This study investigated the applicability of a metabolomics approach based on ultra-performance liquid chromatography to quadrupole time-of-flight spectrometry (UPLC-QTOF/MS) combined with multivariate statistical analysis for the discrimination of gamma-irradiated soybeans. Domestically produced, non-irradiated organic soybeans were used as the control, while soybeans irradiated at absorbed doses of 1, 3, and 5 kGy were used as the experimental groups. A total of 51 metabolites were identified through UPLC-QTOF/MS analysis of soybean extracts. Partial least squares-discriminant analysis (PLS-DA) revealed that the metabolic profiles of non-irradiated and irradiated soybeans were significantly separated in both positive and negative ion modes (p<0.05). To identify the metabolites contributing to group discrimination, compounds satisfying both statistical significance (p<0.05) and variable importance in projection (VIP>0.5). Among these, histidine, fumaric acid, malonic acid, uric acid, adenosine, cis-aconitic acid, xanthine, dihydrodaidzein, genistein, kaempferol, and soyasaponin Be showed significant dose-dependent differences. They were therefore proposed as potential biomarkers for discrimination gamma-irradiated soybeans. These results indicate that UPLC-QTOF/MS-based metabolomic profiling combined with multivariate analysis is an effective analytical tool for the identification and authentication of gamma-irradiated soybeans.

Abstract
I. 서 론
II. 연구 내용 및 방법
    1. 실험재료 및 감마선 조사처리
    2. 총 페놀화합물 함량
    3. 대두의 항산화 활성 측정
    4. 대사체 분석
    4. 통계분석
III. 결과 및 고찰
    1. 조사처리된 대두의 총 페놀화합물 함량 및 항산화 활성변화
    2. 대두의 대사체 분석
    3. 조사처리 판별 후보 대사물질 함량 비교
IV. 요약 및 결론
감사의 글
Conflict of Interest
References

• 양혜정(한국식품연구원) | Hye Jeong Yang (Korea Food Research Institute)
• 김민정(한국식품연구원) | Min Jung Kim (Korea Food Research Institute) Corresponding author
• 박종흠(한국원자력연구원 첨단방사선연구소) | Jong-Heum Park (Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute)