Quantificação de contaminantes em aguardentes de cana/cachaças de alambique e de coluna

In the present study aimed to characterize and quantify four contaminants (ethyl carbamate, 2,3-butanedione, furfural and 5-hydroxymethylfurfural) present in alembic cachaça and industrial. Were collected forty-four samples of cachaça in the southern regions, the Midwest, southeast of Minas Gerais and São Paulo state, and subsequently subjected to physical, chemical and chromatographic analyzes. The physicochemical analyzes were performed according to the methodology described by the Ministry of Agriculture, Livestock and Supply (MAPA). The ethyl carbamate, 2,3-butanedione, furfuaral and 5 hydroxymethylfurfural were characterized and quantified by high-performance liquid chromatography (HPLC). The results of the ethyl carbamate analysis, it was found that both samples showed column cachaças outside the standards required by law, with the values 245.31 235.53 L-1 ug and none of the liquor samples alembic showed concentration greater than 210.0 ug L-1 , and the method is very sensitive to low limits of detection and quantification. In determining 2,3-butanedione, it was revealed that the column cachaças showed higher levels of contaminants when compared to cachaça alembic. In the quantification of furfural and 5-hydroxymethylfurfural was developed and validated analytical methods employed to high-performance liquid chromatography (HPLC) with DAD detector. Samples column cachaças showed higher values than the limit established by Brazilian legislation and ranged from 7.00 to 5.63 mg / 100 ml of anhydrous alcohol over the alembic cachaça.

Modelos duplo sigmoidais para o crescimento de frutos do cafeeiro

Coffee is one of the main products of Brazilian agriculture, the country is currently the largest producer and exporter. Knowing the growth pattern of a fruit can assist in the development of culture indicating for example, the times of increased fruit weight and its optimum harvest, essential to improve the management and quality of coffee. Some authors indicate that the growth curve of the coffee fruit has a double sigmoid shape. However, it consists of just a visual observation without exploring the use of regression models. The aims of this study were: i) determine if the growth pattern of the coffee fruit is really double sigmoidal; ii) to propose a new approach in weighted importance re-sampling to estimate the parameters of regression models and select the most suitable double sigmoidal model to describe the growth of coffee fruits; iii) to study the spatial distribution effect of the crop in the growth curve of coffee fruits. In the first article the aim was determine if the growth pattern of the coffee fruit is really double sigmoidal. The models double Gompertz and double Logistic showed significantly superior fit to models of simple sigmoid confirming that the standard of coffee fruits growth is really double sigmoidal. In the second article we propose to consider an approximation of the likelihood as the candidate distribution of the weighted importance resampling, aiming to facilitate the process of obtaining samples of marginal distributions of each parameter. This technique was effective since it provided parameters with practical interpretation and low computational effort, therefore, it can be used to estimate parameters of double sigmoidal growth curves. The nonlinear model double Logistic was the most appropriate to describe the growth curve of coffee fruits. In the third article aimed to verify the influence of different planting alignments and sun exposure faces in the fruits growth curve. A difference between the growth rates in the two stages of fruit development was identified, regardless the side. Although it has been proven differences in productivity and quality of coffee, there was no difference between the growth curves in the different planting alignments herein studied.

Determinação da densidade amostral ótima para a geração de mapas temáticos na cafeicultura de precisão

Among the crops commercially exploited in Brazil, the coffee has a great economic importance, especially in the states of Minas Gerais and Espirito Santo. In the search for higher yield and lower environmental impact, farmers and researchers seek to develop new technologies that result in greater efficiency in various production processes of the coffee. For this, the adoption of precision agriculture in the management of operations in coffee crops, called precision coffee, has shown results that justify its use, by identifying the spatial variability of several variables, allowing its localized management and in the proper intensity. Unlike conventional management that is based on the average of observations in an area, precision agriculture uses a more detailed sampling, based on a sampling grid, which allows to represent in greater detail the reality of farming. Many previous studies have identified the spatial variability of the production of coffee system variables, but without worrying about the quality of information obtained due to the sampling grid used as precision and accuracy. Given the above, the objective of this study was to evaluate the quality of four different sampling grids for different variables and three times, in order to identify the most appropriate grid for use in precision coffee. Also aimed to compare the results between the precision coffee and conventional, according to reference values.