Análise da toxicidade no açude Riacho da Cachoeira, Lajes Pintadas (RN): um desafio interdisciplinar

Contamination by complex mixtures of various origins has been explored and studied for decades. Radon is a naturally occurring environmental contaminant that causes carcinogenic effects. These emissions can cause mutations in the lung tissue, which can initiate a carcinogenic process. Thus the dam Creek Falls, located in the municipality of Lajes Pintadas, was chosen for the development of this study, since cancer rates in the region reach 9% of the population annually, with this, the main objective of this study was evaluate the mutagenicity and toxicity of Riacho da Cachoeira damunder the influence of radon. The methodology ecotoxicological tests were performed with Ceriodaphinia dubia, as well as tests with Tradescantia pallida genotoxicologicos and Oreochromis niloticus. To understand how the population of Pintadas Slabs realizes the environment, we performed a study of environmental perception. The test results indicated that the reservoir water is toxic to test organimos exposed, found heavy metals, chloride, total and fecal coliforms as well as radon levels above the maximum allowed under Brazilian law. These results can be justified because it is so complex samples composed of different compounds that interact only with each other or causing synergistic effects. It was concluded that the dam Creek Waterfall, is contaminated with radon, as well as heavy metals, coliforms and chloride, causing toxic effects to the natural community. Thus, further studies should be performed with the human population of the region, to verify that the high rates of cancer in the population of the municipality may be linked to the presence of natural radiation. Thus, it is expected that the competent bodies that administer the municipality of Lajes Pintadas take reasonable steps to minimize risks and ensure the health of the community that still makes use of the weir

Orpotrin: A novel vasoconstrictor peptide from the venom of the Brazilian Stingray Potamotrygon gr. orbignyi

Characterization of the peptide content of venoms has a number of potential benefits for basic research, clinical diagnosis, development of new therapeutic agents, and production of antiserum. In order to analyze in detail the peptides and small proteins of crude samples, techniques such as chromatography and mass spectrometry have been employed. The present study describes the isolation, biochemical characterization, and sequence determination of a novel peptide, named Orpotrin from the venom of Potamotrygon gr. orbignyi. The natural peptide was shown to be effective in microcirculatory environment causing a strong vasoconstriction. The peptide was fully sequenced by de novo amino acid sequencing with mass spectrometry and identified as the novel peptide. Its amino acid sequence, HGGYKPTDK, aligns only with creatine kinase residues 97-105, but has no similarity to any bioactive peptide. Therefore, possible production of this peptide from creatine kinase by limited proteolysis is discussed. Taken together, the results indicate the usefulness of this single-step approach for low molecular mass compounds in complex samples such as venoms. (c) 2006 Elsevier B.V. All rights reserved.

Desenvolvimento de sistemas de screening utilizando procedimentos em fluxo para monitoramento de sulfonamidas em urina e produtos de origem animal

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Aplicação da cromatografia líquida de alta eficiência na investigação de hidrocarbonetos policíclicos aromáticos em testemunhos sedimentares

Hidrocarbonetos policíclicos aromáticos (HPAs) são compostos orgânicos originários de fontes naturais e antrópicas e, por apresentarem potencial carcinogênico e mutagênico, são considerados poluentes prioritários por agências ambientais. Desta forma, métodos analíticos para investigação de tais compostos que sejam rápidos e de baixo custo são de relevância considerável para o monitoramento ambiental. O presente trabalho teve como objetivos otimizar um método analítico para HPAs utilizando cromatografia líquida com detecção por arranjo de diodos (HPLC-DAD) e aplicar em testemunho sedimentar de região estuarina. Para otimização e avaliação do método, uma coluna sedimentar de 46 cm de comprimento foi coletada na foz do Rio Tucunduba (Belém, Pará) e seccionada em porções de 2 cm (subamostras). Após secagem, 30 g de cada porção foram extraídos com mistura de diclorometano em acetona (1:1) em ultrassom por 40 min. Os extratos obtidos foram centrifugados, purificados em sílica-gel, adaptação em funil necessária principalmente para reter partículas finas, e em seguida concentrados em rotaevaporador à vácuo e, por fim, filtrados com membrana de nylon 0,22 μm antes da injeção no HPLC. Amostras fortificadas com padrões analíticos de 16 HPAs e brancos também foram processados da mesma maneira. Um conjunto de parâmetros para validação do método foi investigado e observou-se: (1) boa linearidade: as curvas de calibração (analíticas) apresentaram coeficientes de correlação elevadas; (2) precisão adequada: obteve-se desvio padrão relativo dentro do aceitável, sendo o mínimo de 2,1% para acenaftileno e máximo de 19,7% para o fluoranteno; (3) limites de detecção baixos: entre 0,004 a 1,085 ng g g^-1, viabilizando análises em concentrações reais in situ; (4) recuperação adequada para traços: sendo a mínima de 40,0% para o acenaftileno e máxima de 103,1% para o benzo(k)fluoranteno. As concentrações de HPAs totais variaram nas seções do testemunho sedimentar entre 60,77 - 783,3 ng g^-1 de sedimento seco. O método otimizado mostrou-se vantajoso com relação aos tradicionais que utilizam extrator soxhlet e colunas de adsorventes para purificação de extratos por minimizar o tempo de extração e reduzir custos com uso de volumes menores de solventes para purificação do extrato. A limitação do método, porém, foi a coeluição do criseno e do benzo(a)antraceno e a sobreposição do fluoreno e acenafteno, além da quantificação benzo(g,h,i)perileno. Essa limitação provavelmente está associada à eficiência da coluna cromatográfica disponível para a análise, que é para aplicação geral. O método mostrou-se aplicável a amostras estuarinas complexas e ricas em silte e argila. Razões diagnósticas de HPAs parentais indicam fontes petrogênicas a profundidades de 24 – 26 cm, 28 – 30 cm; e fontes pirolíticas a profundidades de 6 – 8 cm, 10 – 12 cm e 14 – 16 cm respectivamente.

