Optimizing xanthophyll concentrations in diets to obtain well-pigmented yolks

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Production of β-(1,3)-glucanases by Trichoderma harzianum Rifai: Optimization and Application to Produce Gluco-oligosaccharides from Paramylon and Pustulan

β-(1→3)-Glucanases were produced by Trichoderma harzianum Rifai PAMB-86 cultivated on botryosphaeran in a bench-fermenter and optimised by the response surface method. Maximal enzyme titres occurred at 5 days, initial pH 5.5 and aeration of 1.5vvm. β-(1→3)-The β-glucanolytic enzyme complex produced by T. harzianum Rifai PAMB- 86 was fractionated by gel filtration into 2 fractions (F-I, F-II), and employed to produce gluco-oligosaccharides from algal paramylon ((1→3)-β-D-glucan) and lichen pustulan ((1→6)-β-D-glucan). Both enzymes attacked paramylon to the extent of ~15-20% in 30 min releasing glucose and laminaribiose as major end-products, and laminarioligosaccharides of degree of polymerization (DP) ≥3. Only F-I degraded pustulan resulting in ~2% degradation at 30 min, with glucose, gentiobiose and gentio-oligosaccharides of DP ≥4 as major products. The difference in the nature of the hydrolysis products can be explained by the substrate specificities of each enzyme fraction, and the structural differences of the β-D-glucans attacked.

Produção de fitases por fermentação em estado sólido e imobilização das enzimas por srpay drying

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

Produção de enzimas celulolíticas pelos fungos Trichoderma reesei e Myceliophthora thermophila e aplicação na sacarificação do bagaço de cana-de-açucar

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

Strategic use of dietary electrolyte balance and ratio for broiler chickens

The literature reports dealing with the dietary electrolyte ratio (K+Cl)/ Na are rare, although the concept has been proposed by Mongin in 1981. Thus, its application appears to be limited as a nutritional strategy in feed formulation, which usually meets only the minimum nutritional recommendations in Na, K and Cl. The objective of this study was to evaluate the performance of broilers submitted to different dietary electrolyte balances (DEB) Na+K-Cl and dietary electrolyte ratio (DER) from 1 to 21 d of age. A total of 1575 male 1-d old broiler chicks were randomly assigned to 5 treatments with 9 replicates of 35 chicks each. The treatments consisted of diets with 5 relation of electrolytes, arising from combinations DEB/DER 150/3, 250/2, 250/3, 250/4 and 350/3, with use of NaCl, NaHCO3, KCl, K2SO4 and CaCl2. All diets were corn-soybean meal based and formulated to meet or exceed the NRC (1994) requirements. Chicks had ad libitum access to feed and water in floor pens with wood shavings as litter. Body weight, feed intake and feed conversion ratio were measured at 21 d of age. It was found that only the feed conversion was significantly affected (P = 0.0142) by the combinations of relation of electrolytes (DEB and DER). The supplementation levels in DEB and DER were made to fit the data into a surface analysis to allow increasing levels of DEB (150–350 mEq/kg) and narrow and broad ratio of DER (2–4). For the canonical analysis of response surface was obtained the stationary point for body weight (DEB = 255.77 mEq/kg, and DER = 2.73:1) the value was 942.02 g; for feed intake (DEB = 251.69 mEq / kg and DER = 3.51:1), the value was 1200.02 g; and for feed conversion (DEB = 254.62 mEq/kg and DER = 3.06:1) the value was 1.35. The results of this experiment indicated that the best performance was obtained with combinations of relation of electrolytes for DEB between 251 and 255 mEq/kg and DER between 2.73:1 and 3.5:1.

Probabilistic crack growth analyses using a boundary element model: Applications in linear elastic fracture and fatigue problems

This paper addresses the numerical solution of random crack propagation problems using the coupling boundary element method (BEM) and reliability algorithms. Crack propagation phenomenon is efficiently modelled using BEM, due to its mesh reduction features. The BEM model is based on the dual BEM formulation, in which singular and hyper-singular integral equations are adopted to construct the system of algebraic equations. Two reliability algorithms are coupled with BEM model. The first is the well known response surface method, in which local, adaptive polynomial approximations of the mechanical response are constructed in search of the design point. Different experiment designs and adaptive schemes are considered. The alternative approach direct coupling, in which the limit state function remains implicit and its gradients are calculated directly from the numerical mechanical response, is also considered. The performance of both coupling methods is compared in application to some crack propagation problems. The investigation shows that direct coupling scheme converged for all problems studied, irrespective of the problem nonlinearity. The computational cost of direct coupling has shown to be a fraction of the cost of response surface solutions, regardless of experiment design or adaptive scheme considered. (C) 2012 Elsevier Ltd. All rights reserved.

Development of instrumental and sensory analytical methods of food obtained by traditional and emerging technologies

The consumer demand for natural, minimally processed, fresh like and functional food has lead to an increasing interest in emerging technologies. The aim of this PhD project was to study three innovative food processing technologies currently used in the food sector. Ultrasound-assisted freezing, vacuum impregnation and pulsed electric field have been investigated through laboratory scale systems and semi-industrial pilot plants. Furthermore, analytical and sensory techniques have been developed to evaluate the quality of food and vegetable matrix obtained by traditional and emerging processes. Ultrasound was found to be a valuable technique to improve the freezing process of potatoes, anticipating the beginning of the nucleation process, mainly when applied during the supercooling phase. A study of the effects of pulsed electric fields on phenol and enzymatic profile of melon juice has been realized and the statistical treatment of data was carried out through a response surface method. Next, flavour enrichment of apple sticks has been realized applying different techniques, as atmospheric, vacuum, ultrasound technologies and their combinations. The second section of the thesis deals with the development of analytical methods for the discrimination and quantification of phenol compounds in vegetable matrix, as chestnut bark extracts and olive mill waste water. The management of waste disposal in mill sector has been approached with the aim of reducing the amount of waste, and at the same time recovering valuable by-products, to be used in different industrial sectors. Finally, the sensory analysis of boiled potatoes has been carried out through the development of a quantitative descriptive procedure for the study of Italian and Mexican potato varieties. An update on flavour development in fresh and cooked potatoes has been realized and a sensory glossary, including general and specific definitions related to organic products, used in the European project Ecropolis, has been drafted.

Functional error modeling for uncertainty quantification in hydrogeology

Approximate models (proxies) can be employed to reduce the computational costs of estimating uncertainty. The price to pay is that the approximations introduced by the proxy model can lead to a biased estimation. To avoid this problem and ensure a reliable uncertainty quantification, we propose to combine functional data analysis and machine learning to build error models that allow us to obtain an accurate prediction of the exact response without solving the exact model for all realizations. We build the relationship between proxy and exact model on a learning set of geostatistical realizations for which both exact and approximate solvers are run. Functional principal components analysis (FPCA) is used to investigate the variability in the two sets of curves and reduce the dimensionality of the problem while maximizing the retained information. Once obtained, the error model can be used to predict the exact response of any realization on the basis of the sole proxy response. This methodology is purpose-oriented as the error model is constructed directly for the quantity of interest, rather than for the state of the system. Also, the dimensionality reduction performed by FPCA allows a diagnostic of the quality of the error model to assess the informativeness of the learning set and the fidelity of the proxy to the exact model. The possibility of obtaining a prediction of the exact response for any newly generated realization suggests that the methodology can be effectively used beyond the context of uncertainty quantification, in particular for Bayesian inference and optimization.

Propagation of nuclear data uncertainties in fuel cycle calculations using MONTE-CARLO Technique

The uncertainty propagation in fuel cycle calculations due to Nuclear Data (ND) is a important important issue for : issue for : • Present fuel cycles (e.g. high burnup fuel programme) • New fuel cycles designs (e.g. fast breeder reactors and ADS) Different error propagation techniques can be used: • Sensitivity analysis • Response Response Surface Method Surface Method • Monte Carlo technique Then, p p , , in this paper, it is assessed the imp y pact of ND uncertainties on the decay heat and radiotoxicity in two applications: • Fission Pulse Decay ( y Heat calculation (FPDH) • Conceptual design of European Facility for Industrial Transmutation (EFIT)

Levantamento de ocorrência, alternativas de manejo, mecanismos de resistência e herança genética do capim-amargoso (Digitaria insularis) resistente ao herbicida glyphosate

