Suppr超能文献

半胱氨酰β-环糊精-黄芩苷包合物的表征及增强的抗氧化活性

Characterization and Enhanced Antioxidant Activity of the Cysteinyl β-Cyclodextrin-Baicalein Inclusion Complex.

作者信息

Kim Hwanhee, Yiluo Hu, Park Seyeon, Lee Jae Yung, Cho Eunae, Jung Seunho

机构信息

Department of Bioscience and Biotechnology, Microbial Carbohydrate Resource Bank (MCRB), Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea.

Department of Applied Chemistry, Dongduk Women's University, Seoul 136-714, Korea.

出版信息

Molecules. 2016 May 27;21(6):703. doi: 10.3390/molecules21060703.

Abstract

Baicalein is a type of flavonoid isolated from the roots of a medicinal plant, Scutellaria baicalensis. Although it has attracted considerable attention due to its antiviral, anti-tumor, and anti-inflammatory activities, its limited aqueous solubility inhibits the clinical application of this flavonoid. The present study aimed to prepare and characterize a host-guest complex in an effort to improve the solubility and antioxidant activity of baicalein. The host molecule is a macrocyclic β-cyclodextrin (β-CD) functionalized with cysteine for a synergetic effect. The structure of the synthesized cysteinyl β-CD was analyzed using nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry. The inclusion complex with baicalein was studied by UV-vis, NMR spectroscopy, scanning electron microscopy, and X-ray powder diffractometry. The formed cysteinyl β-CD/baicalein inclusion complex efficiently improved the solubility and antioxidant ability of baicalein. Therefore, we suggest that the present cysteinyl β-CD is a potential host molecule for inclusion complexation and for bioavailability augmentation.

摘要

黄芩素是从药用植物黄芩的根部分离出的一种黄酮类化合物。尽管它因其抗病毒、抗肿瘤和抗炎活性而备受关注,但其有限的水溶性限制了这种黄酮类化合物的临床应用。本研究旨在制备并表征一种主客体复合物,以提高黄芩素的溶解度和抗氧化活性。主体分子是一种用半胱氨酸功能化的大环β-环糊精(β-CD),以产生协同效应。使用核磁共振(NMR)光谱和质谱分析合成的半胱氨酰β-CD的结构。通过紫外可见光谱、NMR光谱、扫描电子显微镜和X射线粉末衍射法研究了与黄芩素形成的包合物。形成的半胱氨酰β-CD/黄芩素包合物有效地提高了黄芩素的溶解度和抗氧化能力。因此,我们认为目前的半胱氨酰β-CD是一种潜在的用于包合络合和提高生物利用度的主体分子。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验