Desenvolvimento de métodos para determinação de sulfonamidas, dipirona e citrato de sildenafil em matrizes diversas

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estudo SABE: Sintomas depressivos em idosos do município de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Metabolômica, uma abordagem otimizada para exploração da biodiversidade brasileira: estado da arte, perspectivas e desafios

Brazilian biodiversity is a colossal source of secondary metabolites with remarkable structural features, which are valuable in further biodiscovery studies. In order to fully understand the relations and interactions of a living system with its surroundings, efforts in natural product chemistry are directed toward the challenge of detecting and identifying all the molecular components present in complex samples. It is plausible that this endeavor was born out of recent technological sophistication in secondary metabolite identification with sensitive spectroscopic instruments (MS and NMR) and higher resolving power of chromatographic systems, which allow a decrease in the amount of required sample and time to acquire data. Nevertheless, the escalation of data acquired in these analyses must be sorted with statistical and multi-way tools in order to select key information. Chromatography is also of paramount importance, more so when selected compounds need to be isolated for further investigation. However, in the course of pursuing a greener environment, new policies, with an aim to decrease the use of energy and solvents, are being developed and incorporated into analytical methods. Metabolomics could be an effective tool to answer questions on how living organisms in our huge biodiversity work and interact with their surroundings while also being strategic to the development of high value bio-derived products, such as phytotherapeutics and nutraceuticals. The incorporation of proper phytotherapeutics in the so-called Brazilian Unified Health System is considered an important factor for the urgent improvement and expansion of the Brazilian national health system. Furthermore, this approach could have a positive impact on the international interest toward scientific research developed in Brazil as well as the development of high value bio-derived products, which appear as an interesting economic opportunity in national and global markets. Thus, this study attempts to highlight the recent advances in analytical tools used in detection of secondary metabolites, which can be useful as bioproducts. It also emphasizes the potential avenues to be explored in Brazilian biodiversity, known for its rich chemical diversity.

A trade off between separation, detection and sustainability in liquid chromatographic fingerprinting

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Desenvolvimento de método por cromatografia líquida bidimensional abrange para documentação química de extratos vegetais e estudos metabolômicos

Pós-graduação em Química - IQ

Evaluation of comprehensive two-dimensional gas chromatography coupled to rapid scanning quadrupole mass spectrometry for quantitative analysis

Comprehensive two-dimensional gas chromatography (GC x GC) is a powerful technique that provides excellent separation and identification of analytes in highly complex samples with considerable increase in GC peak capacities. However, since second dimension analyses are very fast, detectors with a rapid acquisition rate are required. Over the last years, quite a number of studies have discussed the potential and limitations of the combination GC x GC with a variety of quadrupole mass spectrometers. The present research focuses on the evaluation of qMS effectiveness at a 10,000-amu/s scan speed and 20-Hz scan frequency for the identification (full scan mode acquisition-TIC) and quantification (extracted ion chromatogram) of target pesticide residues in tomato samples. The following MS parameters have been evaluated: number of data points per peak, mass spectrum quality, peak skewing, and sensitivity. The validated proposed GC x GC/qMS method presented satisfactory results in terms of repeatability (coefficient of variation lower than 15%), accuracy (84-117%), and linearity (ranging from 25 to 500 ng/g), while significant enhancement in sensitivity was observed (a factor of around 10) under scan conditions. (C) 2012 Elsevier B.V. All rights reserved.

