Metilação de mercúrio em águas da região amazônica na presença e ausência de macrófitas: experimentos em microcosmos

Pós-graduação em Química - IQ

Síntese e caracterização de hidrogéis de amido retrogradado e goma gelana utilizados como matriz em sistemas de liberação cólon específica de fármacos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Behavior of Peruvian carrot (Arracacia xanthorrhiza) and cassava (Manihot esculenta) starches subjected to the heat-moisture treatment

Peruvian carrot and cassava starches were isolated, adjusted to 30 and 35% moisture, and heatedat 90°C for 8 h. Structural and physicochemical characteristics of the treated starches wereevaluated and compared. High performance anion exchange chromatography with pulsedamperometric detector (HPAEC-PAD), gel permeation chromatography (GPC), and amylosecontent, revealed that the HMT did not change the chemical structures of the starches. A largeagglomeration of granules was observed from SEM, particularly in the Peruvian carrot starch.Crystalline patterns in Peruvian carrot and cassava starches changed from B to C and CAto A,respectively. Relative crystallinity decreased from 30 to 25% in Peruvian Carrot starch, andincreased from 35 to 37% in cassava starch adjusted to 30% moisture. SF and peak viscositydecreased, breakdown was almost completely eliminated (particularly in the Peruvian carrotstarch), and final viscosity increased. WAI and WSI increased as moisture levels of bothstarches increased. Gelatinization temperatures increased and enthalpy decreased. Degrees ofgelatinization increased as the moisture level increased, reaching 33 and 72% in the cassavaand Peruvian carrot starches, respectively. HMT strengthened the intra- and intermolecularinteractions of starches and increased their stability during heating and shearing, but also causeda partial gelatinization in the starches, particularly in Peruvian carrot starch.

Análise comparativa de genes das caseínas de búfalo

Pós-graduação em Genética e Melhoramento Animal - FCAV

Características da carne de cordeiros alimentados com glicerina proveniente da produção de biodiesel

Pós-graduação em Zootecnia - FCAV

Tipos de condução de hastes na produção e na qualidade de mini tomate em manejo orgânico

Pós-graduação em Agronomia (Horticultura) - FCA

Novo substrato para o cultivo de orquídeas: estudo do seu potencial de uso em plantas de Laelia pulcherrima

The use of new substrates, which do not lead to extinction of important species such as xaxim, has gained special attention to the cultivation of ornamental and exotic plants. This study aimed to evaluate the potential of using corn cob as substrate for growing orchids. Thus, we used plants of Laelia pulcherrima grown in pine bark (control) and corn cob. We evaluated the development and physicochemical characteristics. We assessed also the benefit of fertilization for the development of this species in both substrates. The corn cob had higher nutrient contents and higher water retention capacity than pine bark, as well as pH and porosity more appropriate. Plant development of L. pulcherrima on the cob was comparable to that obtained with pine and the use of fertilizer promoted the best growing, especially when the substrate used was the cob. Thus, it is recommend to use the same for the cultivation of this orchid.

Effect of cryoprotectants on the reconstitution of silica nanoparticles produced by sol-gel technology

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

Supressividade a Fusarium oxysporum f. sp. cubense por produtos orgânicos

Pós-graduação em Agronomia (Proteção de Plantas) - FCA

Sistemas precursores de cristais líquidos mucoadesivos para administração bucal de curcumina no tratamento do câncer bucal

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

A critical review of analytical methods for determination of ertapenem sodium

Antimicrobials have unquestionable importance in the control of many diseases; however the constant concern with evolution of resistant microorganisms is increasing. The ertapenem sodium is a β-lactam antibiotic of the carbapenem class, which it has a broader activity spectrum than most other β-lactam antimicrobials, and is more resistant to the enzyme β-lactamase, which is the main mechanism of resistance of many bacteria. The progress of microbial resistance to existing antibiotics is alarming. Thus we need to preserve antimicrobials that still have activity against these pathogens. In this context, the quality control has a key role to ensure the correct dosage, by contributing preventively to minimize the development of resistant microorganisms. Study of the physicochemical characteristics of the drug and the quantification of the content of active substance are of fundamental importance for the pharmaceutical industry to ensure the quality of the product sold. This work presents a literature survey of existing methods for ertapenem sodium quantification which was performed. Ertapenem sodium can be analyzed by many types of assays; however the HPLC is the most used method. This review will examine the published analytical methods reported for determination of ertapenem sodium, in biological fluids and formulations.

Caracterização biofísica da interação entre a proteína M2-1 do Vírus Sincicial Respiratório Humano (HRSV) com quercetina

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudos sobre a utilização de pentóxido de nióbio nanoestruturado na produção de biodiesel

In heterogeneous catalysis, numerous elements such as titanium and iron have been studied as nanoscale catalysts, but little is known about the use of niobium in nanocatalysis. The nanostructured particles have intrinsic and different physicochemical characteristics with great potential for use in industrial scale. Brazil having the largest known worldwide niobium reserve has the great challenge of creating pioneering technologies with the metal. Biodiesel is an alternative fuel and renewable substitute for regular diesel. Being biodegradable, non-toxic and have CO2 emissions lower than regular diesel, it contributes to the environment and to the independence from oil. The aim of this work was initially synthesize nanoscale particles of niobium pentoxide (Nanospheres, nanorods, nanofibers, nanocubes) from the sol-gel technique. The characterization of different nanoscale structures obtained was performed using different analytical techniques such as x-ray diffraction (XRD) and Scanning Electron Microscopy (SEM). The synthesized nanometer niobium oxide will be used as a heterogeneous catalyst in biodiesel synthesis from commercial soybean oil, checking in detail what the effect of morphology is presented (Nanospheres, nanorods, nanofibers, nanocubes) in the yield of biodiesel synthesis, comparing these results with those already described in literature for the amorphous niobium oxide and other oxide catalysts. The biodiesel obtained was characterized by gas chromatography system equipped with a FID detector

Caracterização de segurança e tecnológica de bactérias acidoláticas termofílicas autóctones e aplicação em queijo parmesão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Utilização dos parâmetros físico-químicos e redes neurais artificiais na identificação dos méis de abelhas (Apis mellifera L.) produzidos no verão e inverno na microrregião de Campos de Jordão, São Paulo

The objective of this work was to typify, through physicochemical parameters, honey from Campos do Jordão’s microrregion, and verify how samples are grouped in accordance with the climatic production seasonality (summer and winter). It were assessed 30 samples of honey from beekeepers located in the cities of Monteiro Lobato, Campos do Jordão, Santo Antonio do Pinhal e São Bento do Sapucaí-SP, regarding both periods of honey production (November to February; July to September, during 2007 and 2008; n = 30). Samples were submitted to physicochemical analysis of total acidity, pH, humidity, water activity, density, aminoacids, ashes, color and electrical conductivity, identifying physicochemical standards of honey samples from both periods of production. Next, we carried out a cluster analysis of data using k-means algorithm, which grouped the samples into two classes (summer and winter). Thus, there was a supervised training of an Artificial Neural Network (ANN) using backpropagation algorithm. According to the analysis, the knowledge gained through the ANN classified the samples with 80% accuracy. It was observed that the ANNs have proved an effective tool to group samples of honey of the region of Campos do Jordao according to their physicochemical characteristics, depending on the different production periods.