal concentrations of stream waters, cow milk and to some extent crops, an environmental risk assessment would be motivated to elucidate if the metal dispersion affect human health. Within this context, a topic of concern is the distribution of multiple sclerosis as high MS prevalence rates are found in the main area of AS soils. Regionally, the AS soil type in the Seinäjoki area has been demonstrated to be very severe in terms of metal leaching, this area also shows one of the highest MS rates reported worldwide. On a local scale, these severe AS soil types coincide well with the corresponding MS clustering along the Kyrönjoki River in Seinäjoki. There are reasons to suspect that these spatial correlations are causal, as multiple sclerosis has been suggested to result from a combination of genetic and environmental factors.

Resistência de cultivares de trigo à giberela mediante inoculação artificial em espiguetas

Este trabalho teve como objetivo determinar a concentração ótima de conídios de F. graminearumpara inoculação artificial em espiguetas de trigo e verificar o tipo de resistência à giberela (Tipo I e/ou II) dos cultivares de trigo. O trabalho foi composto por dois experimentos, sendo que no primeiro determinou-se a concentração ótima de conídios mL-1 para inoculação artificial em quatro cultivares. Para isso, testou-se as concentraçóes de 5x103, 15x103, 25x103, 35x103 e 40x103 conídios mL-1. Vinte e um dias após a inoculação quantificou-se a incidência de F. graminearum em espiguetas, sendo que através de análise de regressão, determinou-se a concentração ótima de conídios mL-1 para cada cultivar. No segundo experimento, avaliou-se a resistência à giberela dos cultivares de trigo mediante inoculação artificial, utilizou-se a mesma metodologia do experimento anterior e a concentração de 31x103conídios mL-1. As variáveis avaliadas foram severidade, grão giberelados e incidência em espiguetas gibereladas. A melhor concentração para inoculação artificial de giberela em espiguetas de trigo é de 31x103conídios mL-1. A maior severidade da doença foi verificada para os cultivares de trigo BRS 208 e Pampeano e a maior percentagem de grão giberelado foi para o cultivar BRS 208. Os cultivares Pampeano e BRS 177 não apresentaram resistência do Tipo I à giberela, porém apresentam do Tipo II, enquanto que os cultivares Mirante e BRS 208 não apresentam nenhum dos dois tipos de resistência.