H. C. Devraja’s research while affiliated with National Dairy Research Institute and other places

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Publications (1)


Quantitative descriptive analysis and principal component analysis for sensory characterization of Indian milk product cham-cham
  • Article

November 2015

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226 Reads

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43 Citations

Journal of Food Science and Technology -Mysore-

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H. C. Devraja

Promising development and expansion in the market of cham-cham, a traditional Indian dairy product is expected in the coming future with the organized production of this milk product by some large dairies. The objective of this study was to document the extent of variation in sensory properties of market samples of cham-cham collected from four different locations known for their excellence in cham-cham production and to find out the attributes that govern much of variation in sensory scores of this product using quantitative descriptive analysis (QDA) and principal component analysis (PCA). QDA revealed significant (p < 0.05) difference in sensory attributes of cham-cham among the market samples. PCA identified four significant principal components that accounted for 72.4 % of the variation in the sensory data. Factor scores of each of the four principal components which primarily correspond to sweetness/shape/dryness of interior, surface appearance/surface dryness, rancid and firmness attributes specify the location of each market sample along each of the axes in 3-D graphs. These findings demonstrate the utility of quantitative descriptive analysis for identifying and measuring attributes of cham-cham that contribute most to its sensory acceptability.

Citations (1)


... Current olfactory sensory analysis largely relies on human senses and machine perception [5]; however, both have many limitations. In human sensory evaluation, trained sensory panels usually perform quantitative descriptive analysis and preference analysis of food based on human perception [6,7]. However, since text or language descriptions are used as the basis for evaluation, discrepancies are inevitable, and ranking sensory evaluation results is often difficult due to the lack of unified evaluation criteria. ...

Reference:

Decoding Food Odor-Evoked EEG Signals: Odor Recognition and Brain Region Analysis Using MFANet
Quantitative descriptive analysis and principal component analysis for sensory characterization of Indian milk product cham-cham
  • Citing Article
  • November 2015

Journal of Food Science and Technology -Mysore-