Procesos oxidativos en matrices alimentarias complejas. Oxidative processes in complex food matrices.

Las reacciones bioqu��micas que ocurren como consecuencia del tratamiento y almacenamiento de los alimentos, mejoran la seguridad alimentaria, las propiedades sensoriales y la vida ��til. Sin embargo, el tratamiento t��rmico, la exposici��n a la luz y el ox��geno pueden causar da��o oxidativo a los l��pidos y prote��nas. Los procesos oxidativos de matrices complejas tienen caracter��sticas distintivas que no se manifiestan cuando los componentes son sometidos a oxidaci��n individualmente. La hip��tesis de trabajo es que la oxidaci��n de prote��nas en matrices alimentarias complejas altera la estructura y las propiedades funcionales de las prote��nas y, que las modificaciones que se producen var��an seg��n las condiciones de procesamiento y de la composici��n qu��mica del alimento. Nuestros estudios intentan demostrar que el estado oxidativo de las prote��nas de un alimento es un par��metro importante para la evaluaci��n de las propiedades funcionales, sensoriales y nutricionales de un producto l��cteo. El objetivo general del proyecto es el estudio de los procesos de oxidaci��n de matrices alimentarias complejas (la leche, miel) y su relaci��n con distintos procesos y materiales utilizados en la industria. Es decir, nos proponemos estudiar las consecuencias funcionales y biol��gicas (calidad nutricional, coagulaci��n) de la oxidaci��n proteica en modelos experimentales ���in vitro��� y en productos comerciales. 1. Estudiar los fen��menos de peroxidaci��n proteica en leche entera y descremada sometida a los distintos procesos tecnol��gicos de la producci��n de leche y queso a escala laboratorio. Se realizar��n las mismas experiencias con alb��mina s��rica y con prote��nas aisladas de suero de leche para comparar diferencias entre una matriz compleja y una simple. 2. Determinar la relaci��n entre oxidaci��n y composici��n proteica de la leche, y los cambios en las fracciones proteicas aisladas (case��nas y beta-lactoglobulina). 3. Analizar el impacto de los procesos tecnol��gicos a nivel de producci��n primaria (composici��n proteica y estado de oxidaci��n) en los indicadores de inflamaci��n (contenido de c��lulas som��ticas y prote��na C Reactiva) y de estado redox (capacidad antioxidante de los productos l��cteos y nivel de carbonilos de proteinas). 4. Comparar las caracter��sticas de composici��n qu��mica y el estado de oxidaci��n de leche provenientes de las tres regiones (Buenos Aires, Santa Fe y C��rdoba) que conforman la cuenca l��ctea Argentina. Este objetivo se realizar�� conjuntamente con los integrantes de nuestro grupo de investigaci��n que trabajan en el Laboratorio de Control de Calidad de la Escuela Superior de Lecher��a. 5. Determinar los metabolitos secundarios de mieles uniflorales propuestos como responsables de la capacidad antioxidante de estas (polifenoles) y como indicadores de su origen bot��nico. 6. Valorar la capacidad antioxidante total de mieles uniflorales. 7. Validar los m��todos anal��ticos y semicuantitativos utilizados y a utilizar en el presente proyecto teniendo en cuenta lo efectos de matrices t��pico de los fluidos biol��gicos y las mezclas. El estudio de las modificaciones oxidativas de matrices complejas es un tema que es importante tanto desde el punto de vista del conocimiento b��sico como del aplicado. Nosotros creemos que el presente proyecto aportar�� conocimiento sobre las caracter��sticas de las v��as oxidativas de prote��nas en matrices complejas y que podr�� ser utilizado para dise��ar estrategias productivas tendientes a disminuir el deterioro de la calidad de la leche debido a la exposici��n a energ��a radiante. Parte de la experiencia ganada por el grupo ha sido ya volcada a subsanar dificultades y problemas de oxidaci��n y deterioro de la calidad de alimentos. Adem��s, se contribuir�� a discernir la paradoja que existe en el ��rea sobre las propiedades oxidantes/antioxidantes de los polifenoles y la relaci��n entre estas y el estado oxidativo de un alimento. The biochemical reactions that occur as a result of food treatment and storage, improve food security, sensory properties and shelf life. Heat treatment, exposure to light and oxygen can cause oxidative damage to lipids and proteins. Oxidative processes in complex matrices display distinctive features that do not appear when the components are individually subjected to oxidation. The hypothesis is that protein oxidation in complex food matrices alters the structure and functional properties of proteins and that the modifications vary according to process conditions and food composition. The main goal is to study oxidation of complex food matrices (milk, honey) with different processes and materials used in the industry. The specific aims are: 1. To study protein oxidation in whole milk and skim subject to various technological processes. The same experiences will be done with serum albumin and isolated whey proteins to compare complex and simple matrices. 2. To determine the relationship between oxidation and milk protein composition, and changes in casein and beta-lactoglobulin. 3. Analyze the impact of technological processes at the level of primary production on markers of inflammation and redox (antioxidant capacity and protein carbonyls). 4. Compare characteristics of chemical composition and oxidation state of milk. 5. Determine secondary metabolites of honey responsible for the antioxidant capacity of these. 6. To evaluate the total antioxidant capacity unifloral honey. This project will provide knowledge about characteristics of oxidative pathways of proteins in complex matrices that can be used to design production strategies aimed at reduce the deterioration of milk quality. Also, it would help to discern the paradox that exists on the oxidants/antioxidants properties of polyphenols and the relationship between these and the oxidative status of a food.

