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基于其黄酮类成分的[具体物质未给出]的化学表征及降血脂功能研究

Study on the Chemical Characterization and Hypolipidemic Function of Based on Its Flavonoid Components.

作者信息

Yang Leyi, Zhou Chang, Huang Rong, Cai Yuan, Liu Bin, Yu Mimi, Jiang Yanyan

机构信息

School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.

Beijing Institute for Drug Control, NMPA Key Laboratory for Quality Evaluation of Traditional Chinese Medicine (Traditional Chinese Patent Medicine), Beijing Key Laboratory of Analysis and Evaluation on Chinese Medicine, Beijing 102206, China.

出版信息

Molecules. 2024 Dec 8;29(23):5798. doi: 10.3390/molecules29235798.

DOI:10.3390/molecules29235798
PMID:39683955
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11643375/
Abstract

has great value and development prospects in hypolipidemic applications. In this study, we comprehensively screened out multi-index components relevant to the quality of based on the hypolipidemic function of the flavonoid fraction of (FFN) combined with chemical characterizations. Firstly, in vitro antioxidant and cell experiments evaluated the hypolipidemic function of the FFN. Secondly, the chemical compositions of were identified by UPLS-MS technology. Then, the multi-index flavonoid components (rutin, hyperoside, isoquercitrin, quercetin-3-O--D-glucuronide, astragalin, and quercetin) were determined using a quantitative fingerprint combined with multivariate statistical data analysis. Finally, the quality of was scientifically evaluated by multi-index quantitative analysis combined with multivariate statistical data analysis, which was used to study the relationship between the content of flavonoid components and the overall quality. The above-mentioned research lays a material foundation for improving the quality standards of , providing a basis for developing functional foods to improve dyslipidemia.

摘要

在降血脂应用方面具有巨大价值和发展前景。在本研究中,我们基于[具体植物名称]黄酮类组分(FFN)的降血脂功能并结合化学表征,全面筛选出与[具体植物名称]质量相关的多指标成分。首先,通过体外抗氧化和细胞实验评估了FFN的降血脂功能。其次,采用超高效液相色谱-质谱联用(UPLS-MS)技术鉴定了[具体植物名称]的化学成分。然后,运用定量指纹图谱结合多元统计数据分析确定了多指标黄酮类成分(芦丁、金丝桃苷、异槲皮苷、槲皮素-3-O-β-D-葡萄糖醛酸苷、紫云英苷和槲皮素)。最后,通过多指标定量分析结合多元统计数据分析对[具体植物名称]的质量进行了科学评价,用于研究黄酮类成分含量与整体质量之间的关系。上述研究为提高[具体植物名称]的质量标准奠定了物质基础,为开发改善血脂异常的功能性食品提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/7d6e81b15e37/molecules-29-05798-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/a03e2eb220c0/molecules-29-05798-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/772d8b39ba67/molecules-29-05798-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/8688783da435/molecules-29-05798-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/badc88ad6339/molecules-29-05798-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/b238de01ad06/molecules-29-05798-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/81ffc37d2eda/molecules-29-05798-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/626ae9c0d8f3/molecules-29-05798-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/d1e9e5c6101e/molecules-29-05798-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/7d6e81b15e37/molecules-29-05798-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/a03e2eb220c0/molecules-29-05798-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/772d8b39ba67/molecules-29-05798-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/8688783da435/molecules-29-05798-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/badc88ad6339/molecules-29-05798-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/b238de01ad06/molecules-29-05798-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/81ffc37d2eda/molecules-29-05798-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/626ae9c0d8f3/molecules-29-05798-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/d1e9e5c6101e/molecules-29-05798-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d90b/11643375/7d6e81b15e37/molecules-29-05798-g009.jpg

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