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Chemometric Approach to Fatty Acid Profiles in Soybean Cultivars by Principal Component Analysis (PCA)

  • Shin, Eui-Cheol (Department of Food Science & Institute of Fusion Biotechnology, Gyeongnam National University of Science and Technology) ;
  • Hwang, Chung-Eun (Department of Food Science & Institute of Fusion Biotechnology, Gyeongnam National University of Science and Technology) ;
  • Lee, Byong-Won (Department of Functional Crop, National Institute of Crop Science (NICS), Rural Development Administration (RDA)) ;
  • Kim, Hyun-Tae (Department of Functional Crop, National Institute of Crop Science (NICS), Rural Development Administration (RDA)) ;
  • Ko, Jong-Min (Department of Functional Crop, National Institute of Crop Science (NICS), Rural Development Administration (RDA)) ;
  • Baek, In-Youl (Department of Functional Crop, National Institute of Crop Science (NICS), Rural Development Administration (RDA)) ;
  • Lee, Yang-Bong (Department of Food Science and Technology, Pukyong National University) ;
  • Choi, Jin-Sang (Department of Food Science & Institute of Fusion Biotechnology, Gyeongnam National University of Science and Technology) ;
  • Cho, Eun-Ju (Department of Food Science and Nutrition, Pusan National University) ;
  • Seo, Weon-Taek (Department of Food Science & Institute of Fusion Biotechnology, Gyeongnam National University of Science and Technology) ;
  • Cho, Kye-Man (Department of Food Science & Institute of Fusion Biotechnology, Gyeongnam National University of Science and Technology)
  • Received : 2012.07.09
  • Accepted : 2012.09.06
  • Published : 2012.09.30

Abstract

The purpose of this study was to investigate the fatty acid profiles in 18 soybean cultivars grown in Korea. A total of eleven fatty acids were identified in the sample set, which was comprised of myristic (C14:0), palmitic (C16:0), palmitoleic (C16:1, ${\omega}7$), stearic (C18:0), oleic (C18:1, ${\omega}9$), linoleic (C18:2, ${\omega}6$), linolenic (C18:3, ${\omega}3$), arachidic (C20:0), gondoic (C20:1, ${\omega}9$), behenic (C22:0), and lignoceric (C24:0) acids by gas-liquid chromatography with flame ionization detector (GC-FID). Based on their color, yellow-, black-, brown-, and green-colored cultivars were denoted. Correlation coefficients (r) between the nine major fatty acids identified (two trace fatty acids, myristic and palmitoleic, were not included in the study) were generated and revealed an inverse association between oleic and linoleic acids (r=-0.94, p<0.05), while stearic acid was positively correlated to arachidic acid (r=0.72, p<0.05). Principal component analysis (PCA) of the fatty acid data yielded four significant principal components (PCs; i.e., eigenvalues>1), which together account for 81.49% of the total variance in the data set; with PC1 contributing 28.16% of the total. Eigen analysis of the correlation matrix loadings of the four significant PCs revealed that PC1 was mainly contributed to by oleic, linoleic, and gondoic acids, PC2 by stearic, linolenic and arachidic acids, PC3 by behenic and lignoceric acids, and PC4 by palmitic acid. The score plots generated between PC1-PC2 and PC3-PC4 segregated soybean cultivars based on fatty acid composition.

Acknowledgement

Supported by : Rural Development Administration (RDA)

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