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Beverages
Acceptability For Sale
Agency Testing
Alcoholic Beverages
Analysis
Animated Sequences
Anova-Simultaneous Component Analysis (ASCA)
Aroma
Artificial Intelligence
B-Cluster Analysis
BSG-Enriched Biscuits
Balanced Incomplete Block (BIB)
Beer
Benchmarks
Beverages
Binary Taste Interactions
Biscuits
Bivariate
Bootstrap
Bread
Brettanomyces Metabolites
Brewer’s Spent Grain (BSG)
Calibration
Carbonation
Cereal
Chance Limit
Chance-Corrected Beta-Binomial
Check-All-That-Apply (CATA)
Cheese
Chemometrics
Choice Overload
Citric Acid
Cluster Analysis
Color Swatches
Comments
Confidence Ellipsoid
Confidence Regions
Consumer
Consumer Choice
Consumer Data Quality
Consumer Expectation
Consumer Perceived Difference
Consumer Relevance
Consumer Relevant Difference
Consumer Satisfaction
Consumer Testing
Correspondence Analysis
Cross-Modal Interactions
Crossdiff-Unfolding
Daily Testing
Dairy
Data Analysis
Deep Learning
Degree-Of-Difference
Descriptive Analysis
Difference from Control
Direct Scaling
Discriminability
Discriminal Distance
Discrimination Testing
Drivers and Inhibitors of Liking
Dual-Attribute Time Intensity (DATI)
Effect Size
Emotions
Equivalence
Exports
FCM (Feedback Calibration Method)
FDFC
Fish
Flash Profiling
Focus Groups
Food Choice Motivations
Free Choice Profiling
Gin
Graph Theory
Hedonic
Highest Density Region
Ideal Product
Implicit Association Test
Imputation
In-Store Interviews
Incomplete Block Segmentation
Independent Components Analysis (ICA)
Individual Differences
Instructions
Joint Approximate Diagonalization of Eigenmatrices (JADE)
Just-About-Right (JAR)
Kombucha
L1-Norm
L1-Norm Principal Component Analysis (L1-Norm PCA)
Less
Light-Struck
Liking
Machine Learning
Meat
Median of Absolute Deviations (MAD)
Meet-Or-Beat
Milk
Mobile Devices
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Multiple Factor Analysis (MFA)
Sensory and consumer research applied to liquid products, including water, juice, carbonated drinks, tea, coffee, and alcoholic beverages, addressing flavor, aroma, mouthfeel, and carbonation.
May 24, 2022
Temporal ranking for characterization and improved discrimination of protein beverages
April 1, 2016
Statistical evaluation of panel repeatability in Check-All-That-Apply questions
October 22, 2015
Comparison of TCATA and TDS for dynamic sensory characterization of food products
September 23, 2015
Sugar reduction in probiotic chocolate-flavored milk: Impact on dynamic sensory profile and liking
July 29, 2014
Temporal Check-All-That-Apply (TCATA): a novel temporal sensory method for characterizing products
September 11, 2012
Experimental consideration for the use of check-all-that-apply questions to describe the sensory properties of orange juices.
June 3, 2012
Sweet and powerful: A two-attribute time intensity study of fruit liqueur / Doux et puissant: Une étude de deux attribut de temps l'intensité de la liqueur de fruits
July 26, 2009
Do panellists donkey vote in sensory Choose-All-That-Apply questions?
July 26, 2009
Experimental consideration for the use of Check-All-That-Apply (CATA) questions to describe the sensory properties of orange juices