Quality Evaluation of Gentiana officinalis H.Smith. from Different Producing Areas of Gansu Province by Grey Incidence Degree Method
10.3969/j.issn.1005-5304.2017.03.017
- VernacularTitle:甘肃不同产地黄管秦艽药材质量灰色关联分析评价
- Author:
Jie WANG
;
Shunjuan ZHU
;
Qin FAN
;
Li YANG
;
Pengfei XIA
;
Yinquan WANG
;
Lei ZHAO
- Keywords:
Gentiana officinalis H.Smith.;
grey incidence degree method;
quality evaluation
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2017;24(3):69-74
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish the degree of gray incidence model of Gentiana officinalis H.Smith. from differenct producing areas of Gansu Province and conduct quality evaluation. Methods Ten samples of Gentiana officinalis H.Smith. from different producing areas in Gansu Province were collected and the gentiopicroside, total iridoid gycoside, extractives, total ash, acid-insoluble ash content of Gentiana officinalis H.Smith were tested. The quality evaluation of grey incidence model of Gentiana officinalis H.Smith. was established by grey incidence model. Results The relative correlation degrees of all evaluation items were in the range of 0.394–0.652. Among them, the relative correlation degree of samples from 6 producint areas were greater than 0.50, which had high quality evaluation. The relative correlation degrees of the rest samples from other producing areas were less than 0.50, which had low quality evaluation. The sample of Gentiana officinalis H.Smith. from Zhuoni County Liulin Township Observatory had the most highly correlated with the optimal reference sequence (0.652) and so the best in quality;The sample of Gentiana officinalis H.Smith. from Zhang County Sancha Town Langwang Ditch had the most lowly correlated with the optimal reference sequence (0.394) and so the worst in quality. Conclusion This method and quality evaluation model can be used for the quality evaluation for Gentiana officinalis H.Smith., which can provide acertain experimental basis for the development and utilization of new resources.
