93 resultados para NONMAGNETIC IMPURITIES
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Water is the raw material used most in the production of diverse pharmaceutical forms and, being a constituent of the formulation itself, is subject to a number of physico-chemical and microbiological specifications. In addition, it is indispensable for laboratory tests and the cleaning of equipment and apparatus. The aim of this study was to ascertain the degree of physicochemical and microbiological contamination of purified water used in compounding pharmacies in the city of São José do Rio Preto, SP, Brazil. Samples were taken as recommended in the USP Pharmacopeia, with careful aseptic technique, and sent immediately the to quality control laboratory. Physicochemical properties were analyzed, including appearance, pH, conductivity, residue after evaporation, ammonia, calcium, chloride, heavy metals, sulfate and oxidizable substances, and microbiological tests were performed: total aerobic microbial count and detection of total and thermotolerant coliforms and Pseudomonas aeruginosa. Results showed that some parameters did not conform to the standards, especially pH, conductivity, inorganic impurities, oxidizable substances and microbiological test data, in 10%, 17%, 10%, 14% and 20% of the analyzed samples, respectively, This points to the need for greater care in the production and/or storage of purified water in these pharmaceutical establishments.
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Comparative HPLC-UV and LC-MS/MS studies of impurity profiles of a reference sample (Xenical®, F. Hoffmann-La Roche Ltd., Switzerland) vs. generic (Lipiblock®, EMS-Sigma Pharma, a generic drug) were carried out with ethanol extracts of commercial samples. The generic formulation contained higher levels of common impurities as well as a considerable number of impurities not found in the reference product. The detected impurity profile of Lipiblock® revealed that it most likely is based on fermentation. Since the effect of the impurities is unknown, at this point fully synthetic Xenical® appears to offer a better safety margin than Lipiblock® which, however, compares quite well to other generic formulations.
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We report the structural and magnetic properties of Co2MnO 4, partially substituted by Bi at the octahedral site. Bismuth enhances ferromagnetism due to a decrease of the Co2+-Co2+ antiferromagnetic interactions and an increase of the Mn3+-Mn 4+ exchanges. Spurious phases (magnetic and/or nonmagnetic oxides) can easily form because of the large differences between the ionic radii of Bi3+ and Co3+, hiding or altering the intrinsic physical properties of the main BixCo2-xMnO4 phase. An easy way to eliminate the secondary phases is using acid reagents. Short-time etching of Bi0.1Co1.9MnO4 using nitric acid was successfully used, keeping most of the properties of the initial compound, with no alteration of the crystallographic structure. Final stoichiometry was respected (∼Bi0.08Co1.82MnO4), meaning that the material after etching definitely contains bismuth elements in its structure and the observed properties are intrinsic to the oxide spinel. Additional experiments were performed as a function of the synthesis conditions, showing that an optimal pH value of 7 allowed the best magnetic response of the non-doped material. © 2013 Elsevier B.V. All rights reserved.
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Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that may range from moderate to high. The problem has been addressed via computational image analysis, but only for a few species and images free of fecal impurities. In routine, fecal impurities are a real challenge for automatic image analysis. We have circumvented this problem by a method that can segment and classify, from bright field microscopy images with fecal impurities, the 15 most common species of protozoan cysts, helminth eggs, and larvae in Brazil. Our approach exploits ellipse matching and image foresting transform for image segmentation, multiple object descriptors and their optimum combination by genetic programming for object representation, and the optimum-path forest classifier for object recognition. The results indicate that our method is a promising approach toward the fully automation of the enteroparasitosis diagnosis. © 2012 IEEE.
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Pós-graduação em Ciência e Tecnologia de Materiais - FC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Química - IBILCE
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Pós-graduação em Química - IBILCE
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)