Produção de lipídios microbianos a partir de glicerol bruto gerado na síntese de biodiesel

Diante da grande quantidade de glicerol bruto gerado na síntese do biodiesel e seu baixo valor comercial, torna-se fundamental encontrar formas alternativas para converter este substrato em produtos com valor agregado. Neste contexto, este trabalho teve como objetivo avaliar diferentes leveduras oleaginosas capazes de metabolizar o glicerol bruto, gerado como coproduto na síntese de biodiesel, visando produzir biomassa como fonte de lipídios. Todos os cultivos foram realizados em frascos agitados, em condições estabelecidas de acordo com cada etapa do trabalho, sendo obtidos dados relativos ao crescimento celular e à produção de lipídios, tratados estatisticamente conforme o propósito. Lipomyces lipofer NRRL Y-1155 apresentou diferenças significativas em relação às outras leveduras oriundas de banco de cultura, atingindo 57,64% de lipídios na biomassa. Estas leveduras apresentarem perfis de ácidos graxos diferenciados, semelhantes aos dos principais óleos vegetais utilizadas na síntese de biodiesel, com predominância de ácidos graxos poli-insaturados, especialmente ácido linoleico (68,3% na levedura Rhodotorula glutinis NRRL YB-252). O ácido gama-linolênico, um ácido graxo essencial ω6, foi detectado em todas as leveduras analisadas, sendo que na biomassa de Candida cylindracea NRRL Y-17506 chegou a 23,1%. Através de um planejamento experimental Plackett-Burman, verificou-se que as variáveis concentração de extrato de levedura e de MgSO4.7H20 demonstraram maior influência na produção de lipídios por uma linhagem silvestre de Rhodotorula mucilaginosa. Para esta levedura, a partir da análise de efeitos foi possível estabelecer a seguinte condição para a produção de lipídios: 30,0 g.L-1 glicerol; 5,0 g.L-1 KH2PO4; 1,0 g.L-1 Na2HPO4; 3,0 g.L-1 MgSO4.7H2O; 1,2 g.L-1 extrato de levedura; pH inicial 4,5; temperatura 25°C. Nestas condições conseguiu-se um teor de lipídios de 59,96% e lipídios totais produzidos de 5,51 g.L-1 . Também foi possível observar aumento no teor de lipídios da biomassa ao longo do tempo de cultivo, bem como o aumento do teor relativo do ácido linoleico, que atingiu 52%. Dentre as leveduras isoladas a partir de amostras ambientais do Extremo Sul do Brasil, a levedura identificada como Cryptococcus humicola se destacou das demais, apresentando proporção de 23,5% de ácidos graxos saturados, 14,8% de ácidos graxos monoinsaturados e 54,9% de ácidos graxos poli-insaturados, destacando-se o ácido linoleico. O planejamento Plackett-Burman foi também utilizado para esta levedura, sendo que as variáveis concentração de extrato de levedura e glicerol bruto demonstraram maior influência na produção de lipídios. Posteriormente, um delineamento composto central rotacional (DCCR) foi proposto visando à otimização da produção de lipídios. Os modelos empíricos preditivos obtidos para biomassa máxima e lipídios totais permitiram estabelecer para a produção de lipídios por Cryptococcus humicola a seguinte condição otimizada: 100,0 g.L-1 glicerol; 5,0 g.L-1 KH2PO4; 1,0 g.L-1 Na2HPO4; 4,8 g.L-1 extrato de levedura; pH inicial 4,5; temperatura 25°C. Esta condição representou um incremento de cerca de 2 vezes nos lipídios totais em relação à melhor condição estabelecida pelo planejamento Plackett-Burmann e um acréscimo de cerca de 4,8 vezes em relação às condições testadas inicialmente, atingindo 37,61% de lipídios e 8,85 g.L-1 de lipídios totais. Deste modo, os propósitos de valorização de um coproduto oriundo da síntese de biodiesel, bem como a produção de um óleo com potencial para a produção de biodiesel, foram cumpridos.

