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A distinction of cow and buffalo ghee using principal component analysis of triglyceride composition
Author(s) -
Pathania Parul,
Sharma Vivek,
Rao Priyanka Singh,
Arora Sumit,
Panjagari Narender Raju
Publication year - 2021
Publication title -
international journal of dairy technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.061
H-Index - 53
eISSN - 1471-0307
pISSN - 1364-727X
DOI - 10.1111/1471-0307.12768
Subject(s) - principal component analysis , triglyceride , food science , composition (language) , cow milk , chemistry , zoology , mathematics , biology , biochemistry , cholesterol , statistics , linguistics , philosophy
Triglyceride (TG) profiling was explored to distinguish cow ghee from buffalo ghee to check their admixing. Cow and buffalo butter was clarified at 110, 130 and 150 °C to obtain ghee. Temperature of clarification did not show any significant effect on TG profile. Cow ghee showed maxima at TG C38 and C52. Buffalo ghee exhibited maxima at C38 and C50 unlike cow ghee. Cow ghee samples showed a higher TG content of C42 to C54, whereas buffalo ghee samples were associated with a greater content of C26 to C38. Principal component analysis (PCA) and hierarchical clustering showed two ghee types as distinct separate clusters.