Cargando…

Evaluation of Chrysanthemi Indici Flos germplasms based on nine bioactive constituents and color parameters

Chrysanthemi Indici Flos (CIF) is the inflorescence of Chrysanthemum indicum L., which exists in various shades of yellow and has pharmacologically active constituents. It is widely used for medicinal purposes in China, Japan, and South Korea to treat inflammatory diseases. Its external color is usu...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jianling, Ye, Zi, Wei, Min, Deng, Changrong, Chi, Lianfeng, Xu, Lei, Han, Zhengzhou, Wei, Weifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121038/
https://www.ncbi.nlm.nih.gov/pubmed/37083577
http://dx.doi.org/10.1371/journal.pone.0283498
Descripción
Sumario:Chrysanthemi Indici Flos (CIF) is the inflorescence of Chrysanthemum indicum L., which exists in various shades of yellow and has pharmacologically active constituents. It is widely used for medicinal purposes in China, Japan, and South Korea to treat inflammatory diseases. Its external color is usually used to judge its internal quality in trade; however, the correlation between its color and chemical constituents is unknown. Here, we simultaneously determined five phenylpropanoids (neochlorogenic acid, chlorogenic acid, and isochlorogenic acids A, B, and C) and four flavonoids (linarin, luteolin, apigenin, and acacetin) of 70 CIF germplasms using a newly established UPLC method; furthermore, we measured their color parameters (L*, a*, and b*) using a spectrophotometer. Our results showed considerable variations in the bioactive constituent contents and color parameters of CIF. The content of the five phenylpropanoids and the relative correlation degree γ(i) of the nine constituents were positively correlated with color parameters, which could be rapidly predicted based on L* and/or b*. Moreover, we screened out a high-quality germplasm with a high linarin content and bright colors using the hierarchical clustering method. Our results provide comprehensive insight into CIF’s quality evaluation process, particularly the methods for procuring high-quality medicinal materials and breeding by color.