Advanced Analytical Microscopy at the Nanoscale: Applications in Wide Bandgap and Solid Oxide Fuel Cell Materials

The atomic-level structure and chemistry of materials ultimately dictate their observed macroscopic properties and behavior. As such, an intimate understanding of these characteristics allows for better materials engineering and improvements in the resulting devices. In our work, two material systems were investigated using advanced electron and ion microscopy techniques, relating the measured nanoscale traits to overall device performance. First, transmission electron microscopy and electron energy loss spectroscopy (TEM-EELS) were used to analyze interfacial states at the semiconductor/oxide interface in wide bandgap SiC microelectronics. This interface contains defects that significantly diminish SiC device performance, and their fundamental nature remains generally unresolved. The impacts of various microfabrication techniques were explored, examining both current commercial and next-generation processing strategies. In further investigations, machine learning techniques were applied to the EELS data, revealing previously hidden Si, C, and O bonding states at the interface, which help explain the origins of mobility enhancement in SiC devices. Finally, the impacts of SiC bias temperature stressing on the interfacial region were explored. In the second system, focused ion beam/scanning electron microscopy (FIB/SEM) was used to reconstruct 3D models of solid oxide fuel cell (SOFC) cathodes. Since the specific degradation mechanisms of SOFC cathodes are poorly understood, FIB/SEM and TEM were used to analyze and quantify changes in the microstructure during performance degradation. Novel strategies for microstructure calculation from FIB-nanotomography data were developed and applied to LSM-YSZ and LSCF-GDC composite cathodes, aged with environmental contaminants to promote degradation. In LSM-YSZ, migration of both La and Mn cations to the grain boundaries of YSZ was observed using TEM-EELS. Few substantial changes however, were observed in the overall microstructure of the cells, correlating with a lack of performance degradation induced by the H2O. Using similar strategies, a series of LSCF-GDC cathodes were analyzed, aged in H2O, CO2, and Cr-vapor environments. FIB/SEM observation revealed considerable formation of secondary phases within these cathodes, and quantifiable modifications of the microstructure. In particular, Cr-poisoning was observed to cause substantial byproduct formation, which was correlated with drastic reductions in cell performance.

Síntese de zeólitas e argilas ácidas pilarizadas a partir de matérias primas naturais

Structural changes in waste for zeolites synthesis are subject of many studies carried out in the synthesis of molecular sieves. These materials are named molecular sieves because they have well defined pore sizes and they have the capacity of select molecules by its size. In this work, it was studied the synthesis processes of two types of molecular sieves: pillared acid clays using as starting material one natural montmorillonite clay and the synthesis of zeolites from a silico-aluminous residue. This residue is a byproduct of the extraction of lithium -spodumene. The preparation of pillared acid clays was performed in two steps: 1° acid treatment of clay samples (time and temperature studies) and 2°pilarization of them with Al13 (Keggin ion). The temperature and acid concentration affect the removal of cations in the structure and porosity of the material obtained. The analysis of X-ray diffraction (XRD) and infrared spectroscopy (IR), showed that increasing the severity of the acid treatment compromises the structural material. Also the pore size distribution is approximately uniform. Despite presenting a structural disorganization, the samples were pillared. As evidenced by XRD increasing the basal spacing, specific area and uniform porosity by adsorption of N2. Regarding the microporous molecular sieves were synthesized zeolites A and NaP1 from a silico-aluminous residue, a byproduct of extracting lithium. The temperature and time of agitation during the synthesis were the most important factors for obtaining zeolite A. The aging of the gel and the highest crystallization time promoted the formation of zeolite NaP1 using a Si / Al ratio = 3.2

Recent Advances in the Direct Nucleophilic Substitution of Allylic Alcohols through SN1-Type Reactions

Direct nucleophilic substitution reactions of allylic alcohols are environmentally friendly, since they generate only water as a byproduct, allowing access to new allylic compounds. This reaction has, thus, attracted the interest of the chemical community and several strategies have been developed for its successful accomplishment. This review gathers the latest advances in this methodology involving SN1-type reactions.

Extração de metais (K, Mg, Ba, Ca, Cr, Mn, Li, Fe) de água produzida utilizando sistema microemulsionado

The produced water is a byproduct formed due to production of petroleum and carries with it a high amount of contaminants such as oil particles in suspension, organic compounds and metals. Thus, these latter pollutants are very difficult to treat because of its high solubility in water. The objective of this work is to use and evaluate a microemulsioned system to remove metals ( K , Mg , Ba , Ca , Cr , Mn , Li , Fe ) of synthetic produced water. For the extraction of metals, it was used a pseudoternary diagram containing the following phases: synthetic produced water as the aqueous phase (AP), hexane as organic phase (OP), and a cosurfactant/surfactant ratio equal to four (C/S = 4) as the third phase, where the OCS (saponified coconut oil) was used as surfactant and n-butanol as cosurfactant. The synthetic produced water was prepared in a bench scale and the region of interest in the diagram for the removal of metals was determined by experimental design called. Ten points located in the phase Winsor II were selected in an area with a large amount of water and small amounts of reagents. The samples were analyzed in atomic absorption spectrometer, and the results were evaluated through a statistical assesment, allowing the efficiency analysis of the effects and their interactions. The results showed percentages of extraction above 90% for the metals manganese, iron, chromium, calcium, barium and magnesium, and around 45% for metals lithium and potassium. The optimal point for the simultaneous removal of metals was calculated using statistical artifact multiple response function (MR). This calculation showed that the point of greatest extraction of metals occurs was the J point, with the composition [72% AP, 9% OP, 19% C/S], obtaining a global extraction percentage about 80%. Considering the aspects analyzed, the microemulsioned system has shown itself to be an effective alternative in the extraction of metals on synthetic produced water remediation

