摘要
对中药材的鉴别进行了统计、分析,选用几种药材的中红外光谱数据,研究不同种类药材的特征和差异性,采用主成分分析和相关性统计分析,利用灰色关联度模型计算关联性,最小二乘法拟合模型,进一步选择吸光度数据进行点图分析,再与查出的道地药材种类、场地太阳光照度进行对比,鉴别药材的种类,得到了不同种类的特征和差异性,为简便、快速、准确鉴别出药材类别与产地奠定了基础。
The study does statistics and analysis of the identification of Chinese medicinal materials;selects infrared spectroscopy data of some kinds of medicinal materials;researches the characters and difference of different kinds of medicinal materials;adopts principal component analysis and correlation statistic analysis;calculates the relevance through grey correlation model;fits model through least squares;does point diagram through further selection of absorbance data;compares Daodiherbs types and sun site illumination;identifies the kinds of medicinal materials;and gets the characteristics and difference of different kinds,to lay solid foundation for convenient,rapid and accurate identification of medicinal material types and origin places.
作者
刘琴
Liu Qin(Yangjiang Polytechnic, Yangjiang 529500, China)
出处
《黑龙江科学》
2022年第14期25-27,共3页
Heilongjiang Science
基金
2021年度阳江职业技术学院“课程思政”教学教改专项项目“数学分析课程思政”(yz2021kcsz017)阶段成果。
关键词
中药材鉴别
灰色关联分析
主成分分析
最小二乘法
Identification of Chinese medicinal materials
Grey correlation analysis
Principal component analysis
Least square method
