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基于QSAR模型的食品谱效关系研究:以植物黄酮抗α-葡萄糖苷酶活性为例
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摘要
食品中含有的生理活性物质复杂多样,化学结构相近,含量低,分离分析困难,如何对食品中的生理活性物质进行简单、快速、有效地评价,值得深入研究。本研究以14个黄酮标准品为对象,随机复配得到10组混合样品,通过采集各样品高效液相指纹图谱中的色谱信息及抑制α-葡萄糖苷酶活性的数据,运用逐步回归法构建QSAR数学模型,筛选酶抑制活性显著的化合物。结果表明,该模型筛选出柚皮苷与染料木素对酶活性有一定的抑制作用,与模型验证结果相一致。该方法为食品中生理活性物质的快速筛选及功能性食品的研发与创新提供了新的方法及思路。
Food contains a variety of physiological active substances,which have similar chemical structures and low content,resulting in difficulty of the separation and analysis of them.It is worthy of further research on how to evaluate these physiological active substances simply,quickly and effectively.In this study,the chromatography-efficacy screened model based on HPLC chromatography was used for the study on 14 plant flavonoid standards which were randomized to ten mixed groups.A novel QSAR mathematic model based on stepwise regression method was developed,which gathered the chromatogram information of mixtures and the data of a-glucosidase inhibitory activity,to screen effective compounds which can inhibit the activity of a-glucosidase.The results showed that naringin and genistein had certain a-glucosidase inhibitory effects,which were consistent with model verification results.This study provided the new methods and ideas for rapid screening of food active components as well as the development and innovation of functional food.
引文

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