甘肃不同产地黄管秦艽药材质量灰色关联分析评价

　　摘要：目的 建立甘肃不同产地黄管秦艽药材的灰色关联度模型，并进行质量评价。方法 以甘肃10个产地黄管秦艽为研究对象，测定龙胆苦苷、总环烯醚萜苷类、醇浸出物、总灰分、酸不溶性灰分含量，采用灰色关联度法构建黄管秦艽质量的灰色关联度评价模型。結果 10个不同产地黄管秦艽样品的相对关联度在0.394～0.652之间。其中相对关联度>0.50的样品有6个产地，其样品质量评价较高，其余产地药材质量评价较低（相对关联度<0.50）。卓尼县柳林乡观景台产地黄管秦艽的指标相对关联度最大（0.652），质量评价最优；漳县三岔镇狼王沟产地黄管秦艽的指标相对关联度最小（0.394），质量评价最差。结论 灰色关联度分析法及模型可应用于黄管秦艽药材的质量评价，本研究结果可为黄管秦艽的开发利用提供一定的试验基础。
　　关键词：黄管秦艽；灰色关联度法；质量评价
　　DOI：10.3969/j.issn.1005-5304.2017.03.017
　　中图分类号：R284.1 文献标识码：A 文章编号：1005-5304（2017）03-0069-06
　　Quality Evaluation of Gentiana officinalis H.Smith. from Different Producing Areas of Gansu Province by Grey Incidence Degree Method WANG Jie1， ZHU Shun-juan1， FAN Qin2， YANG Li1， XIA Peng-fei3， WANG Yin-quan4， ZHAO Lei1，2，5 （1. Gansu University of Chinese Medicine， Lanzhou 730000， China； 2. Key Laboratory for Traditional Chinese （Tibetan） Medicine Chemistry and Quality Control of Gansu University， Lanzhou 730000， China； 3. Key Laboratory of Pharmacology and Toxicology of TCM of Gansu Province， Lanzhou 730000， China； 4. Northwest Collaborative Innovation Center for Chinese Medicine， Lanzhou 730000， China； 5. Cultivation Base for Key Laboratory of Chinese Medicine Quality and Standard of Gansu Province， Lanzhou 730000， China）
　　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 a

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