Stability at different temperatures of turmeric oleoresin encapsulated in maltodextrin/gelatin matrices by freeze-drying

Turmeric (Curcuma longa L.), which has been used for long time as a spice, food preservative and coloring agent, is a rich source of beneficial phenolic compounds identified as curcuminoids. These phenolic compounds are known for their antioxidant, anti-inflammatory and antimutagenic properties, among others. On the other hand, they are very susceptible to oxidation, requiring protection against oxygen, light and heat. This protection can be achieved by microencapsulation. In this work, the characteristics and the stability of turmeric oleoresin encapsulated by freeze-drying using mixtures of maltodextrin and gelatin as wall materials were studied. Encapsulated turmeric oleoresin was stored at ���20, 25 and 60 ��C, in the absence of light, and analyzed over a period of 35 days for curcumin and total phenolic contents and color. Results showed that the samples produced with 26% maltodextrin/0.6% gelatin and 22% maltodextrin/3% gelatin presented good encapsulation efficiencies and solubility. In general, the method of encapsulation employed originated products with satisfactory thermal stability, although the encapsulated materials with a higher proportion of maltodextrin in relation to gelatin had better stabilities, especially at ���20 and 25 ��C temperatures.

Diet Carotenoid Lutein Modulates The Expression Of Genes Related To Oxygen Transporters And Decreases Dna Damage And Oxidative Stress In Mice.

Lutein (LT) is a carotenoid obtained by diet and despite its antioxidant activity had been biochemically reported, few studies are available concerning its influence on the expression of antioxidant genes. The expression of 84 genes implicated in antioxidant defense was quantified using quantitative reverse transcription polymerase chain reaction array. DNA damage was measured by comet assay and glutathione (GSH) and thiobarbituric acid reactive substances (TBARS) were quantified as biochemical parameters of oxidative stress in mouse kidney and liver. cDDP treatment reduced concentration of GSH and increased TBARS, parameters that were ameliorated in treatment associated with LT. cDDP altered the expression of 32 genes, increasing the expression of GPx2, APC, Nqo1 and CCs. LT changed the expression of 37 genes with an induction of 13 mainly oxygen transporters. In treatments associating cDDP and LT, 30 genes had their expression changed with a increase of the same genes of the cDDP treatment alone. These results suggest that LT might act scavenging reactive species and also inducing the expression of genes related to a better antioxidant response, highlighting the improvement of oxygen transport. This improved redox state of the cell through LT treatment could be related to the antigenotoxic and antioxidant effects observed.

The Basic Reproduction Number Obtained From Jacobian And Next Generation Matrices - A Case Study Of Dengue Transmission Modelling.

