Evidence map›Paper›PMID 29624609›Full record

ArticlePloS one2018

Integrated approach for identifying and evaluating the quality of Marsdenia tenacissima in the medicine market.

Ning Yu, Yu-Long Wei, Yue Zhu, Ning Zhu, Yan-Li Wang, Hai-Ping Zhang, Ai-Dong Sun

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. The efficacy of machine learning algorithm for raw drug authentication inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  4. Review
  5. Article
  6. Review
  7. The Antitumor Activities ofFrontiers in oncology · 2018
    Review
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

7 authors.

Ning YuCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Yu-Long WeiCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Yue ZhuCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Ning ZhuCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Yan-Li WangCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Hai-Ping ZhangCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Ai-Dong SunCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.ORCID 0000-0001-8854-8887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate identification and quality evaluation of herbal medical plants is highly necessary to ensure their safety and efficacy. In present study, a new strategy combining DNA barcoding techniques with thin-layer chromatography (TLC) and high-performance liquid chromatography (HPLC) was proposed to facilitate the identification and quality control of M. tenacissima. In present work, the internal transcribed spacer 2 (ITS2) barcode was successfully used to identify 58 M. tenacissima samples and its adulterants. TLC successfully identified the other three M. tenacissima samples that failed to produce ITS2 regions. An adulterant was found in all the 62 samples. Moreover, the content of active medicinal ingredients is important for herbal plants quality. The content of tenacissoside H (TS-H) of M. tenacissima samples was determined by HPLC to range from 0.39% to 1.09%, which meets the criterion of the Chinese Pharmacopoeia. Thus, DNA barcoding coupled with TLC and HPLC is very promising to identify and evaluate the quality of M. tenacissima in the medicine market.

Indexed as

ChinaChromatography, High Pressure LiquidChromatography, Thin LayerDNA Barcoding, TaxonomicDNA, PlantDrug ContaminationDrugs, Chinese HerbalHumansMarsdeniaPlants, MedicinalQuality ControlDNA, PlantDrugs, Chinese Herbal

Identifiers

PMID29624609
PMCPMC5889066

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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.