Perfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentos

Detalhes bibliográficos
Autor(a) principal: Simiqueli, Andréa Alves
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: por
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://locus.ufv.br/handle/123456789/2948
Resumo: Existing descriptive methodologies in literature present some disadvantages that hinder their application in the practical context of industry, such as the demand of a long execution time of the technique or acquisition of only qualitative results, or obtaining little reliable and reproducible results. In order to meet the demand for more accurate and reliable quantitative methods with shorter execution times, it was proposed to associate the Optimized Descriptive Profile methodology (ODP) with the training of panelists. In the present study, we evaluated the sensory profile of chocolate using four technical/descriptive panels: ODP (semi-trained panelists), ODP associated with two distinct training times (ODPTless and ODPTmore) and by means of the conventional CP methodology, Conventional Profile - CP (trained panelists). It was therefore possible to evaluate the effect of training, the training time and the evaluation protocol on the sensory profile of chocolates, the discriminative capacity and on the overall and individual performance of panelists from each sensory team. Additionally, a study was conducted to determine the number of judges for the OPDT technique, which was realized by means of computer simulation. In reviewing the results, it was found that the four descriptive sensory profiling techniques were similar, with RV coefficients greater than or equal to 0.93. However, the panels differed with regards to the mean scores attributed to the chocolate formulations in relation to the sensory attributes. Thus, it was found that the panel referring to the ODPTmore technique showed better discriminative capacity, with more accurate results both for the overall panel and for the individual judges. The form of using the unstructured scale by the panelists showed different behavior in the four techniques evaluated, where in the ODPTmore the scores were used more homogeneously in comparison with the other techniques. Thus, sensory characterization by the ODPTmore permitted more sensitive and accurate results in a shorter execution time compared to the CP. Furthermore, it was found that eight panelists are sufficient for the ODPT, where training provided a 50% reduction in the number of panelists compared to the original method (ODP).
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spelling Simiqueli, Andréa Alveshttp://lattes.cnpq.br/1734262023952842Silva, Rita de Cássia dos Santos Navarro dahttp://lattes.cnpq.br/6077797546174275Minim, Luis Antoniohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4789633Y8Minim, Valéria Paula Rodrigueshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4761407T6Vidigal, Márcia Cristina Teixeira Ribeirohttp://lattes.cnpq.br/0613707917803349Carneiro, Joel Camilo Souzahttp://lattes.cnpq.br/15441588413259222015-03-26T13:13:31Z2015-01-142015-03-26T13:13:31Z2014-07-24SIMIQUELI, Andréa Alves. Optimized Descriptive Profile associated to training: a new application for the food industry. 2014. 112 f. Dissertação (Mestrado em Ciência de Alimentos; Tecnologia de Alimentos; Engenharia de Alimentos) - Universidade Federal de Viçosa, Viçosa, 2014.http://locus.ufv.br/handle/123456789/2948Existing descriptive methodologies in literature present some disadvantages that hinder their application in the practical context of industry, such as the demand of a long execution time of the technique or acquisition of only qualitative results, or obtaining little reliable and reproducible results. In order to meet the demand for more accurate and reliable quantitative methods with shorter execution times, it was proposed to associate the Optimized Descriptive Profile methodology (ODP) with the training of panelists. In the present study, we evaluated the sensory profile of chocolate using four technical/descriptive panels: ODP (semi-trained panelists), ODP associated with two distinct training times (ODPTless and ODPTmore) and by means of the conventional CP methodology, Conventional Profile - CP (trained panelists). It was therefore possible to evaluate the effect of training, the training time and the evaluation protocol on the sensory profile of chocolates, the discriminative capacity and on the overall and individual performance of panelists from each sensory team. Additionally, a study was conducted to determine the number of judges for the OPDT technique, which was realized by means of computer simulation. In reviewing the results, it was found that the four descriptive sensory profiling techniques were similar, with RV coefficients greater than or equal to 0.93. However, the panels differed with regards to the mean scores attributed to the chocolate formulations in relation to the sensory attributes. Thus, it was found that the panel referring to the ODPTmore