Consistent comparative statics for the food industries

Consistent conjectures are derived in an oligopoly model with homogeneous products and identical firms. The exercise uncovers two important findings. Absent entry, the monopolistic conjecture, is the unique consistent conjecture. With endogenous entry, no consistent conjecture exists. These results provide foundations for deriving consistentc omparatives taticsf or the food industries

A characterization of the food industries

Consistent conjectures applied to the food industries are investigated. This is a homogeneous-product, quantity-setting model with identical firms. When firm numbers are fixed, the consistent conjecture is monopolistic. When variable, consistency requires firm output to expand with exit and contract with entry, but no conjecture exists that is consistent with equilibrium.

Effects of processing methods on amaranth starch digestibility and predicted glycemic index

Amaranth has attracted a great deal of interest in recent decades due to its valuable nutritional, functional, and agricultural characteristics. Amaranth seeds can be cooked, popped, roasted, flaked, or extruded for consumption. This study compared the in vitro starch digestibility of processed amaranth seeds to that of white bread. Raw seeds yielded rapidly digestible starch content (RDS) of 30.7% db and predicted glycemic index (pGI) of 87.2, the lowest among the studied products. Cooked, extruded, and popped amaranth seeds had starch digestibility similar to that of white bread (92.4, 91.2, and 101.3, respectively), while flaked and roasted seeds generated a slightly increased glycemic response (106.0 and 105.8, respectively). Cooking and extrusion did not alter the RDS contents of the seeds. No significant differences were observed among popped, flaked, and roasted RDS contents (38.0%,46.3%, and 42.9%, respectively), which were all lower than RDS content of bread (51.1%). Amaranth seed is a high glycemic food most likely because of its small starch granule size, low resistant starch content (< 1%), and tendency to completely lose its crystalline and granular starch structure during those heat treatments.

Effect of processing on the antioxidant activity of amaranth grain

Effect of processing on the antioxidant activity of amaranth grain. Amaranth has attracted increasing interest over recent decades because of its nutritional, functional and agricultural characteristics. Amaranth grain can be cooked, popped, toasted, extruded or milled for consumption. This study investigated the effect of these processes on the antioxidant activity of amaranth grain. Total phenolic content and in vitro antioxidant activity were determined according to two methods: inhibition, of lipid oxidation using the beta-carotene/linoleic acid system and the antioxidant activity index using the Rancimat (R) apparatus. The processing reduced the mean total phenolics content in amaranth grain from 31.7 to 22.0 mg of gallic acid equivalent/g of dry residue. It was observed that the ethanol extract from toasted grain was the only one that presented a lower antioxidant activity index compared with the raw grain (1.3 versus 1.7). The extrusion, toasting and popping processes did not change the capacity to inhibit amaranth lipid oxidation (55%). However, cooking increased the inhibition of lipid oxidation (79%), perhaps because of the longer time at high temperatures in this process (100 degrees C/10 min). The most common methods for processing amaranth grain caused reductions in the total phenolics content, although the antioxidant activity of popped and extruded grain, evaluated by the two methods, was similar to that of the raw grain. Both raw and processed amaranth grain presents antioxidant potential. Polyphenols, anthocyanins, flavonoids, tocopherols, vitamin C levels and Maillard reaction products may be related to the antioxidant activity of this grain.

Increase of Cholesterol Oxidation and Decrease of PUFA as a Result of Thermal Processing and Storage in Eggs Enriched with n-3 Fatty Acids

In this work, cholesterol oxide formation and alteration of fatty acid composition were analyzed in n-3 enriched eggs under different storage periods and two temperatures. The eggs enriched with n-3 fatty acids were stored at 5 or 25 degrees C for 45 days and subsequently boiled or fried. For each treatment, 12 yolks were analyzed every 15 days including time zero. The concentrations of the cholesterol oxides 7-ketocholesterol, 7 beta-hydroxycholesterol, and 7 alpha-hydroxycholesterol increased during the storage period and were higher in fried eggs. Only the 7-ketocholesterol was affected by the storage temperature, and its concentration was highest in eggs stored at 25 degrees C. There was no significant difference in the contents of cholesterol and vitamin E at the different storage periods; however, the concentration of vitamin E decreased with thermal treatment. In addition, the n-3 polyunsaturated fatty acids, especially 18:3, 20:5, and 22:6, were reduced throughout the storage at 5 and 25 degrees C.

Beneficiamentos da cinza de casca de arroz residual com vistas à produção de cimento composto e/ou pozolânico

