Mung bean (Vigna radiata) is a rich natural source of vitexin and isovitexin—flavonoids known for their potential anti-inflammatory properties. The aim of this study was to evaluate, through the use of RAW 264.7 macrophages, the anti-inflammatory effects of extracts from mung bean seeds containing vitexin and isovitexin. High-performance liquid chromatography (HPLC) was employed to quantify the levels of these compounds in various mung bean cultivars: “Jinhwang,” “Samhwang,” “Seonhwa,” and “Jangan,” as well as “Dahyeon,” and “Sanpo,” two of the most widely cultivated varieties in Korea. Cytotoxicity assays revealed no significant toxicity at concentrations of 25, 50, and 100 µg/mL, allowing further analysis at these levels. In nitric oxide (NO) inhibition assays, “Samhwang” (10.61 µM) and “Seonhwa” (9.7 µM) demonstrated the highest NO-suppressing activity at 50 µg/mL. Tumor necrosis factor-alpha (TNF-α) levels were significantly reduced by “Seonhwa” (83.6 pg/mL) and “Jangan” (72.3 pg/mL), with “Jangan” showing the strongest inhibitory effect. Interleukin-6 (IL-6) analysis revealed notable suppression in “Samhwang,” “Seonhwa,” and “Jangan” at 50 µg/mL, with “Samhwang” exhibiting the most potent effect (78.6 pg/mL). These findings suggest that the “Samhwang” cultivar, in particular, possesses significant anti-inflammatory potential and may serve as a valuable candidate for the development of natural anti-inflammatory agents.

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.