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作者中文名	作者英文名	单位中文名	单位英文名	E-Mail
林丽	LIN Li	甘肃中医药大学药学院，甘肃兰州 730000 西北中藏药协同创新中心，甘肃兰州 730000	College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China Northwest Collaborative Innovation Center for Traditional Chinese Medicine, Lanzhou 730000, China
高素芳	GAO Su-fang	甘肃中医药大学药学院，甘肃兰州 730000 西北中藏药协同创新中心，甘肃兰州 730000	College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China Northwest Collaborative Innovation Center for Traditional Chinese Medicine, Lanzhou 730000, China
晋玲*	JIN Ling	甘肃中医药大学药学院，甘肃兰州 730000 西北中藏药协同创新中心，甘肃兰州 730000	College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China Northwest Collaborative Innovation Center for Traditional Chinese Medicine, Lanzhou 730000, China
陈红刚	CHEN Hong-gang	甘肃中医药大学药学院，甘肃兰州 730000 西北中藏药协同创新中心，甘肃兰州 730000	College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China Northwest Collaborative Innovation Center for Traditional Chinese Medicine, Lanzhou 730000, China
崔治家	CUI Zhi-jia	甘肃中医药大学药学院，甘肃兰州 730000 西北中藏药协同创新中心，甘肃兰州 730000	College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China Northwest Collaborative Innovation Center for Traditional Chinese Medicine, Lanzhou 730000, China
王亚丽	WANG Ya-li	甘肃中医药大学药学院，甘肃兰州 730000	College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China

基金项目:中央本级重大增减支项目（2060302）；国家自然科学基金项目（82060712）；国家中医药管理局中医药行业专项（2012070025-02）；甘肃省科技计划基础研究创新群体项目（1606RJIA323）；道地药材生态种植及质量保障项目（国中医药科技〔2020〕153号）；甘肃道地药材产业关键技术及其组方的基础与开发应用研究项目（GSSYLXM-05）；2018年中医药公共卫生服务补助专项（财社〔2018〕43号）

中文摘要:目的基于电子鼻PEN3系统结合多元统计分析对不同产地秦艽进行鉴别。方法先通过电子鼻系统动态采集秦艽芳香成分并得到响应值，通过单因素试验确定最佳试验条件，再应用主成分分析（PCA）、线性判别分析（LDA）及负荷加载分析法（Loadings）对结果进行分析。结果秦艽电子鼻最佳试验条件为样品称样量3.0 g、进气量250 mL?min^–1、样品室温放置时间15 min、颗粒度60目。PCA和LDA均对不同产地的秦艽有一定的区分能力，并且LDA优于PCA。结论电子鼻对秦艽的种类和产地鉴别准确性好且简便可行，能更准确、客观地对不同种、不同产地、不同栽培方式的秦艽进行鉴别。

中文关键词:气味分析系统秦艽主成分分析线性判别分析负荷加载分析法

Identification of Gentianae Macrophyllae Radix from Different Habitats Based on Odor Analysis System

Abstract:Objective To identify the Gentianae Macrophyllae Radix samples from different habitats by using the electronic nose PEN3 system combined with multivariate statistical analysis.Methods Firstly, the electronic nose system was used to collect the aromatic components of Gentianae Macrophyllae Radix and obtain the response values, and the single-factor test was employed to determine the best experimental conditions. Then, the principal component analysis (PCA), linear discriminant analysis (LDA), and loading analysis were conducted for the obtained data.Results The best experimental conditions of the electronic nose were as follows: sample weight of 3.0 g, intake flow rate of 250 mL·min^–1, storage time of 15 mins at room temperature, and the granularity of 60 meshes. PCA and LDA can distinguish the Gentianae Macrophyllae Radix samples from different habitats, and LDA outperformed PCA.Conclusion The electronic nose had high accuracy of identifying the plant species, habitats, and cultivation methods of Gentianae Macrophyllae Radix, being simple and feasible.

keywords:odor analysis system Gentianae Macrophyllae Radix principal component analysis linear discriminant analysis loading analysis

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