Obtenção de álcool alílico (PROP-2-EN-1-OL) a partir da glicerina derivada do biodiesel de óleo de mamona

In this work, biodiesel was produced from castor oil that was a byproduct glycerin. The molar ratio between oil and alcohol, as well as the use of (KOH) catalyst to provide the chemical reaction is based on literature. The best results were obtained using 1 mol of castor oil (260g) to 3 moles of methyl alcohol (138g), using 1.0% KOH as catalyst at a temperature of 260 ° C and shaken at 120 rpm. The oil used was commercially available, the process involves the reaction of transesterification of a vegetable oil with methyl alcohol. The product of this reaction is an ester, biodiesel being the main product and the glycerin by-product which has undergone treatment for use as raw material for the production of allyl alcohol. The great advantage of the use of glycerin to obtain allyl alcohol is that its use eliminates the large amount of waste of the biodiesel and various forms of insult to the environment. The reactions for the formation of allyl alcohol was conducted from formic acid and glycerin in a ratio 1/1, at a temperature of 260oC in a heater blanket, being sprayed by a spiral condenser for a period of 2 hours and the product obtained contains mostly the allylic alcohol .. The monitoring of reactions was performed by UV-Visible Spectrophotometer: FTIR Fourier transform, the analysis showed that these changes occur spectrometer indicating the formation of the product allylic alcohol (prop-2-en-1-ol) in the presence of water, This alcohol was appointed Alcohol GL. The absorption bands confirms that the reaction was observed in (υ C = C) 1470 -1600 cm -1 and (υ CO), 3610-3670 attributed to C = C groups and OH respectively. The thermal analysis was carried out in a thermogravimetric analyzer SDT Q600, where the mass and temperature are displayed against time, that allows checking the approximate rate of heating. The innovative methodology developed in the laboratory (LABTAM, UFRN), was able to treat the glycerine produced by transesterification of castor oil and used as raw material for production of allyl alcohol, with a yield of 80%, of alcohol, the same is of great importance in the manufacture of polymers, pharmaceuticals, organic compounds, herbicides, pesticides and other chemicals

Keeping Variables within Bounds: Using Information between Observations

This research develops an econometric framework to analyze time series processes with bounds. The framework is general enough that it can incorporate several different kinds of bounding information that constrain continuous-time stochastic processes between discretely-sampled observations. It applies to situations in which the process is known to remain within an interval between observations, by way of either a known constraint or through the observation of extreme realizations of the process. The main statistical technique employs the theory of maximum likelihood estimation. This approach leads to the development of the asymptotic distribution theory for the estimation of the parameters in bounded diffusion models. The results of this analysis present several implications for empirical research. The advantages are realized in the form of efficiency gains, bias reduction and in the flexibility of model specification. A bias arises in the presence of bounding information that is ignored, while it is mitigated within this framework. An efficiency gain arises, in the sense that the statistical methods make use of conditioning information, as revealed by the bounds. Further, the specification of an econometric model can be uncoupled from the restriction to the bounds, leaving the researcher free to model the process near the bound in a way that avoids bias from misspecification. One byproduct of the improvements in model specification is that the more precise model estimation exposes other sources of misspecification. Some processes reveal themselves to be unlikely candidates for a given diffusion model, once the observations are analyzed in combination with the bounding information. A closer inspection of the theoretical foundation behind diffusion models leads to a more general specification of the model. This approach is used to produce a set of algorithms to make the model computationally feasible and more widely applicable. Finally, the modeling framework is applied to a series of interest rates, which, for several years, have been constrained by the lower bound of zero. The estimates from a series of diffusion models suggest a substantial difference in estimation results between models that ignore bounds and the framework that takes bounding information into consideration.

