Biblioteca do Café
URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/1
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Item Association between the artificial aging test and the natural storage of coffee seeds(Associação Brasileira de Tecnologia de Sementes - ABRATES, 2018) Fantazzini, Tatiana Botelho; Rosa, Sttela Dellyzete Veiga Franco da; Pereira, Cristiane Carvalho; Pereira, Diego de Sousa; Cirillo, Marcelo Ângelo; Ossani, Paulo CésarThe accelerated aging test is recognized as an efficient method for evaluating the vigor of seed lots and for estimating their storage potential. Thus, this work aimed to evaluate the association between artificial aging and natural storage of coffee seeds, through the correlation factor analysis. Seeds of four cultivars of Coffea arabica L. (Catuaí Amarelo, Arara, Catiguá, and Mundo Novo) and one of Coffea canephora Pierre (Apoatã) were used. Part of the newly-harvested seeds were aged in a growth chamber under controlled temperature and relative humidity conditions (42 ºC and 100% RH) for periods of 0, 4, 6, 8, and 10 days. The other part of the seeds was stored in tri-wall paper packaging for a period of 2, 4, and 6 months in a non-climate-controlled environment. Artificial aging allows predictions on the storage potential of coffee seeds, although the artificial aging periods depend on the cultivars.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 specialty natural coffee stored in different packages in Brazil and abroad(Editora UFLA, 2019-10) Borém, Flavio Meira; Andrade, Fabrício Teixeira; Santos, Cláudia Mendes dos; Alves, Ana Paula de Carvalho; Matias, Gabriel Carvalho; Teixeira, Daniela Edel; Ossani, Paulo César; Cirillo, Marcelo ÂngeloA challenge in the packaging and export of specialty coffees is to avoid green coffee bean storage and transport conditions that negatively affect the sensory quality of the roasted beans. The present study evaluated green beans of specialty coffees in eight types of packaging stored in a warehouse in the municipality of Poços de Caldas, Minas Gerais State, Brazil, for 18 months (Brazilian phase). This coffees were also subjected to sea transport and subsequent storage at a specialty coffee import company (export phase) in the United States, where it remained stored for 14 months. Physical, chemical, and sensory analyses of the beans were performed in the Brazilian phase and export phase. Green coffee beans stored in high-barrier packages had the best conserved quality. Packages with little or no barrier were not adequate for packaging or exporting specialty coffees. Beans in high-barrier packaging maintained their quality for long periods, which are therefore recommended for specialty coffee storage and export.Item Qualidade de cafés especiais: uma avaliação sensorial feita com consumidores utilizando a técnica MFACT(Universidade Federal do Ceará, 2017-01) Ossani, Paulo César; Cirillo, Marcelo Ângelo; Borém, Flávio Meira; Ribeiro, Diego Egídio; Cortez, Ricardo MiguelA qualidade sensorial de cafés especiais, cujas características se relacionam com o meio geográfico é apreciada pelo setor produtivo e o mercado, no qual, uma relação comercial é pautada na livre escolha, por parte do consumidor e na agregação de valores e diferenciação de preços em função da qualidade do produto. Neste cenário, focar as tendências dos consumidores é primordial para que um café seja diferenciado em relação aos demais; para isso, novas metodologias de análise devem ser exploradas para que os resultados sejam dignos de contemplaram inúmeros fatores inerentes às particularidades de cada consumidor e/ou produto. Com esse propósito, o objetivo desse artigo é propor o uso da técnica de múltiplos fatores aplicada a tabelas de contingência (MFACT), em dados categorizados obtidos em um experimento sensorial realizado com diferentes grupos de consumidores com a finalidade de identificar similaridades entre quatro cafés especiais. Concluiu-se que o uso dessa técnica é viável, por permitir discriminar os cafés especiais produzidos em diferentes ambientes (altitudes) e processamentos, considerando a heterogeneidade entre os consumidores envolvidos na análise sensorial.