Evidence map›Paper›PMID 37446911›Full record

ArticleMolecules (Basel, Switzerland)2023

Chemical Differentiation and Quantitative Analysis of Black Ginseng Based on an LC-MS Combined with Multivariate Statistical Analysis Approach.

Lele Li, Zhixia Chang, Keyu Wei, Yi Tang, Zhao Chen, Hongli Zhang, Yang Wang, Heyun Zhu, Bo Feng

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lele LiSchool of Pharmacy, Jilin Medical University, Jilin 132013, China.ORCID 0000-0002-2999-2344
Zhixia ChangSchool of Pharmacy, Jilin Medical University, Jilin 132013, China.
Keyu WeiSchool of Pharmacy, Jilin Medical University, Jilin 132013, China.
Yi TangSchool of Pharmacy, Jilin Medical University, Jilin 132013, China.
Zhao ChenSchool of Pharmacy, Jilin Medical University, Jilin 132013, China.
Hongli ZhangSchool of Pharmacy, Jilin Medical University, Jilin 132013, China.
Yang WangJilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China.ORCID 0000-0002-2582-7480
Heyun ZhuSchool of Pharmacy, Jilin Medical University, Jilin 132013, China.
Bo FengSchool of Pharmacy, Jilin Medical University, Jilin 132013, China.

Funding

Innovation and Entrepreneurship Project for College Students in Jilin Province S202113706065Science and Technology Project from the Department of Education of Jilin Province JJKH20220470KJScience and Technology Project from the Department of Science and Technology of Jilin Province YDZJ202201ZYTS268
6 · The paper itself

Abstract

Black ginseng is a new type of processed ginseng that is traditionally used in herbal medicine in East Asian countries. It is prepared from fresh, white, or red ginseng by undergoing a process of steaming and drying several times. However, the chemical differentiation of black ginseng with different processing levels is not well understood. The aim of this study was to propose a new method for discriminating and quantifying black ginseng. Six ginsenosides from black ginseng were accurately quantified, and based on this, the black ginseng samples were divided into incomplete and complete black ginseng. Ultrahigh-performance liquid chromatography-quadrupole-time of flight/mass spectrometry (UPLC-Q-TOF/MS) combined with a multivariate statistical analysis strategy was then employed to differentiate the two groups. A total of 141 ions were selected as analytical markers of black ginseng, with 45 of these markers being annotated by matching precise

Indexed as

GinsenosidesPanaxChromatography, High Pressure LiquidChromatography, LiquidPlant ExtractsTandem Mass SpectrometryGinsenosidesPlant Extractsblack ginsengginsenosidesmultivariate statistical analysisprocessingUPLC-Q-TOF/MS

Identifiers

PMID37446911
PMCPMC10343742

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.