Quali-Sense

Qualify your sensory data  

In the food and beverage industry, little can be done without the benefits of a professional panel of human assessors. A sensory panel is the most effective, most natural tool to describe the complex properties of food that trigger our five senses when consuming a product. Yet, sensory profiling is only useful when the panel is well-trained and the evaluations are validated.


Quali-Sense is the best companion a panel leader can hope for. Using a set of statistical tests, Quali-Sense detects the personal strengths and weaknesses of each assessor in your panel. Discover the panelists’ sensitivity, reproducibility or cross-over issues for each attribute; check the global panel agreement. And use this information to further train and qualify your panel, such that you can keep on developing unique products.

 
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5 panelist performance tests

  • Assessor Sensitivity
  • Assessor Reproducibility
  • Assessor Agreement
  • Assessor Crossover
  • Eggshell Correlation


Plots for direct data and result visualization

  • Spider Plot
  • Box plot
  • Spotty plot
  • Eggshell plot



Color-coded result tables for easy interpretation


Fig: Table of results (p-values) from the reproducibility test


Auto Generated Summary Report

Data import/export from/to Microsoft Office Excel or ASCII file formats (*.txt or *.csv), directly readable in The UnscramblerŽ.

 

 


This is what makes Quali-Sense unique:
  • Detect panelists who are not replicating their assessments accurately.
  • Locate panelists who misunderstood the scale.
  • Evaluate the sensitivity performance of each panelist.
  • Map the panelists’ needs for retraining.
  • Single-out meaningful descriptors for the product.
  • Select reliable panelists and attributes.
  • Average assessments for further analysis in The Unscrambler®.

 



Note

Prior to the installation of Quali-Sense, the user is requested to install

.NET Framework 2.0


Related Resource

Assessing Performance of a Sensory Panel-Panelist Monitoring and Tracking

Using Sensory to Predict Potential Market Share Growth

Sensory and Cognitive Factors in Food Preference





 
 
Client Testimonials
Despite the availability of numerous other software packages The UnscramblerŽ has ...
Heinz W. Siesler - Professor of Physical Chemistry
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Spectroscopy | Sensory | Chemometrics | Multivariate Analysis | Design of Experiments