Application of electromyography (EMG) in food texture evaluation of different Indian sweets
Author(s) -
Navdeep Singh Sodhi,
Balkaran Singh,
Bhavnita Dhillon,
Tanbeer Kaur
Publication year - 2019
Publication title -
asian journal of dairy and food research
Language(s) - English
Resource type - Journals
eISSN - 0976-0563
pISSN - 0971-4456
DOI - 10.18805/ajdfr.dr-1357
Subject(s) - principal component analysis , mastication , electromyography , reproducibility , masticatory force , statistics , mathematics , sensory system , texture (cosmology) , correlation , pattern recognition (psychology) , orthodontics , psychology , computer science , artificial intelligence , medicine , physical medicine and rehabilitation , cognitive psychology , geometry , image (mathematics)
The present study was undertaken to correlate surface electromyography variables acquired during chewing of different Indian sweets with the instrumental texture parameters and their sensory attributes. Firstly, a comparison of acquiredabsolute EMG variables with the relative EMG variables was conducted. The results revealed that the relative EMG mastication parameters can effectively distinguish different textured food products by eliminating the subject variance. Then, the twodifferent recordings of masticatory parameters in an EMG session for human subjects were correlated to investigate the reproducibility of chewing patterns. The correlation coefficients were found to be statistically significant (p less than 0.05)indicating highly reproducible chewing behaviour within a session for human subjects. Finally, acquired surface EMG variables were clustered into six representative variables using dendrograms. The principal component analysis conducted for theserepresentative variables could explain 76% of cumulative proportion of variance. The scores of first principal component correlated significantly with instrumental and sensory hardness and sensory stickiness, while scores of second componentcorrelated with sensory stickiness.
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