technique showed better discriminative capacity, with more accurate results both for the overall panel and for the individual judges. The form of using the unstructured scale by the panelists showed different behavior in the four techniques evaluated, where in the ODPTmore the scores were used more homogeneously in comparison with the other techniques. Thus, sensory characterization by the ODPTmore permitted more sensitive and accurate results in a shorter execution time compared to the CP. Furthermore, it was found that eight panelists are sufficient for the ODPT, where training provided a 50% reduction in the number of panelists compared to the original method (ODP).As metodologias descritivas existentes na literatura apresentam alguma desvantagem que dificulta a sua aplicação no contexto prático da indústria, como por exemplo, a demanda de um longo tempo de execução da técnica ou obtenção de resultados apenas qualitativos, ou ainda obtenção de resultados pouco confiáveis e reprodutíveis. Com o objetivo de suprir a demanda por métodos quantitativos, mais precisos e confiáveis, em um menor tempo de execução da prática, foi proposto associar a metodologia Perfil Descritivo Otimizado (PDO) ao treinamento dos julgadores. No presente estudo, avaliou-se o perfil sensorial de chocolate por meio de quatro técnicas descritivas: PDO (julgadores semi-treinados), PDO associado a dois tempos distintos de treinamento (PDOT menor e PDOTmaior) e por meio da metodologia convencional, Perfil Convencional PC (julgadores treinados). Assim foi possível avaliar o efeito do treinamento, do tempo de treinamento e do protocolo de avaliação no perfil sensorial dos chocolates, na capacidade discriminativa e no desempenho global e individual dos julgadores, de cada equipe sensorial. Adicionalmente, foi realizado um estudo para determinar o número necessário de julgadores para a técnica PDOT, o qual foi realizado por meio de simulação computacional. Na análise dos resultados, verificou-se que as quatro técnicas descritivas apresentaram perfis sensoriais dos chocolates similares entre si, com coeficiente RV igual ou superior a 0,93. Entretanto, os painéis diferiram nos escores médios atribuídos às formulações de chocolate, em relação aos atributos sensoriais. Sendo assim, constatou-se que o painel referente à técnica PDOT maior apresentou melhor capacidade discriminativa, maior precisão nos resultados, tanto para o painel global, como para os julgadores individualmente. A forma de utilização da escala não estruturada pelos julgadores apresentou comportamento diferenciado nas quatro técnicas avaliadas, sendo que no PDOT maior os escores foram utilizados de forma mais homogênea, em comparação com as demais técnicas. Desta forma, a caracterização sensorial por meio do PDOTmaior possibilitou resultados mais sensíveis e precisos, em um menor tempo de execução do teste sensorial, frente ao PC. Além disso, verificou-se que oito julgadores são suficientes para o PDOT, logo o treinamento proporcionou uma redução de 50 % no número de julgadores, comparando com o método original (PDO).Conselho Nacional de Desenvolvimento Científico e Tecnológicoapplication/pdfporUniversidade Federal de ViçosaMestrado em Ciência e Tecnologia de AlimentosUFVBRCiência de Alimentos; Tecnologia de Alimentos; Engenharia de AlimentosAlimentos - IndústriaAlimentos - Avaliação sensorialJulgador - TreinamentoPerfil Descritivo OtimizadoFood - IndustryFood - Sensory evaluationJudge - TrainingOptimized Profile DescriptionCNPQ::CIENCIAS AGRARIAS::CIENCIA E TECNOLOGIA DE ALIMENTOSPerfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentosOptimized Descriptive Profile associated to training: a new application for the food industryinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALtexto completo.pdfapplication/pdf1628281https://locus.ufv.br//bitstream/123456789/2948/1/texto%20completo.pdfb085f0fbcc3f5536ba9f9e388a7bf179MD51TEXTtexto completo.pdf.txttexto completo.pdf.txtExtracted texttext/plain226148https://locus.ufv.br//bitstream/123456789/2948/2/texto%20completo.pdf.txt3d4d420ada0c43756ab44daf581afbe3MD52THUMBNAILtexto completo.pdf.jpgtexto completo.pdf.jpgIM Thumbnailimage/jpeg3609https://locus.ufv.br//bitstream/123456789/2948/3/texto%20completo.pdf.jpg29d36f7f33c5128418b60e1fb5e5c3e5MD53123456789/29482016-04-08 23:19:43.033oai:locus.ufv.br:123456789/2948Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452016-04-09T02:19:43LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.por.fl_str_mv Perfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentos
dc.title.alternative.eng.fl_str_mv Optimized Descriptive Profile associated to training: a new application for the food industry
title Perfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentos
spellingShingle Perfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentos
Simiqueli, Andréa Alves
Alimentos - Indústria
Alimentos - Avaliação sensorial
Julgador - Treinamento
Perfil Descritivo Otimizado
Food - Industry
Food - Sensory evaluation
Judge - Training
