한빛사 논문
숙명여자대학교
Abstract
Jung Eun Leea, Jihyun Hwanga, Eunji Choia, Myoung-Jae Shinb, Hyang Sook Chunc, Sangdoo Ahnd, Byung Hee Kima,*
a Department of Food and Nutrition, Sookmyung Women’s University, Seoul 04310, Korea
b National Agrobiodiversity Center, Rural Development Administration, Jeonju 54874, Korea
c Department of Food Science & Technology, Chung-Ang University, Anseong17546, Korea
d Department of Chemistry, Chung-Ang University, Seoul 06974, Korea
*Corresponding author : Byung Hee Kim
Abstract
The aim of this study was to discriminate between Korean and Chinese perilla seeds by using inorganic elemental analysis data combined with orthogonal partial least squares-discriminant analysis (OPLS-DA). Inorganic element content data were obtained from 29 Korean and 11 Chinese perilla seed samples distributed in Korea. Using energy dispersive X-ray fluorescence spectroscopy, 11 species of inorganic elements were detected in the perilla seed samples and eight of them were quantified. The Rb content was selected as the variable to best discriminate between Korean and Chinese perilla seeds using an S-plot generated from OPLS-DA. An accurate range for the Rb content was determined using inductively coupled plasma-optical emission spectroscopy. The Rb content is remarkably higher in Chinese perilla seeds (8.7–19.0 mg/kg) than in Korean perilla seeds (0.0–7.6 mg/kg), thereby suggesting that Rb analysis may be an appropriate approach to discriminate Chinese perilla seeds from Korean perilla seeds.
Keywords : Perilla seeds; geographic origin; rubidium; EDXRF; ICP-OES; OLSA-DA
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