Evidence map›Paper›PMID 30622419›Full record

ArticleSaudi journal of biological sciences2019

Silver nanopaticles synthesized using the seed extract of

Rakesh Varghese, Mohammed A Almalki, Soundharrajan Ilavenil, Jeyanthi Rebecca, Ki Choon Choi

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

18 citing papers in PubMed, 73 citations in OpenAlex.

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  10. Phytofabrication of Silver Nanoparticles UsingInternational journal of molecular sciences · 2023
    Article
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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

5 authors at 3 institutions in 3 countries.

Rakesh VargheseDepartment of Industrial Biotechnology, Bharath University, Selaiyur, Chennai 31000, India.
Mohammed A AlmalkiBiological Sciences Department, College of Science, King Faisal University, Saudi Arabia.
Soundharrajan IlavenilGrassland and Forage Division, National Institute of Animal Science, RDA, Seonghwan-Eup, Cheonan-Si, Chungnam, Republic of Korea.
Jeyanthi RebeccaDepartment of Industrial Biotechnology, Bharath University, Selaiyur, Chennai 31000, India.
Ki Choon ChoiGrassland and Forage Division, National Institute of Animal Science, RDA, Seonghwan-Eup, Cheonan-Si, Chungnam, Republic of Korea.
Bharath University · INNational Institute of Animal Science · KRKing Faisal University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSynthesis of silver nanoparticles (AgNPs) through biological route plays an important role in their applications in the medical field, especially in the prevention of disease causing microbial pathogens and arresting the propagation of cancer cells. The stable, green synthesis of AgNPs is very much welcomed in the medical field because of their low toxicity. Therefore, the demands of AgNPs synthesised biologically is on the rise. The present study aimed to investigate the antimicrobial mechanisms and anticancer properties of the AgNPs synthesized using the seed extract of

resultsThe formation of brownish red color indicated the formation NPs with the absorption maximum at 420 nm. The average size was found to be 33.93 nm and sphere shaped. The FTIR spectrum revealed the absorption bands at 3340 cm

conclusionThe synthesized AgNPs could be further evaluated in large scale as a botanical antimicrobial agent.

Indexed as

AgNPsAnticancer activityAntimicrobial activityAntimicrobial mechanismFTIRTrigonella foenum-graecum L.

Identifiers

PMID30622419
PMCPMC6319018
OpenAlexW2730211846

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.