Evidence map›Paper›PMID 22838839›Full record

ArticleChinese medicine2012

PlantID - DNA-based identification of multiple medicinal plants in complex mixtures.

Caroline Howard, Eleni Socratous, Sarah Williams, Eleanor Graham, Mark R Fowler, Nigel W Scott, Paul D Bremner, Adrian Slater

Abstract read
In one paragraph

Article in Chinese medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. A pharmacobotanical study of two medicinal species of Fabaceae.Asian Pacific journal of tropical biomedicine · 2014
    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

8 authors.

Caroline HowardBiomolecular Technology Group, Faculty of Health and Life Sciences, De Montfort University, Leicester, LE1 9BH, UK. ads@dmu.ac.uk.
Eleni Socratous
Sarah Williams
Eleanor Graham
Mark R Fowler
Nigel W Scott
Paul D Bremner
Adrian Slater

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn efficient method for the identification of medicinal plant products is now a priority as the global demand increases. This study aims to develop a DNA-based method for the identification and authentication of plant species that can be implemented in the industry to aid compliance with regulations, based upon the economically important Hypericum perforatum L. (St John's Wort or Guan ye Lian Qiao).

methodsThe ITS regions of several Hypericum species were analysed to identify the most divergent regions and PCR primers were designed to anneal specifically to these regions in the different Hypericum species. Candidate primers were selected such that the amplicon produced by each species-specific reaction differed in size. The use of fluorescently labelled primers enabled these products to be resolved by capillary electrophoresis.

resultsFour closely related Hypericum species were detected simultaneously and independently in one reaction. Each species could be identified individually and in any combination. The introduction of three more closely related species to the test had no effect on the results. Highly processed commercial plant material was identified, despite the potential complications of DNA degradation in such samples.

conclusionThis technique can detect the presence of an expected plant material and adulterant materials in one reaction. The method could be simply applied to other medicinal plants and their problem adulterants.

Identifiers

PMID22838839
PMCPMC3464944

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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.