Rapid discrimination between red and white ginseng based on unique mass-spectrometric features
文献类型:期刊论文
作者 | Zhao, Qiang1,2; Zhao, Nan2; Ye, Xueting1,2; He, Meixi1,2; Yang, Yiren1,2; Gao, Huiyuan1; Zhang, Xiaozhe2 |
刊名 | Journal of pharmaceutical and biomedical analysis |
出版日期 | 2019-02-05 |
卷号 | 164页码:202-210 |
ISSN号 | 0731-7085 |
关键词 | Uhplc-q-tof-ms Red ginseng Robust biomarker Nitrogen-containing compound Support vector machine Artificial neural network |
DOI | 10.1016/j.jpba.2018.10.007 |
通讯作者 | Gao, huiyuan(sypugaohy@163.com) ; Zhang, xiaozhe(zhangxz@dicp.ac.cn) |
英文摘要 | Red ginseng (rg) and white ginseng (wg), two processed products of panax ginseng c. a. meyer, are in high demand due to their unique features. in this study, some of these unique features were identified and confirmed as biomarkers of rg by using ultra-high-performance liquid chromatography-mass spectrometry, data mining, support vector machine, and artificial neural network. principal component analysis showed clear separation between the rg and wg extracts, indicating the presence of potential discriminators. in addition, 20 features that are dominant in rg were found by data mining. samples of panax quinquefolium (pq) and panax notoginseng (pn), close relatives of panax ginseng c.a.meyer, were investigated and it was found that 17 features which were absent in pq and pn samples, were present in rg and wg. five of these markers were identified as nitrogen-containing compounds that have not been previously reported. finally, we found that rg can be identified among different ginseng medicinal herbs including rg, wg, pq and pn samples, by loading four feature markers corresponding to nitrogen-containing compounds into a discriminating model, based on a support vector machine or an artificial neural network. thus, this study provides an efficient tool to identify rg during pharmacological research. (c) 2018 elsevier b.v. all rights reserved. |
WOS关键词 | PANAX-GINSENG ; METABOLOMIC APPROACH ; GINSENOSIDES ; DIFFERENTIATION ; QUANTIFICATION ; CHROMATOGRAPHY ; DISCOVERY ; PRODUCTS |
WOS研究方向 | Chemistry ; Pharmacology & Pharmacy |
WOS类目 | Chemistry, Analytical ; Pharmacology & Pharmacy |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE BV |
WOS记录号 | WOS:000456900700025 |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2372881 |
专题 | 大连化学物理研究所 |
通讯作者 | Gao, Huiyuan; Zhang, Xiaozhe |
作者单位 | 1.Shenyang Pharmaceut Univ, Minist Educ, Key Lab Struct Based Drug Design & Discovery, Shenyang, Liaoning, Peoples R China 2.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Qiang,Zhao, Nan,Ye, Xueting,et al. Rapid discrimination between red and white ginseng based on unique mass-spectrometric features[J]. Journal of pharmaceutical and biomedical analysis,2019,164:202-210. |
APA | Zhao, Qiang.,Zhao, Nan.,Ye, Xueting.,He, Meixi.,Yang, Yiren.,...&Zhang, Xiaozhe.(2019).Rapid discrimination between red and white ginseng based on unique mass-spectrometric features.Journal of pharmaceutical and biomedical analysis,164,202-210. |
MLA | Zhao, Qiang,et al."Rapid discrimination between red and white ginseng based on unique mass-spectrometric features".Journal of pharmaceutical and biomedical analysis 164(2019):202-210. |
入库方式: iSwitch采集
来源:大连化学物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。