Desenvolvimento e aplicação de modelo de calibração multivariada para determinação de açúcares e ácidos orgânicos em bebidas comerciais utilizando espectroscopia no infravermelho

The routine analysis for quantization of organic acids and sugars are generally slow methods that involve the use and preparation of several reagents, require trained professional, the availability of special equipment and is expensive. In this context, it has been increasing investment in research whose purpose is the development of substitutive methods to reference, which are faster, cheap and simple, and infrared spectroscopy have been highlighted in this regard. The present study developed multivariate calibration models for the simultaneous and quantitative determination of ascorbic acid, citric, malic and tartaric and sugars sucrose, glucose and fructose, and soluble solids in juices and fruit nectars and classification models for ACP. We used methods of spectroscopy in the near infrared (Near Infrared, NIR) in association with the method regression of partial least squares (PLS). Were used 42 samples between juices and fruit nectars commercially available in local shops. For the construction of the models were performed with reference analysis using high-performance liquid chromatography (HPLC) and refractometry for the analysis of soluble solids. Subsequently, the acquisition of the spectra was done in triplicate, in the spectral range 12500 to 4000 cm-1. The best models were applied to the quantification of analytes in study on natural juices and juice samples produced in the Paraná Southwest Region. The juices used in the application of the models also underwent physical and chemical analysis. Validation of chromatographic methodology has shown satisfactory results, since the external calibration curve obtained R-square value (R2) above 0.98 and coefficient of variation (%CV) for intermediate precision and repeatability below 8.83%. Through the Principal Component Analysis (PCA) was possible to separate samples of juices into two major groups, grape and apple and tangerine and orange, while for nectars groups separated guava and grape, and pineapple and apple. Different validation methods, and pre-processes that were used separately and in combination, were obtained with multivariate calibration models with average forecast square error (RMSEP) and cross validation (RMSECV) errors below 1.33 and 1.53 g.100 mL-1, respectively and R2 above 0.771, except for malic acid. The physicochemical analysis enabled the characterization of drinks, including the pH working range (variation of 2.83 to 5.79) and acidity within the parameters Regulation for each flavor. Regression models have demonstrated the possibility of determining both ascorbic acids, citric, malic and tartaric with successfully, besides sucrose, glucose and fructose by means of only a spectrum, suggesting that the models are economically viable for quality control and product standardization in the fruit juice and nectars processing industry.

Ciências florestais e biológicas (CIFLORBIO)

This book is a final product of teachers initiative of the Federal University of Technology - Paraná, Brazil, to increase information about forestry and biological sciences, produced by researchers from different and valuable institutions of the country. It is organized in five chapters, and the first is concerned with nutrient cycling through litter in natural ecosystems in Brazil. The second text is about the negative effects on soil properties in areas of natural trails. The third is about the forest extraction as means of reducing social and environmental vulnerability. Also in the line of research on soil, the fourth chapter discusses the physical attributes in a forest plantation. Last but not least, the fifth paper presents geostatistics applied to the characterization of forests.

Araça amarelo: atividade antioxidante, composição nutricional e aplicação em barra de cereais

Brazil has a great diversity of native fruits, which are not always widely consumed, being sold only in certain regions, due to their difficulty of post-harvest conservation. One such fruit is yellow guava, interesting source of nutrients. To promote the consumption and use of this fruit to the consumer public in different regions of the country, this study evaluated the incorporation of yellow Ya-cy araçá in formulating a cereal bar. Therefore, fruits were evaluated for their chemical, physical and chemical characteristics and bioactive compounds in different stages of maturation yellow guava (green, mature and dried forms). The behavior of guava yellow front of to UV-C radiation was also evaluated. After these reviews, there was obtained yellow ripe guava flour after previous tests, was added to the base formulation cereal bar. For the experimental planning and development of the formulations was used factorial design 22 with a central point. The developed formulations were subjected to sensory evaluation using for treatment of multivariate data analysis (Principal Component Analysis- ACP). The preferred formulation in sensory evaluation was evaluated in their physical characteristics (texture), physical-chemical (moisture, ash, lipids, proteins, carbohydrates, dietary fiber and calorie), mineral content and fatty acid profile. The results indicated that the added yellow guava cereal bar developed in this study is one way to application and use of guava, increasing the consumption of fruit to different regions of the country, and can be considered a functional product, not only to contain the fruit in its composition, but also to present many beneficial nutrients that contribute to the health of consumers.

