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

Metabolic Discrimination of Mungbean (Vigna radiata L.) Sprout Depending on Growth Time from Multivariate Analysis of FT-IR Spectroscopy Data

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.