4 resultados para engenharia sanitária

em Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT)


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Considering the social and economic importance that the milk has, the objective of this study was to evaluate the incidence and quantifying antimicrobial residues in the food. The samples were collected in dairy industry of southwestern Paraná state and thus they were able to cover all ten municipalities in the region of Pato Branco. The work focused on the development of appropriate models for the identification and quantification of analytes: tetracycline, sulfamethazine, sulfadimethoxine, chloramphenicol and ampicillin, all antimicrobials with health interest. For the calibration procedure and validation of the models was used the Infrared Spectroscopy Fourier Transform associated with chemometric method based on Partial Least Squares regression (PLS - Partial Least Squares). To prepare a work solution antimicrobials, the five analytes of interest were used in increasing doses, namely tetracycline from 0 to 0.60 ppm, sulfamethazine 0 to 0.12 ppm, sulfadimethoxine 0 to 2.40 ppm chloramphenicol 0 1.20 ppm and ampicillin 0 to 1.80 ppm to perform the work with the interest in multiresidues analysis. The performance of the models constructed was evaluated through the figures of merit: mean square error of calibration and cross-validation, correlation coefficients and offset performance ratio. For the purposes of applicability in this work, it is considered that the models generated for Tetracycline, Sulfadimethoxine and Chloramphenicol were considered viable, with the greatest predictive power and efficiency, then were employed to evaluate the quality of raw milk from the region of Pato Branco . Among the analyzed samples by NIR, 70% were in conformity with sanitary legislation, and 5% of these samples had concentrations below the Maximum Residue permitted, and is also satisfactory. However 30% of the sample set showed unsatisfactory results when evaluating the contamination with antimicrobials residues, which is non conformity related to the presence of antimicrobial unauthorized use or concentrations above the permitted limits. With the development of this work can be said that laboratory tests in the food area, using infrared spectroscopy with multivariate calibration was also good, fast in analysis, reduced costs and with minimum generation of laboratory waste. Thus, the alternative method proposed meets the quality concerns and desired efficiency by industrial sectors and society in general.

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Two cheese formulations made from raw milk and endogenous yeasts with 30, 60 and 180 days of maturation in two dairy Paraná Southwest were studied to evaluate their quality through physical, physical-chemical, microbiological and sensorial characteristics, as one of the stages of development of a typical regional cheese. The production was accompanied from designing the flowchart processing, where the samples were collected to perform the analysis of proteins, lipids, moisture, ash, carbohydrates, total solids, fat in dry matter, calories; water activity, instrumental texture (hardness, adhesiveness, springiness, cohesiveness, resiliency and chewiness), instrumental color (CIE Lab); microbiological quality was assessed searching for total and thermotolerant coliforms, coagulase positive staphylococci and Salmonella spp.; the acceptance related to sensory characteristics of color, appearance, flavor, texture, taste and purchase intent was evaluated through the structured hedonic scale. This research contributed information relevant to the production process, such as the realization of the viability in freeze-drying lactic acid bacteria yeast isolated from milk in the Southwestern Mesoregion of Parana and the results of the analysis of the cheese showed similarity between formulations, regarding the physical, physical-chemical characterization, moreover good microbiological quality, where the differences between samples of dairy products were not perceived by sensory panelists. Adjustments in standardization related to technological quality control is an extremely important factor for the success of dairy companies and small producers involved in the project and that they have the option of producing the Santo Giorno, a fine cheese, with the great advantage of adding features of region, with high standard of sanitary conditions and with great consumer acceptance of indicative.

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Currently, the decision analysis in production processes involves a level of detail, in which the problem is subdivided to analyze it in terms of different and conflicting points of view. The multi-criteria analysis has been an important tool that helps assertive decisions related to the production process. This process of analysis has been incorporated into various areas of production engineering, by applying multi-criteria methods in solving the problems of the productive sector. This research presents a statistical study on the use of multi-criteria methods in the areas of Production Engineering, where 935 papers were filtered from 20.663 publications in scientific journals, considering a level of the publication quality based on the impact factor published by the JCR between 2010 and 2015. In this work, the descriptive statistics is used to represent some information and statistical analysis on the volume of applications methods. Relevant results were found with respect to the "amount of advanced methods that are being applied and in which areas related to Production Engineering." This information may provide support to researchers when preparing a multi-criteria application, whereupon it will be possible to check in which issues and how often the other authors have used multi-criteria methods.