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中药提取物是一个组成复杂、机理不明晰的混合物体系,其对靶标的作用是其中所有化合物的综合影响,如何表征和评价其生物活性值得深入研究。本文采用羟丙基葡聚糖凝胶色谱柱分离西青果乙醇提取物,得到29组成分连续变化的样品,采集样品的色谱信息(254 nm 波长下)与活性信息,运用逐步回归法建立成分的峰面积( Vi,自变量)与活性(以对酶的抑制率(W)表示,因变量)之间的数学方程,确定对活性影响显著的成分。结果表明,29组样品包含55个峰,这些峰对应成分的峰面积( Vi,i =1,2,…,55)与 W 之间存在数学关系:W = V7×(-0.034±0.013)+V18×(-0.155±0.051)+V29×(-0.142±0.028)+V4×(0.079±0.020)+V11×(0.074±0.028)+V36×(-0.117±0.053)+85.669±4.476,复相关系数 R =0.854,显著度=0.037,稳健性良好,对活性影响最显著的物质为第18、29、36、4、11和7号峰对应的化合物。该方法同样适用于不同中药资源的成分与多种不同活性等方面的研究,对于中药的研发具有重要意义。

The extracts from Chinese herbs are complex compounds with uncertain mechanism, which affects the target with all ingredients. Therefore,it is of great importance to evaluate the bioactivity of these extracts. In this study,29 samples which had continuous variation of constitu-ents were obtained from the alcohol extract of Terminalia chebula Retz. by a Sephadex LH-20 size exclusion chromatographic column. After detecting the chromatographic information of detection wavelength at 254 nm and the activity information of these samples,the mathematical relationship equation was established to determine the impact on the active components. Step-wise regression method was used to research the relationship between the peak areas(V i,inde-pendent variables)of the compositions in the samples and activities(according to the enzyme inhibition(W),dependent variables). The results showed that there were 55 chromatographic peaks in the samples and the mathematical relationship between the compositions of Terminalia chebula Retz. extract(V i ,i = 1,2,…,55)and activities was certain. The expression was:W =V7 ×(-0. 034±0. 013)+V18 ×(-0. 155±0. 051)+V29 ×( -0. 142±0. 028)+V 4 ×(0. 079±0. 020)+V 11 ×(0. 074± 0. 028)+V36 ×( -0. 117±0. 053)+85. 669±4. 476,multiple correlation coefficient R = 0. 854,signifi-cance level(Sig. F change)= 0. 037. The steadiness of model was favorable with new digital infor-mation. The compounds corresponding to 18 th ,29 th ,36 th ,4 th ,11 th and 7 th peaks were the main active compounds. The method can be also applied to the relationship between a wide variety of components of traditional Chinese medicine resources and different kinds of activities. It is signif-icant to the research and development of traditional Chinese medicine.

参考文献

[1] Cheung F.[J].NATURE,2011480(7378):S82.
[2] 马林;王渝芳;林志云.[A].,2005
[3] 齐炼文;周建良;郝海平.[J].中国药科大学学报,2010(03):195.
[4] 汪海林;邹汉法;孔亮.[J].色谱,199917(02):123.
[5] 牛晓雪;崔旭盛;苏贺.[J].色谱,201230(02):211.
[6] 赵路路;刘菲菲;彭缨.[J].色谱,201230(12):1271.
[7] 朱培曦;丁丽霞;何佳佳.[J].色谱,201230(10):1026.
[8] 米红;张文璋.实用现代统计分析方法及SPSS 应用[M].北京:当代中国出版社,2004
[9] 王惠文;张志慧.[J].管理科学学报,20069(04):27.
[10] 王力宾.多元统计分析:模型、案例及 SPSS 应用[M].北京:经济科学出版社,2010
[11] 付勇;汪立今;柴凤梅.[J].地学前缘,200916(01):373.
[12] 莫惠栋.农业试验统计[M].上海:上海科技出版社,1992
[13] Gu S L;Hui D F;Bian A H.[J].Journal of Biomathematics,199813:426.
[14] Liu J;Liu Y;Liu X.[J].American Journal of Hunan Genetics,200781(02):304.
[15] 刘桂宾.[J].天津农学院学报,200714(03):33.
[16] 刘晓宇;孟军.[J].中国农学通报,201228(07):223.
[17] 王继国 .[D].上海:上海大学,2004.
[18] 李姝臻;边洪荣;刘晓龙.[J].贵阳中医学院学报,201335(04):297.
[19] 孙会仙;李瑞林;赵尚清.[J].中国医院用药评价与分析,201111(01):94.
[20] Goto Y;Yamada K;Ohyama T.[J].Diabetes Research and Clinical Practice,199528(02):81.
[21] 朱运平;李秀婷;李里特.[J].中国食品学报,201111(04):154.
[22] 许芹永 .[D].大连:大连工业大学,2012.
[23] Nilubon J A;Megh R B;Jun K.[J].Food Chemistry,2007103:1319.
[24] Megh R B;Nilubon J A;Gao H.[J].Food Chemistry,2008106:247.
[25] Zhu Y P;Yin L J;Cheng Y Q.[J].Food Chemistry,2008109:737.
[26] Li D Q;Qian Z M;Li S P.[J].Journal of Agricultural and Food Chemistry,201058:6608.
[27] 肖云峰;刘小雷;刘爽.[J].北方药学,20118(11):19.
[28] 程东岩;王友联;刘永宏.[J].中国药师,201114(10):1521.
[29] Gao H;Huang Y N;Xu P Y.[J].Food Chemistry,2007105:628.
[30] 朱文佳;寇自农;张曦.[J].食品研究与开发,201233(08):171.
[31] 许芹永;朱靖博;宋青楠.[J].食品工业科技,2012(03):110.
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