O glyphosate é o principal herbicida utilizado no manejo de plantas daninhas na agricultura, aplicado em alguns sistemas de forma repetitiva ao longo de cada ano. Esta prática selecionou biótipos resistentes de espécies de plantas daninhas, sendo o capim-amargoso (Digitaria insularis) selecionado no Brasil. Portanto, se tornam necessários estudos para entender, manejar e reduzir a infestação do capim-amargoso resistente ao glyphosate. Dessa forma, esta pesquisa foi desenvolvida com os objetivos de: (i) mapear áreas do Brasil com possíveis infestações de capim-amargoso resistente ao glyphosate; (ii) avaliar alternativas químicas de seu manejo; (iii) elucidar os mecanismos de resistência ao glyphosate e; (iv) avaliar a herança genética dos genes que conferem resistência ao glyphosate. Para o desenvolvimento dos experimentos foram coletadas sementes de biótipos potencialmente resistentes de diversas regiões do Brasil onde ocorreram falhas de controle de D. insularis após a aplicação de glyphosate. Na primeira etapa da pesquisa foram realizados experimentos para determinação de uma dose discriminatória de triagementre as populações resistentes e suscetíveis ao glyphosate, através de curvas de dose-resposta, para identificar a resistência ao Glyphosate, sendo que estes dados foram utilizados para mapear a ocorrência de biótipos resistentes em algumas regiões do país. Na segunda etapa foi conduzido um experimento em casa-de-vegetação visando encontrar herbicidas alternativos ao Glyphosate para controle do capim-amargoso, utilizando herbicidas recomendados para as culturas do milho e algodão, tanto em condições de aplicação de pré como em pós-emergência da planta daninha. Na terceira etapa foram realizados ensaios para determinar a existência de absorção e translocação diferencial do glyphosate em biótipos suscetíveis e resistentes, juntamente com a análise molecular para comparar a região 106 do gene que codifica a EPSPs nestes biótipos. Por fim um estudo de polinização cruzada foi conduzido para avaliar se genes de resistência ao glyphosate são transferidos para a geração seguinte após inflorescências de biótipos suscetíveis serem acondicionadas com as de biótipos resistentes, submetendo a geração seguinte a experimentos de curva de dose-resposta com o glyphosate. Através do modelo de curva dose-resposta do programa estatístico R, determinou-se a dose de 960 g e.a ha-1, como a dose utilizada para triagem dos biótipos oriundos de diferentes regiões do Brasil. Com isto foram gerados mapas indicando a presença ou ausência de resistência ao herbicida, sendo que as região oeste do Paraná e sul do Mato Grosso do Sul apresentam maior número de localidades com a presença de biótipos resistentes. As alternativas de controle viáveis como pós-emergentes no estádio de um a dois perfilhos, foram os herbicidas Nicosulfuron, Imazapic + Imazapyr, Atrazine, Haloxifop-methyl e Tepraloxydim. Na pré-emergência do capim-amargoso os herbicidas Atrazine, Isoxaflutole, S-metolachlor, Clomazone, Diuron e Flumioxazin se apresentaram como eficazes para o controle desta espécie. Os resultados do experimento de absorção, translocação e comparação da região 106 não mostraram diferenças entre os biótipos resistente e suscetível. O experimento sobre cruzamento entre biótipos resistente e suscetível determinou a espécie D. insularis como autógama e sem transferência de genes que causam a resistência ao glyphosate.

Compostos fenólicos de resíduos agroindustriais: identificação, propriedades biológicas e aplicação em matriz alimentar de base lipídica

A geração de resíduos sólidos pelas atividades agroindustriais tem criado a demanda por um reaproveitamento tecnológico desses materiais. Assim, o objetivo deste trabalho foi avaliar o potencial bioativo e tecnológico de resíduos agroindustriais, como fontes naturais de compostos fenólicos com atividade antioxidante. Foram analisados resíduos agroindustriais vinícolas, de indústrias produtoras de polpas congeladas de frutas (açaí, cajá, cupuaçu e graviola) e provenientes do beneficiamento de café e de laranja. Inicialmente, foi realizado um estudo para a determinação das condições ótimas de extração, empregando planejamento experimental multivariado com delineamento composto central rotacional, cujos resultados foram avaliados empregando a técnica de superfície de resposta. Na sequência, foram feitos a triagem dos resíduos, baseada na atividade antioxidante, e a caracterização fenólica dos extratos hidroalcoólicos obtidos dos resíduos agroindustriais. De acordo com os resultados de atividade antioxidante, engaço de uva da variedade Chenin Blanc (EC) e semente de açaí (SA) foram os resíduos selecionados, os quais seguiram para as etapas de concentração e fracionamento bioguiado de sua(s) molécula(s) bioativa(s), as quais foram posteriormente identificadas por UHPLC-ESI-LTQ-MS. Extratos brutos e concentrados foram avaliados in vitro quanto à capacidade de desativação de espécies reativas de oxigênio (radicais peroxila, ânion superóxido e ácido hipocloroso) e então, aplicados em óleo de soja, emulsão e suspensão de lipossomos, a fim de se avaliar a efetividade desses extratos como antioxidante natural em matrizes lipídicas. Concentrações intermediárias de etanol (40-60%) e alta temperatura (96°C), exceto para semente de açaí (25°C), foram as condições ótimas para a extração de antioxidantes dos resíduos agroindustriais. Epicatequina, ácido gálico, catequina e procianidina B1 foram os compostos de maior ocorrência, quando avaliados pela técnica de HPLC-DAD. O EC apresentou a maior atividade antioxidante global e SA a maior atividade entre os resíduos de polpas de frutas, laranja e café. A concentração dos extratos brutos de EC e SA, pela resina Amberlite XAD®-2, produziu aumento significativo da atividade antioxidante. Além disso, extratos brutos e concentrados apresentaram atividade antiproliferativa e anti-inflamatória. Os extratos concentrados foram fracionados por meio de Sephadex LH-20, a partir da qual foi possível identificar quatro frações de maior bioatividade para o EC e três para o SA. Procianidina B1, catequina, epicatequina e resveratrol foram identificados no extrato concentrado e frações de EC. Dezoito procianidinas poliméricas, catequina, epicatequina foram os principais compostos identificados em SA, por meio de UHPLC-ESI-LTQ-MS. Resveratrol também foi encontrado em SA pela primeira vez. Quando avaliados em óleo de soja, EC e SA demonstraram atividade pro-oxidante. Contudo, elevada atividade antioxidante foi verificada quando essas amostras foram aplicadas em sistemas lipídicos coloidais, pois retardaram o consumo de oxigênio em uma emulsão óleo/água e o período de indução na produção de dienos conjugados em uma suspensão de lipossomos. Portanto, os resíduos agroindustriais EC e SA possuem potencial tecnológico de reaproveitamento industrial podendo ser considerados possíveis matérias-primas para a obtenção de extratos ricos em antioxidantes ou pela extração de antioxidantes naturais de uso pelas indústrias farmacêutica e/ou de alimentos.

