Coffee Science
URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3355
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21 resultados
Resultados da Pesquisa
Item Fermented natural coffee followed by pulping: Analysis of the initial sensory quality and after six months of storage(Universidade Federal de Lavras, 2023-09-01) Salvio, Luís Gustavo Amaral; Cirillo, Marcelo Ângelo; Borém, Flávio Meira; Alves, Ana Paula de Carvalho; Palumbo, Juliana Maria Campos; Santos, Cláudia Mendes dos; Haeberlin, Luana; Schwan, Rosane Freitas; Nakajima, Makoto; Sugino, RyosukeIn recent years, different methods of fermentation have emerged for coffee, with the intention of adding complexity to its flavor. To be able to clearly identify the information from sensory analysis, tools capable of detecting small differences are needed. One such tool is multiple factor analysis (MFA). Thus, the objective of this experiment was to evaluate the effects of fermentation time and storage on the quality of sensory attributes using MFA. The coffee (Coffea arabica L.) samples collected for the study were from the Serra da Mantiqueira region – Brazil. In the present study, two natural coffee fermentation methods were evaluated, one using natural coffee microbiota (NF) and the other using a starter culture (Y), along with different times of anaerobic fermentation (0, 24, 48, 72, and 96h), followed by the pulping of the samples without the use of water. Sensory analysis of fermented coffee samples was performed immediately after drying and after six months of storage in permeable packaging in a refrigerated environment. Thus, the experiment was conducted in an intirely randomized design with a 2 x 5 x 2 factorial scheme (2 fermentation treatments; 5 fermentation times; 2 storage times). The highest scores and the attributes described in higher quality coffees, such as sweetness, acidity, and aftertaste, were attributed to coffees fermented for 96 hours. Results indicated that inoculation of the yeast Saccharomyces cerevisiae CCMA 0543 was responsible for maintaining the sensory qualities of the coffee fermented for 96 hours after 6 months of storage.Item Evaluation of the behavior of coffee stored in cooled and natural environments(Universidade Federal de Lavras, 2023-01-11) Andrade, Ednilton Tavares de; Rezende, Renan Pereira; Borém, Flávio Meira; Rosa, Sttela Dellyzete Veiga Franco da; Rios, Paula de Almeida; Oliveira, Filipe da Silva deThe market value of coffee is strongly influenced by loss of quality, which makes storage one of the main steps in the entire production chain. The finite element method (FEM) and computational fluid dynamics (CFD) are numerical and computational techniques that facilitate the simulation of agricultural product storage systems. Computational modeling satisfactorily represents real experimentation, simplifies decision-making, and reduces costs. This study aimed to analyze mocha coffee storage for 6 months in a cooled environment with temperatures between 15 and 18 °C and in a natural environment. The water content, bulk density, specific heat, thermal conductivity, and thermal diffusivity were determined and colorimetry and sensory analysis were applied to compare initial and final samples of the product after storage. It was found that the water content and specific heat were the only properties that presented significant changes. Through sensory analysis, it was observed that the quality of the coffee was the same for both systems. A computational model was developed to simulate the heat transfer process during storage. The comparison of the simulation results with the experimental results for the temperature distribution in the grain mass showed overall mean relative errors of 2.34% for the natural environment and 5.74% for the cooled environment.Item Mathematical modeling of dehydration resistance of pericarp tissues and endosperm in fruits of arabic coffee(Editora UFLA, 2020) Dias, Camila de Almeida; Andrade, Ednilton Tavares de; Lemos, Isabella Àvila; Borém, Flávio Meira; Westerich, Diogo Nogueira; Silva, Ana Claudia Almeida daCoffee represents an important source of income for producers and for the Brazilian economy, being the second product in the country’s agricultural exports. Unlike other agricultural products, freshly harvested coffee has a high fruit water content, approximately 60% (dry base). It is fundamental to optimize the drying process for cost reduction and quality maintenance, making it necessary to understand the interdependence relation of the tissues of the pericarp and the coffee endosperm during the dehydration of the fruit. The objective of this work was to elaborate a drying model for the constituent parts of coffee fruits evaluating the resistance of each of the pericarp tissues and endosperm. The experiment was set up in a 4x6 factorial scheme (4 relative humidity of the drying air and natural, pulped natural coffee, pericarp tissues and endosperm: 1 - natural coffee and 2 – pulped natural coffee, 3 - exocarp + a portion of mesocarp, 4 - mesocarp, 5 - endocarp, 6 - endosperm]) in a completely randomized design with four replicates. The results were analyzed through analysis of variance and regression, using the statistical software STATISTICA 5.0®. The resistance to water outflow, regardless of the processing or the fruit part of the coffee, is greater when the coffee is dried with the lowest relative humidity. The natural coffee was the treatment that presented greater resistance, while the lower resistance was presented by the exocarp + a portion of mesocarp.Item Simulation of coffee fruit drying using computational fluid dynamics(Editora UFLA, 2018-10) Amaral, Rudney; Andrade, Ednilton Tavares de; Gomes, Francisco Carlos; Borém, Flávio Meira; Lemos, Isabela Avila; Dias, Camila de AlmeidaDrying is a fundamental step in post-harvest handling of coffee because moisture content at the end of drying affects several important aspects, such as sensory quality, storability, and color of the fruit coffee. Within this context, the aim of this study is to determine water distribution within the natural coffee fruit during and at the end of the drying process. For that purpose, simulations were made through finite elements using computational fluid dynamics. Experimental data on moisture content of coffee fruit in the “cherry” stage were collected during drying, which was carried out at a temperature of 40°C and relative humidity of 25% to 0.18 decimal l(dry basis – d.b.) to compare the results of the experiment with the results of the simulations. Ten mathematical models of the drying process were developed for the collected data. The two-term exponential model best fit the data. The results of the simulations in computational fluid dynamics were compared to the results from experimental drying, and a satisfactory fit was obtained. The effective diffusivity coefficient (D eff ) was developed for the model proposed, obtaining the value of 2.87 x 10 ‐11 m 2 s -1 . At the end of drying, the model exhibited 57.1% of the projection area of the coffee fruit with moisture content below 0.18 decimal (d.b.). Thus, the model can be used for other applications.Item Quality of natural coffee dried under different temperatures and drying rates(Editora UFLA, 2018-04) Borém, Flávio Meira; Isquierdo, Eder Pedroza; Alves, Guilherme Euripedes; Ribeiro, Diego Egídio; Siqueira, Valdiney Cambuy; Taveira, Jose Henrique da SilvaThe final quality of coffees depends on the preservation of the cell membranes of the coffee beans, which can be damaged during the drying. Thus, the aim of this study was to assess the immediate and latent effects of the air temperature and drying rate on the sensorial quality of natural coffees, as well as its relationship with the chemical e physiological characteristics of the coffee beans. Mature fruits of arabica coffee were harvested and sundried to moisture content of approximately 35% (wb) and then moved into a mechanical drier under different conditions of drying. This process involved the combination of three dry bulb temperatures – DBT (35°C, 40°C, and 45°C) and two dew point temperatures – DPT (2.6°C and 16.2°C). Thus, the relative humidity of the air used for drying was a dependent variable of DTB and DPT, and as consequences, different drying rates were achieved for each DBT. The increase in the drying rate for the temperatures 35°C and 40°C has a negative effect on the final quality of natural coffee beans. However, for the temperature of 45°C, the effects of the drying rate on the coffee beans are overlaid by the thermal damages that are caused at this level of heating. Higher sensory scores for coffee are linked to lower values of electrical conductivity and potassium leaching of the exudate of the coffee beans, as well as lower values of fatty acids. It is emphasized that while the temperature of 35o C is recommended for the production of specialty coffees the temperature of 45o C is not.Item Drying kinetics of processed natural coffee with high moisture content(Editora UFLA, 2017-07) Siqueira, Valdiney Cambuy; Borém, Flávio Meira; Alves, Guilherme Eurípedes; Isquierdo, Eder Pedroza; Pinto, Afonso Celso Ferreira; Ribeiro, Diego Egídio; Ribeiro, Fabiana CarmaniniThe present study proposes a new processing and drying method and evaluates the behavior of grains subjected to this process through the water reduction rate and the adjustment of different mathematical models. Mature beans were divided into three batches. The first batch was continuously dried at 40±1 °C. The second batch consisted of natural coffee dried to moisture contents of 0.56±0.02, 0.41±0.02, 0,28±0.02 and 0.20±0.02 decimal (dry basis, d.b.), followed by processing and continuous drying at 35±1 oC and 40±1 oC. For all parcels, the drying process was ended when the coffee beans reached the moisture content level of 0.12±0.05 (d.b.). The third batch