Search results for "milieu"

showing 10 items of 19813 documents

Comparison of odour sensory profiles performed by two independent trained panels following the same descriptive analysis procedures

2000

Odour sensory profiling of 28 associations of cheese ripening micro-organisms was performed by two panels of 10 assessors on two different sites. Sample preparation, training protocols and references, tasting procedures and scoring were similar in the two laboratories. Panel 2 used 10 attributes and panel 1 used these terms plus 4 extra descriptors. Analysis of variance and multivariate methods (canonical variate analysis, generalised procrustes analysis and STATIS) exhibited differences between assessors within a panel and between panels concerning the use of the scoring scale and the strength of product discrimination by attribute. Panel 1 was more sensitive to fruity notes and panel 2 to…

0303 health sciencesMultivariate statisticsNutrition and DieteticsDescriptive statistics030309 nutrition & dieteticsSensory system04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysisGeneralised procrustes analysis03 medical and health sciences0404 agricultural biotechnologyCanonical variate analysisStatistics[SDV.IDA]Life Sciences [q-bio]/Food engineeringEconometricsWine tastingAnalysis of varianceComputingMilieux_MISCELLANEOUSFood ScienceMathematics
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On the consistency of liking scores : insights from a study including 917 consumers from 10 to 80 years old

2004

Preference for 7 orange juices was recorded monadically. Three of the samples were replicates of the same juice (RJ). The 4 other samples were RJ slightly spiked with either sucrose, or citric acid, or quinine or an orange flavor. Each subject then performed a paired preference test composed of RJ and the modified juice whose score was the furthest from the RJ score. Finally, subjects were asked to choose one among 8 reasons why they preferred that sample. A number of individual statistics were computed in order to compare the consistency of liking scores within session, across ages and between genders. Women were slightly more consistent than men. However, no significant effect of age nor …

0303 health sciencesNutrition and Dietetics030309 nutrition & dietetics04 agricultural and veterinary sciencesOrange (colour)[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceOrange Flavor03 medical and health sciences0404 agricultural biotechnologyPreference test[SDV.IDA]Life Sciences [q-bio]/Food engineeringPsychologySocial psychologyComputingMilieux_MISCELLANEOUSFood ScienceDemography
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FLASH table and canonical mapping of potato varieties

2000

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dietetics04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysisCanonical analysis03 medical and health sciencesFlash (photography)0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringTable (database)Statistical analysisArithmeticComputingMilieux_MISCELLANEOUSFood ScienceMathematicsFood Quality and Preference
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Risk tables for discrimination tests

1993

Abstract Duo-trio and triangle test are often used in the food industry for the purpose of declaring two products non-distinguishable. In that situation, it is much more important to control the power of the test rather than the type 1 error risk. This paper makes available by e-mail a SAS ® macro, called BINRISKS, for computing type 1 and type 2 risks for any one-tailed binomial test and for any level of the percentage above chance to be detected. Using this macro, two sets of tables have been compiled. The first table includes for any total number of responses below 50, for any number of correct responses and for three levels of the percentage above chance to be detected, the correspondin…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsBinomial test04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceDiscrimination testingTest (assessment)03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringStatisticsEconometricsTable (database)MacroComputingMilieux_MISCELLANEOUSFood ScienceTriangle testMathematicsType I and type II errorsFood Quality and Preference
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Problems in time-intensity measurements. A case study-Bitterness evaluation in water solutions and in beers

1992

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsChemistryAnalytical chemistry04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceComputational physics03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringTime intensityComputingMilieux_MISCELLANEOUSFood Science
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Comments from Pascal Schlich on the Steinsholt's paper

1998

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsComputer scienceProgramming languageVARIANT04 agricultural and veterinary sciencesPascal (programming language)[SDV.IDA] Life Sciences [q-bio]/Food engineeringcomputer.software_genre040401 food science03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringcomputerComputingMilieux_MISCELLANEOUSFood Sciencecomputer.programming_language
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Dynamics of liking for flavoured crackers: Test of predictive value of a boredom test

1998

Abstract The principal aim of this study was to compare two experimental conditions for measuring the effect of repeated consumption on liking: a laboratory boredom test and a home use test. Another goal was to investigate the impact of perceived familiarity, appropriateness and complexity on the dynamics of liking. Two groups of consumers were recruited, one for each condition. Five variants of salty crackers, each with a different flavour, were tested. The laboratory condition did not show any difference in the dynamics of liking among the flavours. The home condition revealed a significant increase in liking for only one flavour. This increase could not be related to the level of complex…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsFlavour04 agricultural and veterinary sciencesBoredom[SDV.IDA] Life Sciences [q-bio]/Food engineeringHome use040401 food sciencePredictive valueTest (assessment)03 medical and health sciences0404 agricultural biotechnologyDynamics (music)[SDV.IDA]Life Sciences [q-bio]/Food engineeringmedicinemedicine.symptomPsychologyCORIANDRESocial psychologyComputingMilieux_MISCELLANEOUSFood Science
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Internal and external mapping of preferences for commercial lager beers : comparison of hedonic ratings by consumers blind versus with knowledge of b…

2001

Abstract The individual preferences of 170 consumers in six categories of age (20s, 30s, 40s) and gender (men, women) for 24 domestic, imported or specialty lager beers, tasted first blind and then with knowledge of brand and price, were investigated by preference mapping techniques. Internal preference mapping revealed differences in the preferences of consumers, with some consumers preferring domestic or ice beers, and others preferring specialty or imported beers. Hedonic ratings changed significantly from the blind to the informed tasting condition, particularly for consumers in their twenties, thereby documenting the significant role of non-sensory variables in the formulation of a hed…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsSCIENCE DU CONSOMMATEURJudgementProduct testingPreference mappingAdvertising04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysisPreference03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringWine tastingPsychologyConsumer behaviourComputingMilieux_MISCELLANEOUSFood Science
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What are the sensory differences among coffees? Multi-panel analysis of variance and FLASH analysis

1998

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsSensory system04 agricultural and veterinary sciencesVariance (accounting)[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysis03 medical and health sciencesFlash (photography)0404 agricultural biotechnologyPanel analysis[SDV.IDA]Life Sciences [q-bio]/Food engineeringStatisticsmedia_common.cataloged_instanceAnalysis of varianceEuropean unionComputingMilieux_MISCELLANEOUSFood ScienceDemographymedia_commonMathematicsFood Quality and Preference
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Uses of change-over designs and repeated measurements in sensory and consumer studies

1993

Abstract The paper illustrates two statistical methods, the design and analysis of sensory experiments taking into account the effects of serving order and previously assessed treatment and the analysis of experiments with time repeated measurements. Change-over design experiments balance both presentation order and carry-over effects. The proper analysis of variance allows the testing of these effects and the estimation of product means adjusted for carry-over effect. Repeated measurements occur when groups are being compared over time. Either a corrected split-plot or a multivariate analysis of variance (MANOVA) with measurements at different times forming the variable should be adopted t…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsSensory system04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysis03 medical and health sciencesVariable (computer science)0404 agricultural biotechnologyMultivariate analysis of varianceStatistics[SDV.IDA]Life Sciences [q-bio]/Food engineeringGroup effectMain effectAnalysis of variancePsychologyComputingMilieux_MISCELLANEOUSFood ScienceBalance (ability)
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