Coffee Science
URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3355
Navegar
7 resultados
Resultados da Pesquisa
Item Case study of modeling covariance between external factors and sensory perception of coffee(Universidade Federal de Lavras, 2023-08-18) Resende, Mariana; Borém, Flávio Meira; Cirillo, Marcelo ÂngeloAnalysis and inference of sensory perceptions in coffee beverages are complex due to numerous random causes intrinsic to productivity, preparation, and especially consumer and/or taster subjectivity. In this context, latent variables often composed of a combination of other observed variables are discarded from conventional analyses. Following this argument, this study aimed to propose a model of structural equations applied to a database, geographical indication of coffees in Serra da Mantiqueira, with a methodological contribution characterized by inclusion of a treatment effect, contemplated by different altitudes at which coffees were produced. From the methodology used, a covariance structure was estimated, and used in another statistical methodology to discriminate the effects. It is concluded that the proposed model proved to be advantageous for allowing the analysis of the relationship of latent variables, production and environmental variations, which are not considered in a sensorial analysis, and showed that, in fact, they influence the sensorial perception, for the coffees produced in the Serra da Mantiqueira region. The correlation structure generated from the covariance matrix adjusted by the model resulted in estimates that could be used in other statistical methodologies more appropriate to discriminate the effects, exemplifying the use of principal components.Item Unsupervised classification of specialty coffees in homogeneous sensory attributes through machine learning(Editora UFLA, 2020) Ossani, Paulo César; Rossoni, Diogo Francisco; Cirillo, Marcelo Ângelo; Borém, Flávio MeiraBrazil is the largest exporter of coffee beans, 29% world exports, 15% this volume in specialty coffees. Thereby researches are done, so that identify different segments in the market, in order to direct the end consumer to a better quality product. New technologies are explored to meet an increasing demand for high quality coffees. Therefore, in this article has an objective to propose the use of machine learning techniques combined with projection pursuit in the construction of unsupervised classification models, in a sensory acceptance experiment, applied to four groups of trained and untrained consumers, in four classes of specialty coffees in which they were evaluated sensory characteristics: aroma, body coffee, sweetness and general note. For evaluating classifier performance, in the data with reduced dimension, all instances were used, and considering four groupings, the models were adjusted. The results obtained from the groupings formed were compared with pre-established classes to confirm the model. Success and error rates were obtained, considering the rate of false positives and false negatives, sensitivity and classification methods accuracy. It was concluded that, machine learning use in data with reduced dimensions is feasible, as it allows unsupervised classification of specialty coffees, produced at different altitudes and processes, considering the heterogeneity among consumers involved in sensory analysis, and the high homogeneity of sensory attributes among the analyzed classes, obtaining good hit rates in some classifiers.Item Quality of natural and pulped coffee as a function of temperature changes during mechanical drying(Editora UFLA, 2018-10) Oliveira, Pedro Damasceno de; Biaggioni, Marco Antônio Martin; Borém, Flávio Meira; Isquierdo, Eder Pedroza; Damasceno, Mariana de Oliveira VazThis research evaluated the sensory quality of processed and dried coffee beans in different ways. Two types of processing were used: dry and wet, besides seven drying methods: drying in yard and mechanical drying with heated air at 50 oC until coffee reached 30% (w.b.) moisture content, followed by drying with air heated to 35 oC until reaching 11% (w.b.) moisture content; drying in fixed-layer dryers with heated air at 45 °C until coffee reached 30% moisture content, followed by drying with heated air at 35 °C until reaching 11% (w.b.) moisture content; and drying in fixed-layer dryers with heated air at 40 °C until coffee reached 30% (w.b.) moisture content, followed by drying with heated air at 35 °C until reaching 11% (w.b.) moisture content; drying in fixed-layer dryers with heated air at 35 °C until coffee reached 30% (w.b.) moisture content, followed by drying with heated air at 50 °C until reaching 11% (w.b.) moisture content; drying in fixed-layer dryers with heated air at 35 °C until coffee reached 30% (w.b.) moisture content, followed by drying with heated air at 45 °C until reaching 11% (w.b.) moisture content; drying in fixed-layer dryers with heated air at 35 °C until coffee reached 30% (w.b.) moisture content, followed by drying with heated air at 40 °C until reaching 11% (w.b.) moisture content. The mechanical drying system consisted of three fixed-layer dryers, allowing the control of temperature and drying flow. Coffee was tasted according to the evaluation system proposed by the Specialty Coffee Association of America (SCAA). Physicochemical composition and physiological quality of the beans were analyzed, involving: grease acidity, potassium leaching, electrical conductivity, color and germination. The results show that pulped coffee is more tolerant to drying than natural coffee, regardless of how it was dried.Item Profile of organic acids and bioactive compounds in the sensory quality discrimination of arabica coffee(Editora UFLA, 2018-04) Ribeiro, Diego Egídio; Borém, Flávio Meira; Nunes, Cleiton Antônio; Alves, Ana Paula de Carvalho; Santos, Claudia Mendes dos; Taveira, José Henrique da Silva; Dias, Laryanne Lopes de CarvalhoThis study was conducted to investigate the potential of organic acids and bioactive compounds present in rawbeans to differentiate the sensory quality of coffee from different genotypes and processing methods. During the 2010, 2011 and 2012 crop seasons, beverage quality was analyzed, as well as the profile of organic acids and bioactive compounds caffeine, trigonelline and chlorogenic acids (3,4 and 5-CQA) in raw coffee beans from genotypes Bourbon