NMR, Metabonomics and Molecular Profiles: Applications to the Quality Assessment of Foodstuffs

Nuclear Magnetic Resonance (NMR) is a branch of spectroscopy that is based on the fact that many atomic nuclei may be oriented by a strong magnetic field and will absorb radiofrequency radiation at characteristic frequencies. The parameters that can be measured on the resulting spectral lines (line positions, intensities, line widths, multiplicities and transients in time-dependent experi-ments) can be interpreted in terms of molecular structure, conformation, molecular motion and other rate processes. In this way, high resolution (HR) NMR allows performing qualitative and quantitative analysis of samples in solution, in order to determine the structure of molecules in solution and not only. In the past, high-field NMR spectroscopy has mainly concerned with the elucidation of chemical structure in solution, but today is emerging as a powerful exploratory tool for probing biochemical and physical processes. It represents a versatile tool for the analysis of foods. In literature many NMR studies have been reported on different type of food such as wine, olive oil, coffee, fruit juices, milk, meat, egg, starch granules, flour, etc using different NMR techniques. Traditionally, univariate analytical methods have been used to ex-plore spectroscopic data. This method is useful to measure or to se-lect a single descriptive variable from the whole spectrum and , at the end, only this variable is analyzed. This univariate methods ap-proach, applied to HR-NMR data, lead to different problems due especially to the complexity of an NMR spectrum. In fact, the lat-ter is composed of different signals belonging to different mole-cules, but it is also true that the same molecules can be represented by different signals, generally strongly correlated. The univariate methods, in this case, takes in account only one or a few variables, causing a loss of information. Thus, when dealing with complex samples like foodstuff, univariate analysis of spectra data results not enough powerful. Spectra need to be considered in their wholeness and, for analysing them, it must be taken in consideration the whole data matrix: chemometric methods are designed to treat such multivariate data. Multivariate data analysis is used for a number of distinct, differ-ent purposes and the aims can be divided into three main groups: • data description (explorative data structure modelling of any ge-neric n-dimensional data matrix, PCA for example); • regression and prediction (PLS); • classification and prediction of class belongings for new samples (LDA and PLS-DA and ECVA). The aim of this PhD thesis was to verify the possibility of identify-ing and classifying plants or foodstuffs, in different classes, based on the concerted variation in metabolite levels, detected by NMR spectra and using the multivariate data analysis as a tool to inter-pret NMR information. It is important to underline that the results obtained are useful to point out the metabolic consequences of a specific modification on foodstuffs, avoiding the use of a targeted analysis for the different metabolites. The data analysis is performed by applying chemomet-ric multivariate techniques to the NMR dataset of spectra acquired. The research work presented in this thesis is the result of a three years PhD study. This thesis reports the main results obtained from these two main activities: A1) Evaluation of a data pre-processing system in order to mini-mize unwanted sources of variations, due to different instrumental set up, manual spectra processing and to sample preparations arte-facts; A2) Application of multivariate chemiometric models in data analy-sis.

Survey estimation and marginal effects in Stata

Stata is a general purpose software package that has become popular among various disciplines such as epidemiology, economics, or social sciences. Users like Stata for its scientific approach, its robustness and reliability, and the ease with which its functionality can be extended by user written programs. In this talk I will first give a brief overview of the functionality of Stata and then discuss two specific features: survey estimation and predictive margins/marginal effects. Most surveys are based on complex samples that contain multiple sampling stages, are stratified or clustered, and feature unequal selection probabilities. Standard estimators can produce misleading results in such samples unless the peculiarities of the sampling plan are taken into account. Stata offers survey statistics for complex samples for a wide variety of estimators and supports several variance estimation procedures such as linearization, jackknife, and balanced repeated replication (see Kreuter and Valliant, 2007, Stata Journal 7: 1-21). In the talk I will illustrate these features using applied examples and I will also show how user written commands can be adapted to support complex samples. Complex can also be the models we fit to our data, making it difficult to interpret them, especially in case of nonlinear or non-additive models (Mood, 2010, European Sociological Review 26: 67-82). Stata provides a number of highly useful commands to make results of such models accessible by computing and displaying predictive margins and marginal effects. In my talk I will discuss these commands provide various examples demonstrating their use.

