基于智能感官与多元统计分析的红芪药材快速辨识方法研究  

Study on Rapid Identification Method of Hedysari Radix Medicinal Materials Based on Intelligent Sensory and Multivariate Statistical Analysis

作　　者：刘娟娟[1] 龚华乾 李思霓 张佳玲 陈奕旸 胡慧芳 马晓辉[1,2] 晋玲 LIU Juanjuan;GONG Huaqian;LI Sini;ZHANG Jialing;CHEN Yiyang;HU Huifang;MA Xiaohui;JIN Ling(Gansu University of Chinese Medicine,Lanzhou 730000,China;Northwest Chinese-Tibetan Medicine Collaborative Innovation Center,Lanzhou 730000,China;Long-yao Industry Innovation Research Institute,Lanzhou 730000,China;Gansu Engineering Research Center for Evaluation,Protection and Utilization of Rare Traditional Chinese Medicine Resources,Lanzhou 730000,China)

机构地区：[1]甘肃中医药大学,甘肃兰州730000 [2]西北中藏药协同创新中心,甘肃兰州730000 [3]陇药产业创新研究院,甘肃兰州730000 [4]甘肃省珍稀中药资源评价与保护利用工程研究中心,甘肃兰州730000

出　　处：《中国中医药信息杂志》2024年第10期129-134,共6页Chinese Journal of Information on Traditional Chinese Medicine

基　　金：国家中药材产业技术体系(CARS-21);甘肃省科技计划项目-科技重大专项(23ZDFA013-1);甘肃省科技计划项目-科技特派团专项(23CXNA0042);甘肃省珍稀中药资源评价与保护利用工程研究中心开放基金(GSZXZY202203);西北中藏药省部共建协同创新中心(2020年);中国工程院战略研究与咨询项目(GS2021ZDA06);道地药材生态种植及质量保障项目(2020年)。

摘　　要：目的基于多元统计分析方法,整合由智能感官电子鼻和色差仪获取的中药性状鉴别特征,建立红芪野生品和栽培品快速辨识方法,为红芪商品规格标准制定和市场质量控制应用研究提供参考。方法基于色差仪和电子鼻技术对29批红芪样品进行检测以获取其感官信息,通过HPLC测定红芪有效成分并进行联合分析。建立红芪电子鼻最佳试验条件后,采用主成分分析、正交偏最小二乘-判别分析及聚类分析等多元统计分析方法建立红芪野生品和栽培品辨别模型。结果红芪电子鼻最佳试验条件(颗粒度为65目)为样品取样量2.0 g,样品最佳孵化温度50℃、孵化时间25 min。单一智能感官检测结果无法快速、准确地辨别红芪野生品和栽培品,而电子鼻与色差仪融合信息可快速辨别两者,且化学成分与色味具有一定相关性。结论电子鼻和色差仪两类智能感官信息经多元统计分析能够快速、准确地区分野生品和栽培品红芪药材,简便可行,将其相关性能与有效成分联合分析可用于红芪的品质评价。Objective To establish the rapid identification method of Hedysari Radix wild and cultivated products by integrating the identification characteristics of TCM traits obtained by intelligent senses such as electronic nose and colorimeter based on the multivariate statistical analysis method;To provide new ideas and methods for the formulation of commodity specification standards and the application research of market quality control for Hedysari Radix.Methods Totally 29 batches of samples of Hedysari Radix were detected based on colorimeter and electronic nose technology to obtain their sensory information,and the effective components of Hedysari Radix were determined by high performance liquid chromatography(HPLC)and other methods for joint analysis.After establishing the optimal experimental conditions of Hedysari Radix electronic nose,multivariate statistical analysis methods,such as principal component analysis(PCA),orthogonal partial least squares-discriminant analysis(OPLS-DA)and clustering analysis,were used to establish the identification model of Hedysari Radix wild and cultivated commodities.Results The optimum test conditions of Hedysari Radix electronic nose(particle size of 65 mesh):the sample weight was 2.0 g,the optimum temperature of the sample was 50°C,and the time was 25 min.A single intelligent sensory result could not quickly and accurately identify the two,but the fusion information could quickly identify the wild and cultivated commodities of Hedysari Radix,and the chemical composition had a certain correlation with the color and taste.Conclusion Electronic nose and colorimeter can quickly and accurately distinguish wild and cultivated Hedysari Radix after multivariate statistical analysis,which is simple and feasible.The combined analysis of its related properties and active components can be used for the quality evaluation of Hedysari Radix.

关 键 词：红芪 电子鼻 色差仪 野生品 栽培品 多元统计分析 

分 类 号：R282.5[医药卫生—中药学]