Rede de conservação on farm para fruteiras nativas da fitofisionomia floresta com araucária: levantamento de informações

Currently, the biodiversity is considered as a powerful food security strategy, ecological and economical for humanity. Brazil is one of the main centers of genetic diversity of native fruit in the world. However, little is known about most of these species. In southwestern Paraná region, this diversity can be found, however, due to human action to increase genetic erosion, it is losing genotypes with potential for use. Thus, the conservation of genetic resources is essential for reduction strategies for damage caused to the environment and the lack of tech-nical information to increase the use of them. This study aimed to obtain information for cre-ating on farm net conservation in four citties this region. This study was carried out in rural properties from Dois Vizinhos, Itapejara D’Oeste, Verê and São Jorge D'Oeste citties, Paraná State, Brazil. It was action plan was established with the rural communities through gathering information with agents considered key in the process, it seeking the greatest number of farm-ers who had their properties in the native fruits as pitanga, jabuticaba, uvaia, cereja-do-mato, guabiroba, guabiju, sete capote, goiaba serrana, araça amarelo e vermelho trees. Semi-structured questionnaire was applied, which concerned issues of presence, handling and use of Myrtaceae fruit trees on their properties and informed consent term. There was a survey of the number and native fruits present in each property. The characterization of each household in terms of diversity handled and used in native fruit was performed. It was realized the soil col-lect in 200 properties with the presence of at least some native fruit tree naturally occurring, in order to determine the preference of the species for the chemical characteristics of the soil. The four citties have native fruits trees in quantity and diversity for the creation of on farm net conservation, with farmers demonstrating knowledge of their role as guardians of this heritage of humanity.

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.