Optimized Profile Description
CNPQ::CIENCIAS AGRARIAS::CIENCIA E TECNOLOGIA DE ALIMENTOS
title_short Perfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentos
title_full Perfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentos
title_fullStr Perfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentos
title_full_unstemmed Perfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentos
title_sort Perfil Descritivo Otimizado associado ao treinamento: uma nova aplicação para a indústria de alimentos
author Simiqueli, Andréa Alves
author_facet Simiqueli, Andréa Alves
author_role author
dc.contributor.authorLattes.por.fl_str_mv http://lattes.cnpq.br/1734262023952842
dc.contributor.author.fl_str_mv Simiqueli, Andréa Alves
dc.contributor.advisor-co1.fl_str_mv Silva, Rita de Cássia dos Santos Navarro da
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/6077797546174275
dc.contributor.advisor-co2.fl_str_mv Minim, Luis Antonio
dc.contributor.advisor-co2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4789633Y8
dc.contributor.advisor1.fl_str_mv Minim, Valéria Paula Rodrigues
dc.contributor.advisor1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4761407T6
dc.contributor.referee1.fl_str_mv Vidigal, Márcia Cristina Teixeira Ribeiro
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/0613707917803349
dc.contributor.referee2.fl_str_mv Carneiro, Joel Camilo Souza
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/1544158841325922
contributor_str_mv Silva, Rita de Cássia dos Santos Navarro da
Minim, Luis Antonio
Minim, Valéria Paula Rodrigues
Vidigal, Márcia Cristina Teixeira Ribeiro
Carneiro, Joel Camilo Souza
dc.subject.por.fl_str_mv Alimentos - Indústria
Alimentos - Avaliação sensorial
Julgador - Treinamento
Perfil Descritivo Otimizado
topic Alimentos - Indústria
Alimentos - Avaliação sensorial
Julgador - Treinamento
Perfil Descritivo Otimizado
Food - Industry
Food - Sensory evaluation
Judge - Training
Optimized Profile Description
CNPQ::CIENCIAS AGRARIAS::CIENCIA E TECNOLOGIA DE ALIMENTOS
dc.subject.eng.fl_str_mv Food - Industry
Food - Sensory evaluation
Judge - Training
Optimized Profile Description
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::CIENCIA E TECNOLOGIA DE ALIMENTOS
description Existing descriptive methodologies in literature present some disadvantages that hinder their application in the practical context of industry, such as the demand of a long execution time of the technique or acquisition of only qualitative results, or obtaining little reliable and reproducible results. In order to meet the demand for more accurate and reliable quantitative methods with shorter execution times, it was proposed to associate the Optimized Descriptive Profile methodology (ODP) with the training of panelists. In the present study, we evaluated the sensory profile of chocolate using four technical/descriptive panels: ODP (semi-trained panelists), ODP associated with two distinct training times (ODPTless and ODPTmore) and by means of the conventional CP methodology, Conventional Profile - CP (trained panelists). It was therefore possible to evaluate the effect of training, the training time and the evaluation protocol on the sensory profile of chocolates, the discriminative capacity and on the overall and individual performance of panelists from each sensory team. Additionally, a study was conducted to determine the number of judges for the OPDT technique, which was realized by means of computer simulation. In reviewing the results, it was found that the four descriptive sensory profiling techniques were similar, with RV coefficients greater than or equal to 0.93. However, the panels differed with regards to the mean scores attributed to the chocolate formulations in relation to the sensory attributes. Thus, it was found that the panel referring to the ODPTmore technique showed better discriminative capacity, with more accurate results both for the overall panel and for the individual judges. The form of using the unstructured scale by the panelists showed different behavior in the four techniques evaluated, where in the ODPTmore the scores were used more homogeneously in comparison with the other techniques. Thus, sensory characterization by the ODPTmore permitted more sensitive and accurate results in a shorter execution time compared to the CP. Furthermore, it was found that eight panelists are sufficient for the ODPT, where training provided a 50% reduction in the number of panelists compared to the original method (ODP).
publishDate 2014
dc.date.issued.fl_str_mv 2014-07-24
dc.date.accessioned.fl_str_mv 2015-03-26T13:13:31Z
dc.date.available.fl_str_mv 2015-01-14
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identifier_str_mv SIMIQUELI, Andréa Alves. Optimized Descriptive Profile associated to training: a new application for the food industry. 2014. 112 f. Dissertação (Mestrado em Ciência de Alimentos; Tecnologia de Alimentos; Engenharia de Alimentos) - Universidade Federal de Viçosa, Viçosa, 2014.
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