Evidence map›Paper›PMID 23569974›Full record

ArticleAsian Pacific journal of tropical biomedicine2012

Synthesis of silver nanoparticles using leaves of Catharanthus roseus Linn. G. Don and their antiplasmodial activities.

S Ponarulselvam, C Panneerselvam, K Murugan, N Aarthi, K Kalimuthu, S Thangamani

Abstract read
In one paragraph

Article in Asian Pacific journal of tropical biomedicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
–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

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Antibiotics (Basel, Switzerland) · 2023
    Article
  13. Review
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  15. Article
  16. Green Synthesis of Silver Nanoparticles UsingNanomaterials (Basel, Switzerland) · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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

6 authors.

S PonarulselvamDepartment of Zoology, School of Life Sciences, Bharathiar University, Coimbatore-641 046, India.
C Panneerselvam
K Murugan
N Aarthi
K Kalimuthu
S Thangamani

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a novel approach for the green synthesis of silver nanoparticles using aqueous leaves extracts of Catharanthus roseus (C. roseus) Linn. G. Don which has been proven active against malaria parasite Plasmodium falciparum (P. falciparum).

methodsCharacterizations were determined by using ultraviolet-visible (UV-Vis) spectrophotometry, scanning electron microscopy (SEM), energy dispersive X-ray and X-ray diffraction.

resultsSEM showed the formation of silver nanoparticles with an average size of 35-55 nm. X-ray diffraction analysis showed that the particles were crystalline in nature with face centred cubic structure of the bulk silver with the broad peaks at 32.4, 46.4 and 28.0.

conclusionsIt can be concluded that the leaves of C. roseus can be good source for synthesis of silver nanoparticle which shows antiplasmodial activity against P. falciparum. The important outcome of the study will be the development of value added products from medicinal plants C. roseus for biomedical and nanotechnology based industries.

Indexed as

AntimalarialsCatharanthusMicroscopy, Electron, ScanningNanoparticlesPlant ExtractsPlant LeavesPlasmodium falciparumSilverSpectrometry, X-Ray EmissionSpectrophotometryX-Ray DiffractionAntimalarialsPlant ExtractsSilverAntiplasmodial activityCatharanthus roseusPlasmodium falciparumSilver nanoparticles

Identifiers

PMID23569974
PMCPMC3609350

What OpenQuestion holds

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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.