Evidence map›Paper›PMID 26901179›Full record

ArticleMolecules (Basel, Switzerland)2016

Screening and Analysis of the Potential Bioactive Components of Poria cocos (Schw.) Wolf by HPLC and HPLC-MS(n) with the Aid of Chemometrics.

Ling-Fang Wu, Kun-Feng Wang, Xin Mao, Wen-Yi Liang, Wen-Jing Chen, Shi Li, Qi Qi, Ya-Ping Cui, Lan-Zhen Zhang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Comparison of Geographical Traceability of Wild and CultivatedJournal of analytical methods in chemistry · 2021
    Article
  7. Nutrients · 2020
    Article
  8. Phytochemistry and Pharmacological Activities ofFrontiers in pharmacology · 2020
    Review
  9. Article
  10. Review
  11. Correlation between Quality and Geographical Origins ofMolecules (Basel, Switzerland) · 2018
    Article
  12. Article
  13. Article
  14. 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.

Ling-Fang WuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. fanglingwu@163.com.
Kun-Feng WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. fengqiwu66463@sina.com.
Xin MaoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. mxmaoxin@126.com.
Wen-Yi LiangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. lwy1054289310@163.com.
Wen-Jing ChenSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. sdcwjing@163.com.
Shi LiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. lishi816@126.com.
Qi QiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. cici_jiayou@163.com.
Ya-Ping CuiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. 20150931830@bucm.edu.cn.
Lan-Zhen ZhangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. zhanglanzhen01@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to establish a new method based on Similarity Analysis (SA), Cluster Analysis (CA) and Principal Component Analysis (PCA) to determine the quality of different samples of Poria cocos (Schw.) Wolf obtained from Yunnan, Hubei, Guizhou, Fujian, Henan, Guangxi, Anhui and Sichuan in China. For this purpose 15 samples from the different habitats were analyzed by HPLC-PAD and HPLC-MS(n). Twenty-three compounds were detected by HPLC-MS(n), of which twenty compounds were tentatively identified by comparing their retention times and mass spectrometry data with that of reference compounds and reviewing the literature. The characteristic fragmentations were summarized. 3-epi-Dehydrotumulosic acid (F13), 3-oxo-16α,25-dihydroxylanosta-7,9(11),24(31)-trien-21-oic acid (F4), 3-oxo-6,16α-dihydroxylanosta-7,9(11),24(31)-trien-21-oic acid (F7) and dehydropachymic acid (F15) were deemed to be suitable marker compounds to distinguish between samples of different quality according to CA and PCA. This study provides helpful chemical information for further anti-tumor activity and active mechanism research on P. cocos. The results proved that fingerprint combined with a chemometric approach is a simple, rapid and effective method for the quality discrimination of P. cocos.

Indexed as

Biological ProductsChromatography, High Pressure LiquidCluster AnalysisMass SpectrometryPoriaPrincipal Component AnalysisTriterpenesBiological ProductsTriterpenescluster analysisfingerprintsprincipal component analysistriterpene acids

Identifiers

PMID26901179
PMCPMC6274397

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.