Descriptive sensory analysis is conducted using 8-12 panelists who are trained to detect and quantify appearance, flavor and texture attributes in dairy products. This type of evaluation can be very useful in identifying and tracking specific changes among samples. Data collected is statistically robust.
Qualitative descriptive profiling
Descriptive profiling involves generating a lexicon of attributes to fully describe a product. These attributes are used to produce a full sensory picture of the product which can be useful for marketing purposes or further testing (see quantitative descriptive analysis).
|Color||Hue of the product’s surface|
|Sheen||Shiny-ness of the product surface|
|Free Moisture||Amount of free water seen through packaging material|
|Surface Texture||Visual roughness of the product surface|
|Hand Firmness||Amount of force required to compress product using thumb and forefinger|
|Cohesiveness||Degree to which chewed mass holds together|
|Chewiness||Total amount of energy needed to break up the sample|
|Particle Size||Size of particles after set number of chews|
|Salt||Taste elicited by sodium chloride|
|Acid||Taste elicited by lactic acid|
|Bitter||Taste elicited by caffeine|
|Sweet||Taste elicited by sucrose|
|Buttery||Flavor associated with butter or diacetyl|
|Milky||Flavor associated with fresh whole milk (lactones)|
|Sour/Citrus||Flavor associated with citric acid|
|Fruity||Flavor associated with fruit, e.g. roasted pineapple|
Quantitative descriptive analysis
The CDR Sensory Group utilizes both the Quantitative Descriptive Analysis (QDA®) and Spectrum® methods for quantifying appearance, body/texture, aroma and flavor. Our panels employ 15-point scales while evaluating product attributes; 0 = absent, 15 = extreme. Attributes can be chosen by the client, by the panel, or a combination of both. All collected data is statistically analyzed to highlight significant differences between products. This information can help you to better understand subtle differences in products. Please see below for examples of data collected from quantitative descriptive analysis panels.
(Note: all data shown here are fabricated for demonstrative purposes, we will never share client data with outside parties)
|ATTRIBUTE||PRODUCT 1||PRODUCT 2||PRODUCT 3||PRODUCT 4|
Changes during shelf-life
Quantitative descriptive analysis can be employed to monitor sensorial changes in a product over time. This can be useful for understanding changes during shelf-life and also aid in determining shelf-life end point. Products are evaluated at periodic intervals and target attributes are assessed.