The basic reproduction number is a key parameter in mathematical modelling of transmissible diseases. From the stability analysis of the disease free equilibrium, by applying Routh-Hurwitz criteria, a threshold is obtained, which is called the basic reproduction number. However, the application of spectral radius theory on the next generation matrix provides a different expression for the basic reproduction number, that is, the square root of the previously found formula. If the spectral radius of the next generation matrix is defined as the geometric mean of partial reproduction numbers, however the product of these partial numbers is the basic reproduction number, then both methods provide the same expression. In order to show this statement, dengue transmission modelling incorporating or not the transovarian transmission is considered as a case study. Also tuberculosis transmission and sexually transmitted infection modellings are taken as further examples.

Cidadania e educa����o f��sica : matrizes hist��ricas e pol��ticas, contradi����es e perspectivas = Citizenship and physical education : historical and political matrices, perspectives and contradictions

Universidade Estadual de Campinas . Faculdade de Educa����o F��sica

Porcine skin as a source of biodegradable matrices: alkaline treatment and glutaraldehyde crosslinking

In this work, the modifications promoted by alkaline hydrolysis and glutaraldehyde (GA) crosslinking on type I collagen found in porcine skin have been studied. Collagen matrices were obtained from the alkaline hydrolysis of porcine skin, with subsequent GA crosslinking in different concentrations and reaction times. The elastin content determination showed that independent of the treatment, elastin was present in the matrices. Results obtained from in vitro trypsin degradation indicated that with the increase of GA concentration and reaction time, the degradation rate decreased. From thermogravimetry and differential scanning calorimetry analysis it can be observed that the collagen in the matrices becomes more resistant to thermal degradation as a consequence of the increasing crosslink degree. Scanning electron microscopy analysis indicated that after the GA crosslinking, collagen fibers become more organized and well-defined. Therefore, the preparations of porcine skin matrices with different degradation rates, which can be used in soft tissue reconstruction, are viable.

Direct Computation of Operational Matrices for Polynomial Bases

Several numerical methods for boundary value problems use integral and differential operational matrices, expressed in polynomial bases in a Hilbert space of functions. This work presents a sequence of matrix operations allowing a direct computation of operational matrices for polynomial bases, orthogonal or not, starting with any previously known reference matrix. Furthermore, it shows how to obtain the reference matrix for a chosen polynomial base. The results presented here can be applied not only for integration and differentiation, but also for any linear operation.

Signatures of oxygen on Cu(3)Au(100): From isolated impurity to oxide regimes

We analyze the scanning tunneling microscopy (STM) signatures for the O/Cu(3)Au(100) surface from the low-coverage (isolated impurity) to high-coverage (oxide) regimes. First-principles calculations show that oxygen signatures switch from dark to bright spots as the oxygen coverage increases. This behavior is nicely traced back to a change in the oxygen orbital character of the Fermi-level electronic states. Our results allow for the chemical identification by STM of oxygen and copper atoms in the fully ordered O/Cu(3)Au(100)-c(2x2) surface.

Simplified Mathematical Model for an Anaerobic Sequencing Batch Biofilm Reactor Treating Lipid-Rich Wastewater Subject to Rising Organic Loading Rates

This study proposes a simplified mathematical model to describe the processes occurring in an anaerobic sequencing batch biofilm reactor (ASBBR) treating lipid-rich wastewater. The reactor, subjected to rising organic loading rates, contained biomass immobilized cubic polyurethane foam matrices, and was operated at 32 degrees C +/- 2 degrees C, using 24-h batch cycles. In the adaptation period, the reactor was fed with synthetic substrate for 46 days and was operated without agitation. Whereas agitation was raised to 500 rpm, the organic loading rate (OLR) rose from 0.3 g chemical oxygen demand (COD) . L(-1) . day(-1) to 1.2 g COD . L(-1) . day(-1). The ASBBR was fed fat-rich wastewater (dairy wastewater), in an operation period lasting for 116 days, during which four operational conditions (OCs) were tested: 1.1 +/- 0.2 g COD . L(-1) . day(-1) (OC1), 4.5 +/- 0.4 g COD . L(-1) . day(-1) (OC2), 8.0 +/- 0.8 g COD . L(-1) . day(-1) (OC3), and 12.1 +/- 2.4 g COD . L(-1) . day(-1) (OC4). The bicarbonate alkalinity (BA)/COD supplementation ratio was 1:1 at OC1, 1:2 at OC2, and 1:3 at OC3 and OC4. Total COD removal efficiencies were higher than 90%, with a constant production of bicarbonate alkalinity, in all OCs tested. After the process reached stability, temporal profiles of substrate consumption were obtained. Based on these experimental data a simplified first-order model was fit, making possible the inference of kinetic parameters. A simplified mathematical model correlating soluble COD with volatile fatty acids (VFA) was also proposed, and through it the consumption rates of intermediate products as propionic and acetic acid were inferred. Results showed that the microbial consortium worked properly and high efficiencies were obtained, even with high initial substrate concentrations, which led to the accumulation of intermediate metabolites and caused low specific consumption rates.

