Metabolomic Approach for Age Discrimination of Panax ginseng Using UPLC-Q-Tof MS
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Nahyun | - |
dc.contributor.author | Kim, Kemok | - |
dc.contributor.author | Choi, Byeong Yeob | - |
dc.contributor.author | Lee, DongHyuk | - |
dc.contributor.author | Shin, Yoo-Soo | - |
dc.contributor.author | Bang, Kyong-Hwan | - |
dc.contributor.author | Cha, Seon-Woo | - |
dc.contributor.author | Lee, Jae Won | - |
dc.contributor.author | Choi, Hyung-Kyoon | - |
dc.contributor.author | Jang, Dae Sik | - |
dc.contributor.author | Lee, Dongho | - |
dc.date.accessioned | 2021-09-07T07:17:50Z | - |
dc.date.available | 2021-09-07T07:17:50Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2011-10-12 | - |
dc.identifier.issn | 0021-8561 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/111378 | - |
dc.description.abstract | An ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-Tof MS)-based metabolomic technique was applied for metabolite profiling of 60 Panax ginseng samples aged from 1 to 6 years. Multivariate statistical methods such as principal component analysis and hierarchical clustering analysis were used to compare the derived patterns among the samples. The data set was subsequently applied to various metabolite selection methods for sophisticated classification with the optimal number of metabolites. The results showed variations in accuracy among the classification methods for the samples of different ages, especially for those aged 4, 5, and 6 years. This proposed analytical method coupled with multivariate analysis is fast, accurate, and reliable for discriminating the cultivation ages of P. ginseng samples and is a potential tool to standardize quality control in the P. ginseng industry. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | AMER CHEMICAL SOC | - |
dc.subject | PHYTOCHEMISTRY | - |
dc.subject | GINSENOSIDES | - |
dc.subject | ROOTS | - |
dc.subject | RADIX | - |
dc.subject | RAW | - |
dc.title | Metabolomic Approach for Age Discrimination of Panax ginseng Using UPLC-Q-Tof MS | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Jae Won | - |
dc.contributor.affiliatedAuthor | Lee, Dongho | - |
dc.identifier.doi | 10.1021/jf201718r | - |
dc.identifier.scopusid | 2-s2.0-80053544748 | - |
dc.identifier.wosid | 000295488000005 | - |
dc.identifier.bibliographicCitation | JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, v.59, no.19, pp.10435 - 10441 | - |
dc.relation.isPartOf | JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY | - |
dc.citation.title | JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY | - |
dc.citation.volume | 59 | - |
dc.citation.number | 19 | - |
dc.citation.startPage | 10435 | - |
dc.citation.endPage | 10441 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Agriculture | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Food Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Agriculture, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Applied | - |
dc.relation.journalWebOfScienceCategory | Food Science & Technology | - |
dc.subject.keywordPlus | PHYTOCHEMISTRY | - |
dc.subject.keywordPlus | GINSENOSIDES | - |
dc.subject.keywordPlus | ROOTS | - |
dc.subject.keywordPlus | RADIX | - |
dc.subject.keywordPlus | RAW | - |
dc.subject.keywordAuthor | Panax ginseng | - |
dc.subject.keywordAuthor | age discrimination | - |
dc.subject.keywordAuthor | UPLC-Q-Tof MS | - |
dc.subject.keywordAuthor | metabolomics | - |
dc.subject.keywordAuthor | multivariate analysis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.