天然产物研究与开发 ›› 2023, Vol. 35 ›› Issue (增刊1): 87-96.

• 开发研究 • 上一篇    下一篇

基于顶空-气相色谱-离子迁移谱结合化学计量学分析的西洋参与人参鉴别研究

张敏敏1,岳晓莉3,闫慧娇1,王   晓1,刘   军1,东莎莎2*,赵恒强1*   

  1. 1齐鲁工业大学(山东省科学院) 山东省分析测试中心;2中华全国供销合作总社济南果品研究院;3济南市企业服务中心,济南 250014
  • 出版日期:2023-06-28 发布日期:2023-06-13
  • 基金资助:
    中央本级重大增减支项目“名贵中药资源可持续利用能力建设项目”(2060302);财政部和农业农村部:国家现代农业产业技术体系(CARS-21);山东省重点研发计划(重大科技创新工程)(2021CXGC010508);山东省外专双百计划项目;济南市“高校20条”资助项目(2020GXRC007)

Identification of Panacis Quinquefolii Radix and Ginseng Radix et Rhizoma based on HS-GC-IMS combined with chemometrics

ZHANG Min-min1,YUE Xiao-li3,YAN Hui-jiao1,WANG Xiao1,LIU Jun1,DONG Sha-sha2*,ZHAO Heng-qiang1*   

  1. 1Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences);2Jinan Fruit Research Institute,China Federation of Supply and Marketing Cooperatives;3Jinan Enterprise Service Center,Jinan 250014,China
  • Online:2023-06-28 Published:2023-06-13

摘要:

针对市场流通中存在的西洋参与人参的鉴别技术难题,本研究建立了顶空进样-气相色谱-离子迁移谱(headspace-gas chromatography-ion mobility spectrometry,HS-GC-IMS)结合化学计量学分析的西洋参与人参快速鉴别方法,为其质量监管提供技术支持。首先采用顶空-气相色谱-离子迁移谱技术对不同样本中的挥发性有机物进行检测并结合NIST数据库和IMS数据库实现部分成分的定性鉴别。再通过Gallery-plot可视化指纹图谱直观对比西洋参、人参及掺入不同比例人参的西洋参样品的差异后进一步结合PCA和LDA分析对西洋参与掺入不同比例人参的掺假西洋参样本进行区分。经研究,在西洋参和人参中分别鉴别出62个和69个成分,通过Gallery-plot可视化指纹图谱可以初步实现西洋参和人参的区分。另外结合PCA和LDA分析实现了西洋参和掺入不同比例人参的西洋参样品的区分,判别正确率和交叉验证率均达到100%,其中7个成分对分离的贡献度较大,有望作为西洋参和人参区分的化学标记物。该方法可以快速、无损的实现西洋参中挥发性有机成分的检测,结合统计学分析实现西洋参、人参及掺入不同比例人参的西洋参的准确、快速鉴别,为其的真实性鉴别研究提供一种新方法。

关键词: 顶空-气相色谱-离子迁移谱, 化学计量学, 西洋参, 人参, 主成分分析, 线性判别分析

Abstract:

In view of the technical supervision problems of using Ginseng Radix et Rhizoma (GRR) as fake or adulterated Panacis Quinquefolii Radix (PQR),this study established a method to quickly identification these samples based on headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) combined with principal component analysis.It provides technical support for the quality supervision of PQR.At first,HS-GC-IMS was used to detect the volatile organic compounds (VOCs) in different samples,and combined with the NIST database and IMS database to achieve qualitative identification of some components.Through the visualized fingerprint atlas,it is initially found that there are certain differences in the PQR and adulterated samples;principal component analysis (PCA) and linear discriminant analysis (LDA) are further adopted to distinguish the adulterated samples with different proportions of GRR.As a result,62 and 69 components were identified in PQR and GRR respectively.The visualized fingerprint atlas obtained by Gallery-plot can initially distinguish PQR and GRR.PCA and LDA processing can realized the distinction PQR among adulterated samples with different proportions of GRR.The accuracy of the distinction and cross-validation rate also reach 100%,among them,seven components have a greater contribution to the separation and are expected to be used as chemical markers for distinguishing PQR and GRR.In conclusion,this method can quickly and non-destructively realize the detection of VOCs in the fake samples,combined with statistical data processing and analysis to obtain accurate and rapid identification of adulterated PQR samples,and provide a new method for the rapid identification of PQR.

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中图分类号:  TS26.17