中国中药杂志

2020, v.45(14) 3441-3451

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基于电子眼技术的中药川贝母真伪及规格的快速辨识研究
A rapid identification of authenticity and specifications of Chinese medicine Fritillariae Cirrhosae Bulbus based on E-eye technology

刘瑞新;郝小佳;张慧杰;张璐;桂新景;林兆洲;罗崇念;田亮玉;王艳丽;冯文豪;姚静;李学林;
LIU Rui-xin;HAO Xiao-jia;ZHANG Hui-jie;ZHANG Lu;GUI Xin-jing;LIN Zhao-zhou;LUO Chong-nian;TIAN Liang-yu;WANG Yan-li;FENG Wen-hao;YAO Jing;LI Xue-lin;Henan University of Chinese Medicine;Department of Pharmacy, the First Affiliated Hospital of Henan University of Chinese Medicine;Research Center for Modern Engineering for Clinical Application of Chinese Medicine Decoction Pieces in Henan Province;Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-cons

摘要(Abstract):

中药饮片质量关乎临床疗效和用药安全,保证中药饮片质量对中医药事业的发展起到极大的推进作用,现有的传统人工鉴别和现代仪器检测在准确率和时效性方面各有优缺,如何对中药饮片质量进行快速准确地辨识成为当下备受瞩目的问题,该文旨在探究电子眼技术在中药质量快速辨识研究中应用的可行性。收集80批川贝母待测样品,首先进行传统经验辨识(M_1)和现代药典检测(M_2);再利用电子眼采集其光学数据并借助化学计量学方法建立适宜的辨识模型(M_3),分别建立判别分析(DA)、最小二乘支持向量机(LS-SVM)、偏最小二乘-判别分析(PLS-DA)、主成分分析-判别分析(PCA-DA)4种真伪及商品规格辨识模型。经留一法交互验证真伪辨识模型准确率分别为82.5%,90.0%,96.2%,93.8%;商品规格辨识模型准确率分别为89.3%,96.0%,90.7%,97.3%,模型判别良好,真伪辨识以PLS-DA为最终辨识模型、商品规格以PCA-DA为最终辨识模型,其准确率与M_1无显著性差异,判别时间远较M_2短(P<0.01)。因此电子眼技术可用于川贝母质量快速辨识。
The quality of traditional Chinese medicine tablets is correlated with clinical efficacy and drug safety, and plays a great role in promoting the development of traditional Chinese medicine. However, the existing traditional artificial identification and modern instrument detection in terms of accuracy and timeliness have both advantages and disadvantages. Therefore, how to quickly and accurately identify the quality of traditional Chinese medicine tablets has become a high-profile issue. The purpose of this paper is to explore the feasibility of the application of electronic eye technology in the study of rapid identification of traditional Chinese medicine quality. A total of 80 batches of samples were collected and tested by Fritillariae Cirrhosae Bulbus for traditional empirical identification(M_1) and modern pharmacopeia(M_2). The optical data was collected from electronic eyes, and the chemical metrology was used to establish suitable discrimination models(M_3). Four authenticity and commodity specification models, namely identification analysis(DA), minimum bidirectional support vector machine(LS-SVM), partial minimum two-multiplier analysis(PLS-DA), main component analysis identification analysis(PCA-DA), were established, respectively. The accuracies of the authenticity identification models were 82.5%, 90.0%, 96.2% and 93.8%, while the accuracies of the commodity specification identification models were 89.3%, 96.0%, 90.7% and 97.3%, respectively. The models were well judged, the authenticity identification was based on the final identification model of PLS-DA, and the commodity specification was based on the final identification model of PCA-DA. There was no significant difference between its accuracy and M_1, and the time of determination was much shorter than M_2(P<0.01). Therefore, electronic-eye technology could be used for the rapid identification of the quality of Fritillariae Cirrhosae Bulbus.

关键词(KeyWords): 电子眼;川贝母;快速辨识;真伪;商品规格;辨识模型
electronic-eye;Fritillariae Cirrhosae Bulbus;quality identification;genuine/false;commodity specification;identification model

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基金项目(Foundation): 国家自然科学基金面上项目(81774452,81773892);; 河南省中医药科学研究专项(2018ZY2131);; 河南省中医临床研究基地科研专项(2018JDZX087);; 河南省中医药拔尖人才培养项目(2019ZYBJ07)

作者(Author): 刘瑞新;郝小佳;张慧杰;张璐;桂新景;林兆洲;罗崇念;田亮玉;王艳丽;冯文豪;姚静;李学林;
LIU Rui-xin;HAO Xiao-jia;ZHANG Hui-jie;ZHANG Lu;GUI Xin-jing;LIN Zhao-zhou;LUO Chong-nian;TIAN Liang-yu;WANG Yan-li;FENG Wen-hao;YAO Jing;LI Xue-lin;Henan University of Chinese Medicine;Department of Pharmacy, the First Affiliated Hospital of Henan University of Chinese Medicine;Research Center for Modern Engineering for Clinical Application of Chinese Medicine Decoction Pieces in Henan Province;Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-cons

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