2个中药品种常数及多种中药配对的精确分类鉴别
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山东省中医药科技发展计划项目(2013-157)


Accurate Identification of Varieties of Constants and Multiple Pairs Between 2 Chinese Medicine Species
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    摘要:

    目的:基于双指标信息理论方程-共有遗传与变异信息理论方程最大信息量状态,提出2个鉴别生物复杂体系中药的品种常数:共有峰率Pg=61%,Pg=70%作为中药品种的绝对定量鉴别标准。在双指标信息量变化相对误差±3%的范围内,可以确定Pg≥(61±3)%及Pg≥(70±3)%作为2个优化判别中药品种的定量理论标准。方法:基于提出的2个定量理论标准,结合最大有效样本数优化法对多个中药样本进行合理模式识别。测试并分析了4种42个中药复方桂附地黄丸、知柏地黄丸、金匮肾气丸、明目地黄丸样品原药粉末的红外指纹图谱,对4种不同复方的6个配对进行了鉴别验证。结果:5个中药复方配对遵从品种常数Pg=61%,1个复方配对桂附地黄丸、知柏地黄丸遵从品种常数Pg=70%,样品的正确识别率为94.2%,类的正确识别率100%。结论:该法提供了鉴别分类中药的科学的绝对定量标准。

    Abstract:

    The constants of 2 traditional Chinese medicine (TCM) herbs in the complex biological system were analyzed based on the maximum information states of Dual index information theory equation and common heredity and variation information theory.The common peak ratios of the 2 species constants were Pg=61% and Pg=70%,which respectively corresponding to symmetry and asymmetry variation states,were used as 2 absolute quantitative criteria to identify complex biology systems-TCM.Considered the influences of many other factors on components and experiment processes,the really theoretical identification standards should be established Pg≧(61±3)% and Pg≧(70±3)%,within the relative error±3% of information value around the maximum information states.Methods:The infrared (IR) fingerprint spectra (FPS) of their powder in 4 out of 42 compounds including Guifu Dihuang Pills,Jinkui Shenqi Pills,Mingmu Dihuang Pills,Zhibai Dihuang Pills were tested and analyzed.A total of 6 pairs of 4 different compounds were tested.Results:The result showed that 5 compounds followed the species constant Pg=61%,and 1 of them,the pair of Guifu Dihuang Pills and Zhibai Dihuang Pills,obeyed the species constant Pg=70%.The correct identification ratio of samples was 95.2%,and that of species was 100%.Conclusion:The 2 species constants provide the scientifically and absolutely quantitative standards for identifying and classifying traditional Chinese medicines.

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邹华彬.2个中药品种常数及多种中药配对的精确分类鉴别[J].世界中医药,2018,(12).

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  • 收稿日期:2018-03-08
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  • 在线发布日期: 2018-12-24
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