The prediction models among instrumental data, descriptive data, and hedonic data
There were several studies employ instrumental analytical data to predict consumer tests data in the past. Four different tea drinks were employed to collect the data for physical /chemical analyses, descriptive sensory analysis, and consumer hedonic test. The predicting powers of physical /chemical data to consumer data and descriptive data to consumer data were compared in this study.
Tea drinks with 4 different processes with significant different properties were employed as the samples. The physical/chemical analyses (including ionic, pH, turbidity, polyphenols), descriptive test (including 19 sensory descriptors), and consumer hedonic test (including 6 sensory attributes) were employ for collecting data on the 4 samples.
The data were analyzed with the multivariate analysis models, PLS and L-PLS, to check the model predicting power by the R2 as the index. The Unscrambler® X was employed for the multivariate analysis.
1.The R2 of the model of employing physical/chemical data predicting consumer test data was R2=0.27. This indicates that the predicting power is low.
2. The R2 of the model of employing descriptive test data predicting consumer test data was R2=0.54. This indicates that the predicting power is medium.
3. The R2 of the model of employing physical/chemical data and descriptive test data together predicting consumer test data was R2=0.33. This indicates that the predicting power is low.
4. The R2 of the model of employing physical/chemical data predicting descriptive test data was R2=0.99. This indicates that the predicting power is high.
1.This study partially prove the theory of [using physical/chemical data to predict descriptive test data and using descriptive test data to predict consumer test data] raised by international sensory scientists in the past.
2.PLS and L-PLS are powerful tools to distinguish consumers subgroups among samples.
3.This study also shows that well trained panelists are necessary for the descriptive test.