Hyperbaric Oxygen Prevents Early Death Caused by Experimental Cerebral Malaria

Background: Cerebral malaria (CM) is a syndrome characterized by neurological signs, seizures and coma. Despite the fact that CM presents similarities with cerebral stroke, few studies have focused on new supportive therapies for the disease. Hyperbaric oxygen (HBO) therapy has been successfully used in patients with numerous brain disorders such as stroke, migraine and atherosclerosis. Methodology/Principal Findings: C57BL/6 mice infected with Plasmodium berghei ANKA (PbA) were exposed to daily doses of HBO (100% O(2), 3.0 ATA, 1-2 h per day) in conditions well-tolerated by humans and animals, before or after parasite establishment. Cumulative survival analyses demonstrated that HBO therapy protected 50% of PbA-infected mice and delayed CM-specific neurological signs when administrated after patent parasitemia. Pressurized oxygen therapy reduced peripheral parasitemia, expression of TNF-alpha, IFN-gamma and IL-10 mRNA levels and percentage of gamma delta and alpha beta CD4(+) and CD8(+) T lymphocytes sequestered in mice brains, thus resulting in a reduction of blood-brain barrier (BBB)dysfunction and hypothermia. Conclusions/Significance: The data presented here is the first indication that HBO treatment could be used as supportive therapy, perhaps in association with neuroprotective drugs, to prevent CM clinical outcomes, including death.

Disordered ensembles of random matrices

It is shown that the families of generalized matrix ensembles recently considered which give rise to an orthogonal invariant stable Levy ensemble can be generated by the simple procedure of dividing Gaussian matrices by a random variable. The nonergodicity of this kind of disordered ensembles is investigated. It is shown that the same procedure applied to random graphs gives rise to a family that interpolates between the Erdos-Renyi and the scale free models.

The role of oxygen vacancy in the photoluminescence property at room temperature of the CaTiO(3)

In this paper, electron paramagnetic resonance, photoluminescence (PL) emission, and quantum mechanical calculations were used to observe and understand the structural order-disorder of CaTiO(3), paying special attention to the role of oxygen vacancy. The PL phenomenon at room temperature of CaTiO(3) is directly influenced by the presence of oxygen vacancies that yield structural order-disorder. These oxygen vacancies bonded at Ti and/or Ca induce new electronic states inside the band gap. Ordered and disordered CaTiO(3) was obtained by the polymeric precursor method. (C) 2009 American Institute of Physics. [DOI: 10.1063/1.3190524]

INFERENCE FOR EIGENVALUES AND EIGENVECTORS OF GAUSSIAN SYMMETRIC MATRICES

This article presents maximum likelihood estimators (MLEs) and log-likelihood ratio (LLR) tests for the eigenvalues and eigenvectors of Gaussian random symmetric matrices of arbitrary dimension, where the observations are independent repeated samples from one or two populations. These inference problems are relevant in the analysis of diffusion tensor imaging data and polarized cosmic background radiation data, where the observations are, respectively, 3 x 3 and 2 x 2 symmetric positive definite matrices. The parameter sets involved in the inference problems for eigenvalues and eigenvectors are subsets of Euclidean space that are either affine subspaces, embedded submanifolds that are invariant under orthogonal transformations or polyhedral convex cones. We show that for a class of sets that includes the ones considered in this paper, the MLEs of the mean parameter do not depend on the covariance parameters if and only if the covariance structure is orthogonally invariant. Closed-form expressions for the MLEs and the associated LLRs are derived for this covariance structure.