Metabolite Fingerprinting for Identification of <i>Panax ginseng</i> Metabolites Using Internal Extractive Electrospray Ionization Mass Spectrometry

Ginseng, a kind of functional food and medicine with high nutritional value, contains various pharmacological metabolites that influence human metabolic functions. Therefore, it is very important to analyze the composition and metabolites of ginseng. However, the analysis of active metabolites in gi...

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Main Authors: Xueyan Yuan, Xiaoping Zhang, Jiaquan Xu, Jianhua Ye, Zhendong Yu, Xinglei Zhang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/12/6/1152
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author Xueyan Yuan
Xiaoping Zhang
Jiaquan Xu
Jianhua Ye
Zhendong Yu
Xinglei Zhang
author_facet Xueyan Yuan
Xiaoping Zhang
Jiaquan Xu
Jianhua Ye
Zhendong Yu
Xinglei Zhang
author_sort Xueyan Yuan
collection DOAJ
description Ginseng, a kind of functional food and medicine with high nutritional value, contains various pharmacological metabolites that influence human metabolic functions. Therefore, it is very important to analyze the composition and metabolites of ginseng. However, the analysis of active metabolites in ginseng samples usually involves various experimental steps, such as extraction, chromatographic separation, and characterization, which may be time-consuming and laborious. In this study, an internal extractive electrospray ionization mass spectrometry (iEESI-MS) method was developed to analyze active metabolites in ginseng samples with sequential sampling and no pretreatment. A total of 44 metabolites, with 32 ginsenosides, 6 sugars, and 6 organic acids, were identified in the ginseng samples. The orthogonal partial least-squares discriminant analysis (OPLS-DA) score plot showed a clear separation of ginseng samples from different origins, indicating that metabolic changes occurred under different growing conditions. This study demonstrated that different cultivation conditions of ginseng can be successfully discriminated when using iEESI-MS-based metabolite fingerprints, which provide an alternative solution for the quality identification of plant drugs.
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spelling doaj.art-facd19aee3e641d68525a752c6003e172023-11-17T11:05:28ZengMDPI AGFoods2304-81582023-03-01126115210.3390/foods12061152Metabolite Fingerprinting for Identification of <i>Panax ginseng</i> Metabolites Using Internal Extractive Electrospray Ionization Mass SpectrometryXueyan Yuan0Xiaoping Zhang1Jiaquan Xu2Jianhua Ye3Zhendong Yu4Xinglei Zhang5Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, ChinaJiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, ChinaJiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, ChinaSchool of Nuclear Science and Engineering, East China University of Technology, Nanchang 330013, ChinaJiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, ChinaJiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, ChinaGinseng, a kind of functional food and medicine with high nutritional value, contains various pharmacological metabolites that influence human metabolic functions. Therefore, it is very important to analyze the composition and metabolites of ginseng. However, the analysis of active metabolites in ginseng samples usually involves various experimental steps, such as extraction, chromatographic separation, and characterization, which may be time-consuming and laborious. In this study, an internal extractive electrospray ionization mass spectrometry (iEESI-MS) method was developed to analyze active metabolites in ginseng samples with sequential sampling and no pretreatment. A total of 44 metabolites, with 32 ginsenosides, 6 sugars, and 6 organic acids, were identified in the ginseng samples. The orthogonal partial least-squares discriminant analysis (OPLS-DA) score plot showed a clear separation of ginseng samples from different origins, indicating that metabolic changes occurred under different growing conditions. This study demonstrated that different cultivation conditions of ginseng can be successfully discriminated when using iEESI-MS-based metabolite fingerprints, which provide an alternative solution for the quality identification of plant drugs.https://www.mdpi.com/2304-8158/12/6/1152ginsengmetabolitesinternal extractive electrospray ionization mass spectrometrysequential samplingmetabolite fingerprinting
spellingShingle Xueyan Yuan
Xiaoping Zhang
Jiaquan Xu
Jianhua Ye
Zhendong Yu
Xinglei Zhang
Metabolite Fingerprinting for Identification of <i>Panax ginseng</i> Metabolites Using Internal Extractive Electrospray Ionization Mass Spectrometry
Foods
ginseng
metabolites
internal extractive electrospray ionization mass spectrometry
sequential sampling
metabolite fingerprinting
title Metabolite Fingerprinting for Identification of <i>Panax ginseng</i> Metabolites Using Internal Extractive Electrospray Ionization Mass Spectrometry
title_full Metabolite Fingerprinting for Identification of <i>Panax ginseng</i> Metabolites Using Internal Extractive Electrospray Ionization Mass Spectrometry
title_fullStr Metabolite Fingerprinting for Identification of <i>Panax ginseng</i> Metabolites Using Internal Extractive Electrospray Ionization Mass Spectrometry
title_full_unstemmed Metabolite Fingerprinting for Identification of <i>Panax ginseng</i> Metabolites Using Internal Extractive Electrospray Ionization Mass Spectrometry
title_short Metabolite Fingerprinting for Identification of <i>Panax ginseng</i> Metabolites Using Internal Extractive Electrospray Ionization Mass Spectrometry
title_sort metabolite fingerprinting for identification of i panax ginseng i metabolites using internal extractive electrospray ionization mass spectrometry
topic ginseng
metabolites
internal extractive electrospray ionization mass spectrometry
sequential sampling
metabolite fingerprinting
url https://www.mdpi.com/2304-8158/12/6/1152
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