Amarelo and Acaiá. The samples were collected in commercial fields with altitudes ranging from 932 to 1391 m, in the municipality of Carmo de Minas, MG, Brazil. Two processing methods were adopted: dry process (natural) and wet process (mechanically pulped and demucilaged coffee). All harvest and post-harvest procedures were carried out according to the main technologies for the production of specialty coffees. The sensory analysis was performed using the methodology proposed by the Specialty Coffee Association of America (SCAA). Chemical analyses were performed by High performance liquid chromatography. Data were investigated using Principal Component Analysis (PCA). The variations in the contents of organic acids and bioactive compounds were due to the coffee processing method. For genotypes Bourbon Amarelo and Acaiá, the differences in the organic acid profile, associated with caffeine, trigonelline and chlorogenic acids (3,4 and 5-CQA), were essential to differentiate the quality of mechanically pulped and demucilaged coffee. No significant differences were observed in the sensory quality of natural coffee due to the analysis of organic acids and bioactive compoundsItem Sensory analysis and chemical composition of ‘bourbon’ coffees cultivated in different environments(Editora UFLA, 2018-01) Figueiredo, Luisa Pereira; Borém, Flávio Meira; Ribeiro, Fabiana Carmanini; Giomo, Gerson Silva; Malta, Marcelo Ribeiro; Taveira, José Henrique da SilvaGiven the growing participation and appreciation of specialty coffees in the international market, coupled to the intrinsic quality of cultivar Bourbon for the production of differentiated coffees and the environmental diversity of Brazil, this study was conducted, with the objective to evaluate how the interaction between ‘Bourbon’ genotypes and different environments affect the sensory quality of coffees, besides relating the chemical composition (trigoneline, 5-CQA and caffeine) of beans with their sensory profile. Four Arabica coffee genotypes were evaluated: one of them is widely grown in Brazil (Mundo Novo) and three belong to the group of cultivar Bourbon. The genotypes were evaluated in a field experiment, in Lavras, MG; Santo Antônio do Amparo, MG and São Sebastião da Grama, SP. Thelatter was the most promising environment for the production of specialty coffees. Genotypes Yellow Bourbon IAC J9 and Yellow Bourbon/SSP were the most suitable for the production of specialty coffees. Regardless of culture environment, the genotype Yellow Bourbon/CM is not suitable for the production of specialty coffees. Caffeine content enabled coffee differentiation regarding beverage quality. Coffees with superior quality have lower caffeine contents. The content of 5-CQAallowed to differentiate environments.Item Qualidade do café cereja desmucilado submetido ao parcelamento da secagem(Editora UFLA, 2011-01) Isquierdo, Eder Pedroza; Borém, Flávio Meira; Cirillo, Marcelo Ângelo; Oliveira, Pedro Damasceno de; Cardoso, Rennan Alves; Fortunato, Valquíria AparecidaA interrupção do processo de secagem do café (Coffea arabica L.) com elevados teores de água, e a conclusão da secagem após um determinado período de repouso, já é uma técnica comumente adotada pelos cafeicultores. Porém, são escassos os relatos científicos que recomendem essa técnica. Objetivou-se, no presente trabalho, avaliar os efeitos da secagem na qualidade do café. Após a pré-secagem em terreiro, o café foi secado mecanicamente até atingir os teores de água de 16%, 20% e 24% (bu); em seguida, o café permaneceu em repouso durante dois, seis e doze dias em caixas de madeira. Após cada período de repouso, a secagem foi completada até que o café atingisse o teor de água de 11% (bu). A testemunha constituiu-se na secagem contínua até 11% (bu). Para a caracterização da qualidade do café foram realizadas as análises de condutividade elétrica, lixiviação de potássio, açúcares totais, redutores e não redutores, coloração dos grãos beneficiados e análise sensorial. Verificou-se que os valores de condutividade elétrica e de lixiviação de potássio foram significativamente menores quando a secagem do grão foi interrompida com o teor de água de 24% independente do tempo de repouso, indicando que, para esse tratamento, os danos ao sistema de membranas foram menores em relação aos demais. Verificou-se também que, para as análises de açúcares totais, redutores e não redutores, análise de coloração dos grãos e análise sensorial não houve diferença significativa entre os tratamentos. Conclui-se que, para as condições desse experimento, não foram observadas alterações indesejáveis na qualidade do café cuja secagem foi interrompida com o teor de água de até 24% (bu) e que permaneceu em repouso por até 12 dias.Item Spatial distribution of coffees from Minas Gerais state and their relation with quality(Editora UFLA, 2010-09) Barbosa, Juliana Neves; Borém, Flávio Meira; Alves, Helena Maria Ramos; Volpato, Margarete Marin Lordelo; Vieira, Tatiana Grossi Chquiloff; Souza, Vanessa Cristina Oliveira deCoffee is the second most important agricultural exportation product in Brazil, constituting one of the main income sources of the Brazilian economy. The state of Minas Gerais is the country’s biggest coffee producer. Recently, coffees produced in the state have won national specialty coffee contests, which has increased their commercial value and established them in the market. Due to the necessity of more information on areas with potential for producing quality arabic coffees (Coffea arabica L.), the objective of this work was to relate the coffees entered in the Quality Contest-Coffees from Minas Gerais, in 2007 and 2008, with the environmental characteristics of the state’s districts. The samples were distributed in four stages, the first composed of all the coffees entered in the contest, and the last composed only of the pre-finalists. The samples were categorized into natural and CDs (pulped natural, demucilaged and demucilaged/pulped natural). The spatialization of the samples from both years was done using Kernel maps to visualize the intensity of sample concentrations in each stage of the contest. The results show that in the first stage the samples were well distributed, with medium, high and very high intensity focus. In the fourth stage, a high concentration in the Sul de Minas region was observed in both years for both coffee categories.