녹두순의 FT-IR 스펙트럼 데이터로부터 다변량통계분석을 이용한 생육시기별 대사체 함량 식별

• 영문명: Metabolic Discrimination of Mungbean (Vigna radiata L.) Sprout Depending on Growth Time from Multivariate Analysis of FT-IR Spectroscopy Data
• 발행기관: 한국육종학회
• 저자명: 박송이(Song Yie Park) 안영재(Yeong Jae Ah) 서은지(Eun Ji Suh) 최은빈(Eun Bin Choi) 이미자(Mi Ja Lee) 이한결(Han Gyeol Lee) 서우덕(Woo Duck Seo) 김유나(Yu-Na Kim) 송승엽(Seung-Yeob Song)
• 간행물 정보: 『한국육종학회지』Vol.56 No.3, 269~279쪽, 전체 11쪽
• 주제분류: 농수해양 > 기타농수해양
• 파일형태: PDF
• 발행일자: 2024.09.01

국문 초록

In this study, we established a system to analyze and accurately distinguishchanges in the metabolite content of mung bean sprouts at various growth stages. Specificregions of the FT-IR spectrum (1700-1500 cm-1, 1500-300 cm-1, and 1100-950 cm-1) reflectedqualitative and quantitative changes in key metabolites, such as amino acids, proteins,nucleic acids, lipids, and sugars. These regions play crucial roles in assessing metabolicchanges at different growth stages. The results of the PCA revealed that metaboliteclusters were distinctly separated according to growth stage, with notable differences observedbetween days 7, 10, 14, and 17. This indicated significant differences in metabolitechanges across growth stages. PLS-DA analysis also confirmed similar results, clearly distinguishingmetabolite changes according to growth stage, thus providing valuable informationfor identifying growth stages. This technique can be an important tool in the selectionand breeding of mung bean varieties and can contribute to the development offunctional materials. Furthermore, it is expected to contribute significantly to enhancingmung bean productivity and research on functional substances.

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키워드

Mung bean Fourier transform infrared spectral analysis principal component analysis partial least square discriminant analysis