1. 녹두순의 FT-IR 스펙트럼 데이터로부터 다변량통계분석을 이용한 생육시기별 대사체 함량 식별.
- Author
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박송이, 안영재, 서은지, 최은빈, 이미자, 이한결, 서우덕, 김유나, and 송승엽
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MUNG bean , *NUCLEIC acids , *PRINCIPAL components analysis , *SPROUTS , *AMINO acids - Abstract
In this study, we established a system to analyze and accurately distinguish changes in the metabolite content of mung bean sprouts at various growth stages. Specific regions of the FT-IR spectrum (1700–1500 cm-1, 1500–300 cm-1, and 1100–950 cm-1) reflected qualitative and quantitative changes in key metabolites, such as amino acids, proteins, nucleic acids, lipids, and sugars. These regions play crucial roles in assessing metabolic changes at different growth stages. The results of the PCA revealed that metabolite clusters were distinctly separated according to growth stage, with notable differences observed between days 7, 10, 14, and 17. This indicated significant differences in metabolite changes across growth stages. PLS-DA analysis also confirmed similar results, clearly distinguishing metabolite changes according to growth stage, thus providing valuable information for identifying growth stages. This technique can be an important tool in the selection and breeding of mung bean varieties and can contribute to the development of functional materials. Furthermore, it is expected to contribute significantly to enhancing mung bean productivity and research on functional substances. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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