摘要
目的:基于电子鼻技术,建立一种快速而准确的川贝母真伪及规格辨识新方法,并探讨该技术用于中药饮片鉴定的可行性。方法:以川贝母为研究对象,收集80批待测样品,以电子鼻嗅觉感官数据为自变量X,以2020年版《中华人民共和国药典》所载方法结果为主,并参考传统经验辨识结果作为标杆辨识信息Y,利用判别分析(DA),最小二乘支持向量机(LSSVM),主成分分析-判别分析(PCA-DA),偏最小二乘法-判别分析(PLS-DA)4种化学计量学方法分别建立川贝母饮片真伪及商品规格辨识模型Y=F(X);以辨识准确率、耗时为指标,对结果进行探讨。结果:经留一法交互验证,在真伪辨识中,上述4种模型正确率分别为93.75%,91.25%,95.00%和95.00%,以PCA-DA与PLS-DA辨识模型为最优;在规格辨识中,4种模型辨识正确率分别为86.67%,88.00%,89.33%和68.00%,以PCA-DA辨识模型为最优。电子鼻辨识真伪及规格模型的准确率均较高,耗时相对较短。结论:电子鼻技术可准确、快速地对川贝母进行鉴别,在时效性和正判率方面均具有显著优势。
Objective:To establish a new fast and accurate method for identifying the authenticity and specifications of Fritillariae Cirrhosae Bulbus based on electronic nose technology,and to discuss the feasibility of this technology in the identification of decoction pieces. Method: Fritillariae Cirrhosae Bulbus was used as the research object,80 batches of samples to be tested were collected,and the olfactory sensory data of the electronic nose were taken as independent variables(X),the results of the method contained in the 2020 edition of Chinese Pharmacopoeia were taken as the focus,and the traditional empirical identification results were used as benchmarking information(Y). Four chemometric methods,including discriminant analysis(DA),least square support vector machine(LS-SVM),principal component analysis-DA(PCA-DA)and partial least squares-DA(PLS-DA), were used to establish the identification model [Y=F(X)] of authenticity and commodity specifications of Fritillariae Cirrhosae Bulbus,respectively. Wherein,the identification accuracy and time-consuming was taken as indicators to discuss the results. Result:After cross-verification by leave-one-out method,the correct rates of the above four models were 93.75%,91.25%,95.00% and 95.00%,respectively,and the PCA-DA and PLS-DA identification models were the best in terms of authenticity identification. In specification identification,the correct rates of these four models were 86.67%,88.00%,89.33% and 68.00%,respectively,and the PCA-DA identification model was the best. The electronic nose had a high accuracy in the identification of authenticity and specification model,and the time consuming was relatively short. Conclusion:Electronic nose technology can identify Fritillariae Cirrhosae Bulbus accurately and quickly,and has significant advantages in terms of timeliness and correct judgment rate.
作者
冯文豪
田亮玉
施钧瀚
桂新景
张慧杰
张璞
李媛媛
张璐
王艳丽
姚静
李学林
刘瑞新
FENG Wen-hao;TIAN Liang-yu;SHI Jun-han;GUI Xin-jing;ZHANG Hui-jie;ZHANG Pu;LI Yuan-yuan;ZHANG Lu;WANG Yan-li;YAO Jing;LI Xue-lin;LIU Rui-xin(Henan University of Chinese Medicine,Zhengzhou 450008,China;Engineering Research Center for Modernization of Clinical Application of Chinese Herbal Pieces,The First Affiliated Hospital of Henan University of Chinese Medicine,Zhengzhou 450000,China)
出处
《中国实验方剂学杂志》
CAS
CSCD
北大核心
2021年第13期108-118,共11页
Chinese Journal of Experimental Traditional Medical Formulae
基金
国家自然科学基金面上项目(81773892)
河南省中医药科学研究专项(2018ZY2131)
河南省中医药拔尖人才培养项目(重点项目()2019ZYBJ07)
河南省高层次人才特殊支持“中原千人计划”-“中原青年拔尖人才”项目(ZYQR201912158)。
关键词
电子鼻
川贝母
真伪
规格
辨识模型
化学计量学
平贝母
electronic nose
Fritillariae Cirrhosae Bulbus
authenticity
specifications
discrimination model
chemometrics
Fritillariae Ussuriensis Bulbus
