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미국산 전통품종과 유전자 재조합 땅콩품종의 지방산과 토코페롤의 상관관계Relationships between fatty acids and tocopherols of conventional and genetically modified peanut cultivars grown in the United States

Other Titles
Relationships between fatty acids and tocopherols of conventional and genetically modified peanut cultivars grown in the United States
Authors
Shin, E.-C.
Issue Date
Oct-2013
Publisher
한국식품영양과학회
Keywords
Fatty acids; High-oleic cultivar; Peanuts; Principal component analysis; Tocopherols
Citation
Journal of the Korean Society of Food Science and Nutrition, v.42, no.10, pp 1618 - 1628
Pages
11
Indexed
SCOPUS
KCI
Journal Title
Journal of the Korean Society of Food Science and Nutrition
Volume
42
Number
10
Start Page
1618
End Page
1628
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/21696
DOI
10.3746/jkfn.2013.42.10.1618
ISSN
1226-3311
2288-5978
Abstract
"Relationships between fatty acids and tocopherols in conventional and genetically modified peanut cultivars were studied by gas chromatography with flame ion detector and high performance liquid chromatography with fluorescence detection. Eight fatty acids and four tocopherol isomers in the sample set were identified and quantified. Oleic acid and linoleic acid are major fatty acids and the ratio of oleic and linoleic acids ranged from 1.11 to 16.26. Tocopherols contents were 6.76 to 12.24 for α-tocopherol (T), 0.08 to 0.39 for β-T, 5.28 to 15.02 for γ-T, and 0.17 to 1.17 mg/100 g for δ-T. Correlation coefficient (r) for fatty acids and tocopherols indicated a strong inverse relationship between oleic & linoleic acids (r=-0.97, P<0.05) and positive relationships between palmitic & linoleic acids (r=0.95, P<0.05) and γ-T & δ-T (r=0.83, P<0.05). Principal component analysis (PCA) of fatty acids and tocopherols gave four significant principal components (PCs, with eigenvalues>1), which together account for 85.49% of the total variance in the data set with PC1 and PC2 contributing 45.27% and 21.33% of the total variability, respectively. Eigen analysis of the correlation matrix loadings of the four significant PCs revealed that PC1 was mainly contributed by palmitic, oleic, linoleic, and gondoic acids, while PC2 was by behenic acid, β-T, and γ-T. The score plot generated by PC1-PC2 identified sample clusters in the two spatial planes based on the oleic and linoleic acids. The score plot PC3-PC4 didn't separate sample groups.
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Shin, Eui Cheol
농업생명과학대학 (식품공학부)
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