Avaliação dos parâmetros de insensibilização e os impactos na qualidade da carne de perus (Meleagris gallopavo)

Brazil is the third largest producer and exporter of turkey meat, especially in Paraná state, with the largest production volume. In worldwide the animal welfare is a prerequisite for food quality of animal origin, especially in Europe. The Regulation of European Community No 1099/2009 provides requirements for poultry stunning that associate with animal welfare as a means to minimize the pain and suffering from the slaughter. Improper application of callousness should produce low-quality meat, and significant industry losses. This Research aimed to evaluate the impacts on the quality of meat from turkeys, applying electrical stunning parameters established in the Regulation No 1099/2009 of the Council of 24 September 2009. Was applied an outline with 8 tests set equidistantly to frequency, and set parameters for current and voltage, and a control test. Were conducted qualitative assessments of hematoms and bruises / fractures in carcasses, hematoms, blood splashed and bleeding in turkey breast, and quantitative pH, color (L *), water holding capacity and shear force in turkey breast. The individual assessments showed no significant difference (p>0,05). In multivariate cluster analysis was the formation of two distinct groups: group 1 - 50 Hz to 200 Hz (low frequency) and group 2 - 633 Hz to 1500 Hz (high frequency), which showed significant difference (p= 0,016). In principal component analysis multivariate, the group 1 tend to have a higher incidence of bruising, blood splashed, bleeding and water holding capacity in breast turkeys, and bruises / fractures and hematoms on carcasses. The Group 2 tends to have a lower incidence of these parameters, and higher pH values, shear force and color (L *). Positive correlation was obtained for the parameters pH and shear force (r= 0.7506, p=0.0198); bleeding and splashed blood (r= 0.8811, p= 0.0017), and negative correlation to color (L*) and splashed blood on breast (r= -0.7889; p= 0.0115); breast hematoms and shear force (r= -0.7844; p= 0.0123). It has been observed that at lower frequencies stunning tends to have higher incidence of defects in the carcasses and turkey breast. The use of high frequencies in stunning, create smaller quantity of trimming, and an increase in turkey breast volume produced, with a financial gain of approximately R$250,000.00 / year. Moreover, there is no need increase the workers to do the trimming tasks and, therefore, higher financial results for companies. Therefore, we recommend the use of high frequencies in the stunning of turkeys.

Reator de leito estruturado com recirculação submetido à aeração intermitente no tratamento de esgoto sanitário

The release of nitrogen compounds in water bodies can result in many environmental problems, so treat wastewater, such as sewage in order to remove not only organic matter but also nitrogen has been studied a few decades. From the above, the objective of this study was to evaluate the performance of a structured bed reactor, continuous flow, with recirculation, in removing organic matter and nitrogen present in wastewater under different cycles of intermittent aeration (AI) and to evaluate the influence of these cycles in the development of nitrifying bacteria (Oxidizing Bacteria Ammonia - BOA and Bacteria Oxidizing Nitrite - BON) and denitrifying (DESN) adhered (Support Material - MS) and suspension (Effluent - EF and sludge - LD). The reactor used has usable volume of 9.4 L. As support materials (MS) polyurethane foam was used, cut and fixed in PVC rods. 3 were worked aeration phases (AE) and non-aeration (AN) at different stage: Stage 1 (4 h EA / AN 2H); Stage 2 (2H EA / AN 1 h) and Phase 3 (2H EA / AN 2 h). During all hydraulic detention time phases was kept at 16 h and the effluent recirculated at a rate of 3 times the inflow. Were analyzed: pH, total alkalinity, temperature, chemical oxygen demand (COD), Biochemical Oxygen Demand (BOD), nitrogen Kjeldhl Total (NKT), ammonia-N-N-NH4+, nitrito-N-NO2+andnitrato-NO3-. The concentration of BOA, BON and DESN was determined using the number More Provável.gSSV-1 (NMP.gSSV-1). In phase 1 the percentage removal NTK N-NH4+ and NT was 76±10%, 70±21% and 67±10% respectively. In Phase 2 80±15% of removel NKT, 86±15% of N-NH4+ e 68±9% of removel NT e na Fase 3 de 58±20%, 72±28% and 41±6% of NKT, N-NH4+ of NT, respectively. The denitrification efficiency in stage 3 was over 70%, indicating that occurred in the reactor the process of simultaneous nitrification and denitrification (NDS). DQOT the removal percentages were 88 ± 4% in Phase 1, 94 ± 7 in Phase 2 and 90± 11% in Phase 3. The multivariate ANOVA applied to NMP.gSSV-1, it indicated that there was significant (F: 20,2, p <0,01) between the analyzed concentration of organisms AI in different cycles, but the differences between NMP.gSSV-1 depends not only isolated factors but of which means, and phase groups being analysis. From the results it is concluded that the working system is efficient in terms of nitrogen removal and organic matter, and that the stage with the highest availability of Dissolved Oxygen (DO) and C/N ratio (Step 2), was the one obtained the lower concentrations of organic matter effluents and N-NH4+. Hinted that there was a significant difference between the concentration (NMP.100mL-1) of the analyzed organizations (BOA, BON and DESN), but this difference does not depend on factors alone but of which means (MS, EF or LD), stages (1, 2 or 3) and groups (BOA, BON and DESN) is being considered.

Espectroscopia no infravermelho e método quimiométrico para a pesquisa de antimicrobianos em leite da microrregião de Pato Branco - PR

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.