世界中医药
文章摘要
引用本文:梁浩1,纪徐维晟1,2,王献瑞1,王耘1.基于中药拉曼谱图的寒热药性判别研究[J].世界中医药,2023,(01):.  
基于中药拉曼谱图的寒热药性判别研究
Discrimination of Cold and Heat Medicinal Properties Based on Raman Spectroscopy of TCM Drugs
投稿时间:2021-10-19  
DOI:10.3969/j.issn.1673-7202.2023.01.011
中文关键词:  中药  拉曼光谱  药性  寒热  随机森林  判别分析  特征筛选
English Keywords:TCM drugs  Raman spectroscopy  Medicinal properties  Cold-heat  Random forest  Discriminant analysis  Characteristics screening
基金项目:国家自然科学基金项目(81973495)——基于吸引子的中药有效成分群辨识与作用机理解析方法研究
作者单位
梁浩1,纪徐维晟1,2,王献瑞1,王耘1 1 北京中医药大学中药学院中药信息工程研究中心北京102488 2 北京中医药大学生命科学学院北京102488 
摘要点击次数: 610
全文下载次数: 0
中文摘要:
      从中药的整体性出发,开展中药拉曼谱图与其寒热药性的相关性分析,并对中药寒热药性进行统计判别研究。本研究选取寒凉性中药109种、温热性中药128种,共计237种中药;经样品前处理后,利用如海光电SEED 3000近红外拉曼光谱仪进行检测,得到每味中药的拉曼谱图;并对量化后的中药拉曼数据进行特征筛选和统计检验,筛选出与寒热药性密切相关的特征拉曼位移及其峰强,然后基于5种算法进行寒热药性的判别建模。经比较分析发现,相较于其他模型,随机森林(RF)模型展现出最佳的效果,对测试集判别的正确率高于90%,曲线下面积(AUC)和精确度大于0.90。本研究基于大样本量中药的分析,中药的拉曼数据与其寒热药性之间具有显著的相关性,可作为药性表征指标,结合RF算法进行寒热药性的判别分析。
English Summary:
      From the holistic view of traditional Chinese medicine(TCM),this study carried out a correlation analysis between the Raman spectra of TCM drugs and cold-heat medicinal properties and conducted a statistical discrimination analysis of the cold-heat medicinal properties of TCM drugs.A total of 237 TCM drugs were selected,including 109 cold and 128 heat ones.After sample pre-treatment,Raman spectra of TCM drugs were obtained by using SEED 3000 near-infrared Raman spectrometer(Oceanhood,China),and the characteristic Raman shifts and peak intensities closely related to the cold-heat medicinal properties were screened out by the characteristics screening and statistical test of the quantified Raman data of TCM drugs.The discriminant modeling of cold-heat medicinal properties was carried out based on five algorithms.Compared with other models,the random forest(RF) model showed the optimal results,with the correct rate of the test set higher than 90% and an AUC and precision greater than 0.90.Based on the analysis of a large sample size of TCM drugs,the findings of this study suggest that there is a significant correlation between the Raman data of TCM drugs and their cold-heat medicinal properties,which can be used as the characterization index of medicinal properties and facilitate the discriminant analysis of cold-heat medicinal properties combined with RF algorithm.
查看全文  查看/发表评论  下载PDF阅读器