Categorization of Coconut Milk Products by Their Sensory Characteristics

Authors

  • Saowapark Wattanapahu Department of Product Development, Faculty of Agro-Industry, Kasetsart University, Bangkok 10900, Thailand.
  • Thongchai Suwonsichon Department of Product Development, Faculty of Agro-Industry, Kasetsart University, Bangkok 10900, Thailand.
  • Wannee Jirapakkul Department of Food Science and Technology, Faculty of Agro-Industry, Kasetsart University, Bangkok 10900, Thailand.
  • Sumaporn Kasermsumran Kasetsart Agricultural and Agro-Industry Product Improvement Institute, Kasetsart University, Bangkok 10900, Thailand.

Keywords:

coconut milk, tempering process, descriptive sensory analysis, principal component analysis, cluster analysis

Abstract

Coconut milk is extensively used as a major ingredient of savory foods and desserts in many countries. The sensory characteristics of coconut milk have a substantial effect on consumer acceptance. The objectives of this investigation were to develop a lexicon of coconut milk products produced by different tempering processes and to categorize coconut milk products based on their sensory properties. Twelve samples consisting of two unheated, four pasteurized, three UHT, one sterilized and two spray dried were collected and determined. Eight highly trained panelists described the sensory characteristics of the coconut milk samples. The results demonstrated that there were 17 attributes: smoothness, overall coconut milk odor, sweetness of coconut milk odor, freshness odor, coconut oil odor, cooked odor nutty odor, overall coconut milk fl avor, freshness fl avor, oily fl avor, cooked fl avor, sweet fl avor, nutty fl avor, viscosity, fat feel, dryness, lip and mouth feel. All 17 sensory attributes were signifi cantly different (P < 0.05) among coconut milk samples. The results of hierarchical cluster analysis (HCA) and principal component analysis (PCA) demonstrated that PCA reduced the 17 sensory attributes into two independent principal components (PCs), which accounted for 87.30% of the explained variance. These two PCs with HCA could classify the 12 samples into fi ve groups related to their tempering processes.

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Published

2012-12-31

How to Cite

Wattanapahu, Saowapark, Thongchai Suwonsichon, Wannee Jirapakkul, and Sumaporn Kasermsumran. 2012. “Categorization of Coconut Milk Products by Their Sensory Characteristics”. Agriculture and Natural Resources 46 (6). Bangkok, Thailand:944-54. https://li01.tci-thaijo.org/index.php/anres/article/view/243009.

Issue

Section

Research Article