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

被引:2
作者
Li, Jianling [1 ,2 ]
Ye, Zi [2 ]
Wei, Min [2 ]
Deng, Changrong [1 ]
Chi, Lianfeng [2 ]
Xu, Lei [2 ]
Han, Zhengzhou [2 ]
Wei, Weifeng [2 ,3 ]
机构
[1] Qinghai Univ, Qinghai Acad Agr & Forestry Sci, State Key Lab Plateau Ecol & Agr, Qinghai Plateau Tree Genet & Breeding Lab, Xining 810016, Peoples R China
[2] Shenzhen Tradit Chinese Med Mfg Innovat Ctr Co, Resources Sanjiu Med & Pharmaceut Co Ltd, China Resources Sanjiu Modern Chinese Med Pharmace, Shenzhen 518110, Peoples R China
[3] China Resources Sanjiu Luan Chinese Tradit Med Ind, Luan 237321, Peoples R China
来源
PLOS ONE | 2023年 / 18卷 / 04期
关键词
QUALITY EVALUATION;
D O I
10.1371/journal.pone.0283498
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 gamma(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.
引用
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页数:15
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