Application of central composite rotatable design to modelling the effect of some operating variables on the performance of the three-product cyclone

The central composite rotatable design (CCRD) was used to design an experimental program to model the effects of inlet pressure, feed density, and length and diameter of the inner vortex finder on the operational performance of a 150-min three-product cyclone. The ranges of values of the variables used in the design were: inlet pressure: 80-130 kPa, feed density: 30 60%; length of IVF below the OVF: 50-585 mm; diameter of IVF: 35-50 mm. A total of 30 tests were conducted, which is 51 less; an that required for a three-level full factorial design. Because the model allows confident performance prediction by interpolation over the range of data in the database, it was used to construct response surface graphs to describe the effects of the variables on the performance of the three-product cyclone. To obtain a simple and yet a realistic model, it was refitted using only the variable terms that are significant at greater than or equal to 90% confidence level. Considering the selected operating variables, the resultant model is significant and predicts the experimental data well. (c) 2005 Elsevier B.V. All rights reserved.

DFIG machine design for maximizing power output based on surrogate optimization algorithm

This paper presents a surrogate-model-based optimization of a doubly-fed induction generator (DFIG) machine winding design for maximizing power yield. Based on site-specific wind profile data and the machine's previous operational performance, the DFIG's stator and rotor windings are optimized to match the maximum efficiency with operating conditions for rewinding purposes. The particle swarm optimization-based surrogate optimization techniques are used in conjunction with the finite element method to optimize the machine design utilizing the limited available information for the site-specific wind profile and generator operating conditions. A response surface method in the surrogate model is developed to formulate the design objectives and constraints. Besides, the machine tests and efficiency calculations follow IEEE standard 112-B. Numerical and experimental results validate the effectiveness of the proposed technologies.

Design Optimization of Submerged Jet Nozzles for Enhanced Mixing

The purpose of this thesis was to identify the optimal design parameters for a jet nozzle which obtains a local maximum shear stress while maximizing the average shear stress on the floor of a fluid filled system. This research examined how geometric parameters of a jet nozzle, such as the nozzle's angle, height, and orifice, influence the shear stress created on the bottom surface of a tank. Simulations were run using a Computational Fluid Dynamics (CFD) software package to determine shear stress values for a parameterized geometric domain including the jet nozzle. A response surface was created based on the shear stress values obtained from 112 simulated designs. A multi-objective optimization software utilized the response surface to generate designs with the best combination of parameters to achieve maximum shear stress and maximum average shear stress. The optimal configuration of parameters achieved larger shear stress values over a commercially available design.

Selective Laser Melting of the Eutectic Silver-Copper Alloy Ag 28 wt % Cu

The aim of this work was to perform a detailed investigation of the use of Selective Laser Melting (SLM) technology to process eutectic silver-copper alloy Ag 28 wt. % Cu (also called AgCu28). The processing occurred with a Realizer SLM 50 desktop machine. The powder analysis (SEM-topography, EDX, particle distribution) was reported as well as the absorption rates for the near-infrared (NIR) spectrum. Microscope imaging showed the surface topography of the manufactured parts. Furthermore, microsections were conducted for the analysis of porosity. The Design of Experiments approach used the response surface method in order to model the statistical relationship between laser power, spot distance and pulse time.