A cinza de casca de arroz é um resíduo agro-industrial decorrente do processo de queima da casca de arroz, sendo largamente encontrada no Rio Grande do Sul, pois, historicamente, este Estado é o maior produtor de arroz no Brasil, com cerca de 45% da produção nacional. Empregada como fonte de energia, a casca de arroz é queimada em diversas empresas; algumas, devido à sua natureza, incorporam a cinza ao produto, mas a maioria não encontra outro destino que não o descarte em forma de aterro, criando, assim, um problema ambiental de poluição do solo, do ar e de rios e córregos. No entanto, devido à presença de elevado percentual de sílica (SiO2) na sua constituição, a cinza de casca de arroz pode ter vários empregos. Na construção civil, pode ser empregada como pozolana, conforme vários estudos já vêm demonstrando. Porém, encontra restrições por motivos como sua cor escura, que confere aos cimentos, argamassas e concretos aos quais é adicionada, uma coloração também escura, e a falta de uniformidade apresentada em termos de características químicas e, principalmente, mineralógicas. A cor escura não é um problema de ordem técnica, mas estética e de aceitação no mercado. Já a composição mineralógica está associada à atividade pozolânica e a falta de uniformidade do material disponível implica na incerteza do grau de reatividade. Este trabalho teve o objetivo de verificar a viabilidade técnica do emprego de cinzas de casca de arroz residuais na confecção de cimentos Portland composto e/ou pozolânico, a partir de beneficiamentos das mesmas, que associam tratamentos físicos, químicos e/ou térmicos, os quais têm como finalidade reverter e/ou minimizar os aspectos negativos citados. Para tanto, foram empregadas três cinzas de casca de arroz, oriundas de diferentes processos de produção e com composições mineralógicas distintas. Após definidos os tratamentos a serem aplicados, através de seleção pelos critérios de cor e composição mineralógica, as cinzas tratadas foram avaliadas quanto à sua pozolanicidade, pelo Índice de Atividade Pozolânica (IAP) da NBR 5752 e também por um IAP alterado, proposto neste trabalho. A produção de cimentos com CCA beneficiada se deu a partir de um cimento base com substituição por CCA, em massa e em diferentes percentuais. Tais cimentos foram avaliados quanto à resistência à compressão, aos tempos de pega, à pozolanicidade e à expansibilidade a quente. A análise dos dados obtidos indica que os tratamentos propostos e/ou a associação deles resultam em beneficio no desempenho das cinzas, em pelo menos um dos vários aspectos considerados. A presente pesquisa permite concluir que as CCA residuais têm potencial para serem empregadas na produção de cimentos, tanto aquelas menos cristalinas, quanto as mais cristalinas. Para tanto, devem ser beneficiadas, sendo pelo menos submetidas a tratamento físico para redução de sua granulometria. Se outros objetivos forem pretendidos, como coloração clara, os tratamentos térmico ou químico podem ser empregados.

HACCP plan proposal for a typical Brazilian peanut processing company

Peanuts are likely to be infested by fungi with consequent contamination by aflatoxin in post-harvest industries. A hazard analysis critical control point (HACCP) plan is proposed for a typical Brazilian post-harvest industry from raw in-shell reception to the unpeeled peanuts transportation. Codex Alimentarius Commission guidelines were followed, with four critical control points (CCP) for aflatoxin being identified. The process steps with highest probability of aflatoxin occurrence (risk) are the in-shell reception, the dried in-shell storage, and the unpeeled kernel storage. During the storage steps there is a lack of control of air moisture and temperature. Therefore, there is no option but to keep rigid monitoring and control over each CCP, and detour lots with high aflatoxin levels to either oil or seed production. Attempts to correlate the aflatoxin levels with the rainfall showed an irregular trend of the toxin level. (c) 2008 Elsevier Ltd. All rights reserved.

Radionuclide concentrations in raw and purified phosphoric acids from Brazil and their processing wastes: implications for radiation exposures

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

An evaluation into the potential of biological processing for the removal of metals from sewage sludges

The use of sewage sludge in agricultural land as a means of sludge disposal and recycling has been shown to be economical and suitable because of the presence of nutrients such as nitrogen and phosphorus. However, municipal sludges often contain high quantities of toxic metals and other compounds that must be removed for its safe use in agricultural soils. The biological leaching of metals from sewage sludges has been shown to be a promising technique for metal detoxifying in such complex matrix. The process efficiency is dependent on several physico-chemical parameters, such as total solids concentration, metal forms, pH-ORP, and temperature. Scale-up of the process has not yet been defined and is still pursuing the correct operational design. Current research involving the bioleaching of metals from sewage sludge and its application to land, which affects soil physical properties, are presented and discussed.

Control of thermal damage in grinding by digital signal processing of raw acoustic emission

Grinding process is usually the last finishing process of a precision component in the manufacturing industries. This process is utilized for manufacturing parts of different materials, so it demands results such as low roughness, dimensional and shape error control, optimum tool-life, with minimum cost and time. Damages on the parts are very expensive since the previous processes and the grinding itself are useless when the part is damaged in this stage. This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding process. To accomplish such a goal, an experimental work was carried out for 15 runs in a surface grinding machine operating with an aluminum oxide grinding wheel and ABNT 1045 e VC131 steels. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate acquisition system at 2.5 MHz was used to collect the raw acoustic emission instead of root mean square value usually employed. In each test AE data was analyzed off-line, with results compared to inspection of each workpiece for burn and other metallurgical anomaly. A number of statistical signal processing tools have been evaluated.

JSEG-based image segmentation in computer vision for agricultural mobile robot navigation

This project aims to apply image processing techniques in computer vision featuring an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. To carry through this task, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems, together with Artificial Neural Networks (ANN) for pattern recognition. Therefore, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave platforms, along with the application of customized Back-propagation algorithm and statistical methods in a Simulink environment. Having the aforementioned procedures been done, it was practicable to classify and also characterize the HSV space color segments, not to mention allow the recognition of patterns in which reasonably accurate results were obtained.

A new generation of standards: implications for the Caribbean and Latin America

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ANN statistical image recognition method for computer vision in agricultural mobile robot navigation

The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. Thereby, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems, together with Artificial Neural Networks (ANN) for image recognition. Hence, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave computational platforms, along with the application of customized Back-propagation Multilayer Perceptron (MLP) algorithm and statistical methods as structured heuristics methods in a Simulink environment. Having the aforementioned procedures been done, it was practicable to classify and also characterize the HSV space color segments, not to mention allow the recognition of segmented images in which reasonably accurate results were obtained. © 2010 IEEE.