色谱

色谱 ›› 2014, Vol. 32 ›› Issue (6): 604-611.DOI: 10.3724/SP.J.1123.2014.01025

• 研究论文 • 上一篇    下一篇

基于液相色谱信息的西青果化学成分抑制α-葡萄糖苷酶活性数学模型的构建

王定颖1, 朱靖博1,2, 丁燕1,2, 寇自农2,3, 杨兰苹1   

  1. 1. 大连工业大学食品学院, 辽宁 大连 116034;
    2. 大连工业大学植物资源化学与应用研究所, 辽宁 大连 116034;
    3. 大连工业大学实验仪器中心, 辽宁 大连 116034
  • 收稿日期:2014-01-13 修回日期:2014-03-31 出版日期:2014-06-08 发布日期:2014-05-22
  • 通讯作者: 朱靖博
  • 基金资助:

    辽宁省高等学校重大科技平台项目（辽教发[2011]191号）.

Establishment of the mathematical model for the inhibition on α-glycosidase by chemical compositions from Terminalia chebula Retz. based on the liquid chromatographic information

WANG Dingying1, ZHU Jingbo1,2, DING Yan1,2, KOU Zinong2,3, YANG Lanping1   

  1. 1. School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China;
    2. Institute of Chemistry and Applications of Plant Resources, Dalian Polytechnic University, Dalian 116034, China;
    3. Instrumental Analysis Center, Dalian Polytechnic University, Dalian 116034, China
  • Received:2014-01-13 Revised:2014-03-31 Online:2014-06-08 Published:2014-05-22

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摘要：

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。

关键词: α-葡萄糖苷酶, 多元线性回归方程, 高效液相色谱, 活性, 数学模型, 西青果, 抑制, 逐步回归分析

Abstract:

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 constituents 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. Stepwise regression method was used to research the relationship between the peak areas (Vi, independent 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 (Vi, 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)+V4×(0.079±0.020)+V11×(0.074±0.028)+V36×(-0.117±0.053)+85.669±4.476, multiple correlation coefficient R=0.854, significance level (Sig. F change)=0.037. The steadiness of model was favorable with new digital information. The compounds corresponding to 18th, 29th, 36th, 4th, 11th and 7th 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 significant to the research and development of traditional Chinese medicine.

Key words: α-glycosidase, Terminalia chebula Retz, activity, high performance liquid chromatography (HPLC), inhibition, mathematical model, multiple linear regression equation, stepwise regression

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