NATURAL PRODUCT RESEARCH AND DEVELOPMENT ›› 2023, Vol. 35 ›› Issue (增刊1): 87-96.

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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

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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