corresponded to the continuous drying of hulled and demucilated coffee at 40±1 °C. The experimental data were adjusted to ten mathematical models used to represent the drying of agricultural products. The grain water reduction rate was also evaluated. We concluded that the water reduction rate was highest for the drying temperature of 40±1 °C, especially at higher moisture contents. The total drying time for processed coffee with high moisture content was significantly reduced compared with the total drying time of natural coffee. The Midilli model satisfactorily describes the drying kinetics of processed coffee.Item Estatística multivariada aplicada em dados de custos da fase de pós-colheita do café(Editora UFLA, 2017-04) Santos, Rafael Vargas Mesquita dos; Vieira, Henrique Duarte; Borém, Flávio Meira; Prado, Mariele Vilela BernardesA escolha do modo de processamento do café é decisiva na rentabilidade da atividade cafeeira, e dependerá de diversos fatores. Assim, em decorrência da existência de tantas variáveis é comum o produtor questionar a viabilidade de determinados tipos de processamentos. Desse modo, o objetivo deste trabalho foi realizar um estudo dos principais fatores influenciadores no custo da pós-colheita do café. Quarenta e seis fazendas das regiões do Cerrado, Matas de Minas e Sul de Minas Gerais responderam a um questionário elaborado no sentido de possibilitar esta análise. A aplicação das técnicas multivariadas de análise de agrupamento, análise de fatores e análise de componentes principais, possibilitou concluir que as fazendas com maiores custos simulados foram as que possuíam as maiores porcentagens de produção de café via úmida.Item Desenvolvimento de cenários utilizando um sistema de apoio à decisão para análise de custos da fase de pós-colheita do café(Editora UFLA, 2015-10) Santos, Rafael Vargas Mesquita dos; Vieira, Henrique Duarte; Borém, Flávio MeiraA escolha do modo de processamento do café é decisiva na rentabilidade da atividade cafeeira, e dependerá de diversos fatores. Assim, em decorrência da existência de tantas variáveis é comum o produtor questionar a viabilidade de determinados tipos de processamentos.Objetivou-se, neste trabalho, detalhar a proposta de processamentos alternativos mais rentáveis para duas fazendas. Quarenta e seis fazendas das regiões do Cerrado, Matas de Minas e Sul de Minas Gerais responderam a um questionário elaborado no sentido possibilitar esta análise. Ao empregar o sistema de apoio à decisão para o cálculo do custo da pós-colheita do café, ficou constatado que as 21 fazendas, com processamento original via seca, ganhariam entre R$ 26,5780 e R$ 35,9039 por saca de café produzido, caso optassem pelo processamento alternativo via úmida. Já as 25 fazendas com processamento original via úmida perderiam entre R$ 1,28291 e R$ 7,26029 por saca de café produzido, caso optassem pelo processamento alternativo via seca.Item Análise comparativa da infraestrutura de processamento utilizando um sistema de apoio à decisão para o cálculo de custos da fase de pós-colheita do café(Editora UFLA, 2014-10) Santos, Rafael Vargas Mesquita dos; Vieira, Henrique Duarte; Borém, Flávio Meira; Isquierdo, Eder PedrozaO dimensionamento da infraestrutura necessária para o processamento do café é decisivo na rentabilidade da atividade cafeeira, e dependerá de diversos fatores. Assim, em decorrência da existência de tantas variáveis é comum o produtor subestimar ou superestimar aspectos de infraestrutura. Objetivou-se,neste trabalho, analisar os aspectos de infraestrutura relacionados à área de terreiro e à capacidade dos secadores das fazendas, na fase de pós-colheita do café. Quarenta e seis fazendas das regiões do Cerrado, Matas de Minas e Sul de Minas Gerais responderam a um questionário elaborado no sentido de possibilitar essa análise. Ao empregar o sistema de apoio à decisão para o cálculo do custo da pós-colheita do café, ficou constatado que essas fazendas superestimam a área de terreiro e estimam corretamente a capacidade dos secadores.Item A decision support system to aid the calculation of the cost of the post-harvest processing of coffee(Editora UFLA, 2013-10) Santos, Rafael Vargas Mesquita dos; Vieira, Henrique Duarte; Borém, Flávio Meira; Isquierdo, Eder PedrozaVarious computer programs were developed to calculate the cost of the coffee harvest. However, few address the costs of coffee in its post-harvest stage. This study was aimed to develop a system for calculating the cost of the coffee post- harvest to facilitate decision making regarding the most cost-effective post-harvest processes. Thirty-four farmers in southern Minas Gerais state answered a questionnaire designed to validate this system. The use of a decision support system showed that the simulated costs in the post-harvest stage were not statistically different from the costs informed by the representatives of the selected farms.
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