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中草药中黄酮类化合物的分离分析
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摘要
中草药中提取的黄酮类化合物对人类的肿瘤、衰老、心血管病等疾病的治疗和预防有重要的意义,并具有有良好的市场前景。黄酮类化合物是植物代谢过程中产生的一类重要天然有机化合物。特别是近30年来黄酮类化合物一直是国内外研究开发利用的热点,仍是寻找有开发应用前景的先导化合物和生物活性成分的源泉。
    本论文以甘草黄酮、葛根异黄酮和银杏黄酮甙为研究对象,对它们的提取方法进行了比较研究及实验优化,进一步对其提取干膏进行了分离分析。另外,还利用定量构谱关系(QSSR)和定量构效关系(QSAR)对黄酮类化合物的核磁共振波谱(13CNMR)进行模拟,并估计和预测其核磁共振的化学位移。并对黄酮类化合物作为酪氨酸抑制剂的pIC50进行了定量分子建模研究。其主要内容和研究结果简要叙述如下:
    1.微波辅助提取新工艺提取甘草黄酮、葛根黄酮和银杏黄酮甙。研究和发展了微波辅助提取新工艺和新方法提取甘草黄酮、葛根异黄酮和银杏黄酮甙,并进行了均匀设计、正交设计和中心组合设计实验优化,对实验结果进行了统计分析或直观分析,得到其最优条件下的提取率成倍高于常规的提取法,纯度也得到了大幅度提高,同时大大缩短了提取时间,说明该法显著节省了资源和能源。
    2.黄酮类化合物的结构表达及核磁共振碳谱模拟。提出以原子电性距离矢量(VAED)描述19种黄酮醇和21种黄酮中不同等价碳原子的化学微环境,结合碳原子类型,建立核磁共振碳谱(13C NMR)化学位移(CS)的定量构谱关系(QSSR)四参数线性模型, 对于19种黄酮醇285个碳原子其相关系数R=0.796,交互检验R=0.789;对于21种黄酮315个碳原子其相关系数R=0.884,交互检验R=0.880;黄酮醇和黄酮一起建模600个碳原子其相关系数R=0.831,交互检验R=0.828。并综合几种处理方法,找到一种较好的建模方法,作为首次有益的探讨,对黄酮和黄酮醇核磁共振碳谱建模效果尚好。
    3.黄酮类化合物作为P56lck蛋白质酪氨酸激酶抑制剂的定量构效关系(QSAR)的研究。提出分子电性距离矢量考察了104个黄酮类化合物分子结构的表征,利用多元线性回归技术,对其生物活性pIC50构建定量线性相关模型,其相关系数R= 0.726,交互检验RCV2=0.427。其结果与状态、拓扑、几何、静电和量化这5组共504种描述子的建模结果相比,结果虽不是最好,但还是比较好,说明我们实验室提出分子电性距离矢量有比较广的普适性。
Extraction off flavonoids from Chinese traditional and herbal drugs was of important significance to cure, treat and prevent tumour, senescence and cardiovascular diseases, which had fairly good market prospect at present. Flavonoids that are important and natural organic compounds were produced during plants metabolization, which has been the potential source of the search of lead biologically active compounds and has also been the emphasis of the research, development and ultilization at home and aboard in the recent 30 years.
    In this thesis, flavonoids were extracted from Glycyrrhiza , Pueraria lobata (Willd.) Ohwi and Ginkgo biloba L by several conventional extraction ways and microwave-assisted extraction(MAE) through experimental design and optimization and the flavonoid extracts were further separated and analyzed by chromatography and spectrophotometry. On the other hand, the chemical shift of carbon-13 nuclear magnetic resonance of flavonoids was estimated and predicted through moleculat modeling of quantitative structure-spectrum relationship (QSSR) by the novel atomic electronegative distance vector (AEDV); and molecular modeling for 104 flavonoid derivatives as p56lck protein tyrosine kinase (PTK) inhibitors were quantitatively performed by the new molecular electronegative distance vector (MEDV). The main contents and some conclusions are provided as follows:
    1.Glycyrrliza flavonoids, Pueraria lobata (Willd.) Ohwi flavonoids and Ginkgo biloba L flavonoids were extracted by the microwave technique through homogeous / uniform design, the orthogonal experimental design or central composite design. The results indicated that the extraction rate of MAE under the optimal condition obtained through the experiments design was remarkably higher than the one of traditional extraction, the extraction time of MAE was greatly shorten and the purity of flavonoids was obviously enhanced as well..
    2.Various chemical shifts of 13CNMR for different chemically equivalent carbon atoms in nineteen natural flavonols and twenty-one natural flavones were estimated and /or predicted by using the novel atomic electronegative distance vector (VAED) with 4 elements parameter: The sample numbers n, correlation coefficients R, standard deviation SD, F-statistic value F, regression quadratic sum and residual quadratic sum.being n= 285, R=0.796, SD=14.734, F=162.315, U=105705.359, Q=60999.156; n= 315, R=0.884,
    
    SD=12.381, F=369.114, U=169745.141, Q=47673.375; N= 600,R=0.831, SD=14.122, F=443.449, U=265310.563 and Q=118859.906, for 19 flavonols, 21 flavones, and all 40 flavonoids, respectively. Finally, cross validation with the leave-one-out (LOO) procedure was made by the QSSR equations for all carbon atoms, with the good results obtained. A relatively reliable correlation model has been developed by the atomic electronegative distance vector, as adjoin structural descriptors. The modeling results were fairly good, but this is preliminary approach to estimation and prediction of chemical shift of carbon-13 nuclear magnetic resonance spectroscopy in flavonoids.
    3.Quantitative structure-activity relationship (QSAR) studies on 104 flavonoid derivatives as the p56lck protein tyrosine kinase (PTK) inhibitors were performed, using the newly developed molecular electronegative distance vector(VMED). Multiple linear regression(MLR) and leave-one-out cross validation were applied to generate models to predict of biological activities for binding flavonoids to PTK. The result obtained was compared with modeling results of 504 descriptors that were divided into five groups: constitutional, topological, geometric, electrostatic and quantum-chemical, which was not the best but fairly good. It illustrated that the molecular electronegative distance vector(VMED) could be widely applied, especially.
引文
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