LORENZ: Stata module to estimate and display Lorenz curves and concentration curves

Lorenz estimates Lorenz and concentration curves from individual-level data and, optionally, displays the results in a graph. Relative as well as generalized, absolute, unnormalized, or custom-normalized Lorenz or concentration curves are supported, and tools for computing contrasts between different subpopulations or outcome variables are provided. Variance estimation for complex samples is fully supported.

Estimating Lorenz and concentration curves in Stata

Lorenz and concentration curves are widely used tools in inequality research. In this paper I present a new Stata command called -lorenz- that estimates Lorenz and concentration curves from individual-level data and, optionally, displays the results in a graph. The -lorenz- command supports relative as well as generalized, absolute, unnormalized, or custom-normalized Lorenz or concentration curves, and provides tools for computing contrasts between different subpopulations or outcome variables. Variance estimation for complex samples is fully supported.

Custos de procedimentos de saúde e associação com nível de atividade física e estado nutricional de idosos hipertensos e diabéticos: análise do Estudo SABE - Saúde, Bem-estar e Envelhecimento, 2010

Introdução O nível de atividade física (NAF) insuficiente e estado nutricional (EN) inadequado conferem risco de desenvolvimento de hipertensão arterial e diabete, bem como dificultam o controle destas doenças. Assim, infere-se que os custos despendidos pelo SUS com medicamentos, internações e consultas de hipertensos e diabéticos apresentem relação inversa com NAF, incluindo a prática de caminhada e EN. Entretanto, estudos epidemiológicos que descrevam estes custos e analisem essas associações na população idosa são inexistentes no Brasil, o que dificulta a fundamentação para a implementação de políticas publicas para a economia de recursos. Objetivo Descrever os custos com procedimentos de saúde de idosos hipertensos e diabéticos e verificar qual a sua associação com NAF e EN, segundo sexo e grupos etários. Métodos A amostra foi constituída por 806 idosos com autorreferência à hipertensão e/ou diabete ( 60 anos) residentes no município de São PauloSP, participantes das três coortes do Estudo Saúde, Bem-estar e Envelhecimento SABE - em 2010. A variável dependente custo total anual (em Reais), foi estimada com base nos dados autorreferidos sobre uso de medicamentos, uso dos serviços ambulatoriais e internações hospitalares, retroativos a um ano da coleta de dados. A variáveis explanatórias: i) NAF foi estimada a partir de entrevista utilizando o International Physical Activity Questionnaire (IPAQ, versão curta), classificando os idosos segundo duração da realização de atividades físicas moderada, em ativos ( 150 minutos/semana) e insuficientemente ativos (< 150 minutos/semana); ii) Prática de caminhada, categorizada segundo frequência semanal: a) 4 dias/ semana; b) 1 a 3 dias/semana; c) não caminha. iii) EN, identificado pelo índice de massa corporal (IMC), classificando os idosos em dois grupos: a) IMC < 28 kg/ m²; b) IMC 28 kg/ m² (excesso de peso); as variáveis de controle foram o sexo, grupos etários (a. 70 anos; b. 65 a 69 anos; c. 60 a 64 anos); estado civil (a. casado; b. outros) e, escolaridade (a. sem escolaridade; b. 1 ano). A descrição dos custos segundo as NAF e EN foi representada pelos valores de média e IC95 por cento , mediana e P25 P75, valores mínimos e máximos. Modelos de regressão logística múltipla foram empregados para analisar as associações entre variáveis dependentes e explanatórias. O nível de significância foi estabelecido em 5 por cento e todas as análises foram realizadas considerando amostras complexas, por meio do software Stata, 13.0. 9 Resultados: A média de custo total anual por pessoa foi de R$ 732,54 e a soma dos custos relativa a 12 meses para os 806 idosos foi de R$ 609.587,20, sempre superiores para idosos em excesso de peso, com NAF insuficiente e para idosos que não caminham. Idosos em excesso de peso apresentaram chance 50 por cento superior de estarem no grupo de maior custo total anual (OR 1.49, IC95 por cento 1.01 2.18) e mais de 70 por cento superior de maior custo com medicamentos (OR 1.71, IC95 por cento 1.18 2.47). A ausência de caminhada significou a chance superior para maiores custos anuais com medicamentos (OR 1.63, IC95 por cento 1.06 2.51) e custos totais (OR 1.82, IC95 por cento 1.17 2.81). Todas as análises ajustadas por sexo e idade. O NAF não se associou aos custos totais e custo com medicamentos (p>0.05). Conclusão: Os custos para o controle de HAS e DM em idosos são altos e se associam inversamente à prática de caminhada e ao estado nutricional, especialmente em relação ao custo com o uso de medicamentos antihipertensivos e hipoglicemiantes.