Clove (Syzygium aromaticum) is a highly valued medicinal plant native to Aisa. Widely used as a spice, renowned for its medicinal properties, particularly in Ayurveda and traditional Chinese medicine. In this study, clove bud extract (CBE) was prepared at different ethanol concentrations of 50%, 80%, and 90%, respectively. The antioxidant activity of the CBE was evaluated through DPPH, polyphenol, and reducing power assays, revealing its strong antioxidant potential, with 90% ethanol being the most effective extract. HPLC analysis identified eugenol (8.7 mg/g) as the major active compound, known to possess anti-inflammatory and antioxidant properties. Given the role of oxidative stress and inflammation in atopic dermatitis (AD), the therapeutic potential of CBE was explored using a 1-chloro-2, 4-dinitrobenzene (DNCB)-induced AD mouse model. Five-week-old BALB/c mice were induced with AD by topical application of DNCB. CBE was administered topically to the affected skin (back and ear) areas for 4 weeks. The treatment of CBE significantly reduced the severity of clinical dermatitis, decreased epidermal thickness, and lowered mast cell and eosinophil infiltration in skin tissue, as observed through hematoxylin eosin staining and toluidine blue staining. The results demonstrated CBE as a promising therapeutic agent for managing AD through its regulation of skin inflammation and oxidative stress, making it a potential candidate for future treatments of inflammatory skin disorders.
Full spectrum fitting is a powerful tool for estimating the stellar populations of galaxies, but the fitting results are often significantly influenced by internal dust attenuation. For understanding howthe choice of the internal dust correction method affects the detailed stellar populations estimated from the full spectrum fitting, we analyze the Sydney-Australian Astronomical Observatory Multiobject Integral field spectrograph (SAMI) galaxy survey data using the Penalized PiXel-Fitting (PPXF) package. Three choices are compared: (Choice-1) using the PPXF reddening option, (Choice-2) using the multiplicative Legendre polynomial, and (Choice-3) using none of them (no dust correction). In any case, the total mean stellar populations show reasonable mass-age and mass-metallicity relations (MTR and MZR), although the correlations appear to be strongest for Choice-1 (MTR) and Choice-2 (MZR). Whenwe compare the age-divided mean stellar populations, theMZRof young (<109.5 yr ≈ 3.2 Gyr) stellar components in Choice-2 is consistent with the gas-phase MZR, whereas those in the other two choices hardly are. On the other hand, the MTR of old (≥109.5 yr) stellar components in Choice-1 seems to be more reasonable than that in Choice-2, because the old stellar components in low-mass galaxies tend to be relatively younger than those in massive galaxies. Based on the results, we provide empirical guidelines for choosing the optimal options for dust correction.