Evaluación de la exposición laboral a sílice en empresas de diferentes sectores económicos en Colombia

Introducción: La sílice es un elemento de fácil aprovechamiento y por sus características fisicoquímicas ha sido ampliamente empleado en la industria como objetivo, materia prima o subproducto que genera silicosis en los trabajadores que han estado expuestos a polvo de sílice a través de los años y es una enfermedad que progresa incluso cuando la exposición cesa. La silicosis es conocida como una enfermedad de alta e histórica incidencia y prevalencia a nivel mundial, por lo que es necesario evaluar la exposición laboral a sílice (fracción respirable) en empresas pertenecientes a diferentes sectores económicos que están afiliadas una ARL en Colombia, para contribuir con información diagnóstica actualizada en diferentes regiones y en variadas actividades económicas. Objetivos: Evaluar la exposición laboral a sílice y el nivel de riesgo en empresas afiliadas a una ARL de acuerdo con su ubicación geográfica, actividad económica, área de trabajo, cargo y relacionar las medidas de control empleadas en cada empresa. Materiales y métodos: Se llevó a cabo un estudio de corte transversal sobre 239 mediciones de higiene industrial de 159 empresas de diferentes actividades través de la asociación de variables ocupacionales con las características de la exposición a sílice. Las variables cuantitativas fueron calculadas empleando medidas de tendencia central como media y mediana y medidas de dispersión como rango y desviación estándar con sus correspondientes coeficientes de variación. El nivel máximo permisible o TLV establecido de acuerdo con los parámetros señalados por la Conferencia Americana de Higienistas Industriales Gubernamentales (ACGIH en inglés) y empleado en este estudio para sílice cristalina, fue de 0,025 mg/m3. Resultados: Las actividades económicas que reportaron las mayores concentraciones corregidas a condiciones estándar de polvo de sílice fueron: la minería y actividades Extractivas con 6,340 mg/m3, el mantenimiento industrial, montajes electromecánicos y civiles con 1,312 mg/m3, la maquinaria, metalmecánica, electrodomésticos y equipos con 0,096 mg/m3 y la construcción con 0,702 mg/m3; Discusión: Se realizó un análisis segmentado en dos grupos A y B de acuerdo con el tiempo de medición, se encontró que para el índice de riesgo en ambos grupos indican una sobre-exposición de los trabajadores a niveles críticos, razón por la cual es necesario generar una estrategia de intervención que permita disminuir a tiempo las concentraciones de sílice en las áreas de trabajo y así reducir la exposición de los trabajadores.

INTEGRACIÓN ESPACIAL Y ESPECTRAL DE IMÁGENES FOTOGRÁFICAS: EL CASO DE OROSI, PARAÍSO, CARTAGO – COSTA RICA

Los sensores remotos proveen imágenes que según sus características permiten determinar cambios en el uso de la tierra. Se han desarrollado sensores con alto potencial para llevar a cabo este tipo de trabajo, aunque en ocasiones es difícil tener todos los elementos para discriminar los objetos en una misma imagen, por ello recurrimos a transformaciones para la consecución de los objetivos. Este artículo constituye un subproducto del proyecto “Análisis de los cambios del uso de la tierra en el distrito de Orosi, utilizando datos teledetectados de los proyectos CENIGA1 (TERRA 97) y CARTA2 2003: período 1997-2003”. En el caso de Carta 2003 y Spot se presenta una coincidencia temporal pero no espacial ni espectral. El objetivo es ofrecer técnicas de transformación de imágenes fotográficas y multiespectrales del proyecto Carta 2003, así como una imagen de la plataforma del Spot. Las transformaciones de las imágenes permitieron cambiar la resolución espacial y espectral, las cuales variaban de 2 a 30 metros espacialmente y de 1 a 50 en su espectro. Para los objetivos de la investigación se seleccionaron 9 bandas a las cuales fue posible aplicarles las transformaciones. Se obtuvo resultante de 2 metros de resolución espacial y 9 bandas espectrales. Utilizando las resultantes se realizó la clasificación supervisada, con lo cual se obtuvo un mayor nivel de detalle en la delimitación de los diferentes usos presentes en el área de estudio. ABSTRACT Remote sensors supply images that, according to their characteristics, allow for determining changes in land use. Sensors have been developed with a high potential to carry out this type of work, although on occasion it is difficult to have all of the elements to distinguish the objects in the same image, and for that we resort to transformations to attain the objectives. This article constitutes a byproduct of the project: “Analysis of Land Use Changes in the District of Orosi, Using Remote Sensing Data of the Projects CENIGA (TERRA 97) and CARTA 2003: Period 1997-2003”. CARTA 2003 and Spot present temporary coincidence but not spatial or spectral. The objective is to offer techniques of transforming photographic images and multispectrals of the CARTA 2003 project, such as an image of the Spot platform. Transformation of the images allowed for changing the spatial and spectral resolution, which varied from 2 to 30 meters spatially and from 1 to 50 in their spectrum. For the objectives of the investigation, nine bands were selected to which it was possible to apply the transformations, and with them managed to obtain results of 2 meters of spatial resolution and 9 spectral bands. Utilizing the results, the supervised classification was realized, obtaining a greater level of detail in defining the different uses present in the area of study.