Evidence map›Paper›PMID 35204674›Full record

ArticleBiomolecules2022

Search for Effective Approaches to Fight Microorganisms Causing High Losses in Agriculture: Application of

Masudulla Khan, Azhar U Khan, Mohd Rafatullah, Mahboob Alam, Nina Bogdanchikova, Diana Garibo

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

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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

6 authors at 6 institutions in 4 countries.

Masudulla KhanBotany Section, Women's College, Aligarh Muslim University, Aligarh 202002, India.
Azhar U KhanSchool of life and Basic Sciences, Department of Chemistry, SIILAS CAMPUS, Jaipur National University, Jaipur 302017, India.
Mohd RafatullahSchool of Industrial Technology, Universiti Sains Malaysia, Gelugor 11800, Penang, Malaysia.ORCID 0000-0002-4590-3153
Mahboob AlamDivision of Chemistry and Biotechnology, Dongguk University, 123, Dongdaero, Gyeongju-si 780714, Korea.ORCID 0000-0002-5188-1130
Nina BogdanchikovaCentro de Nanociencias y Nanotecnología, Universidad Nacional Autónoma de México, Ensenada 22800, Mexico.ORCID 0000-0003-0929-3535
Diana GariboCentro de Nanociencias y Nanotecnología, CONACYT Research Fellow at Universidad Nacional Autónoma de México, Ensenada 22800, Mexico.
Aligarh Muslim University · INDongguk University · KRJaipur National University · INSecretaría de Ciencia, Humanidades, Tecnología e Innovación · MXUniversidad Nacional Autónoma de México · MXUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The manuscript presents the first report to produce silver nanoparticles (AgNPs) using soil-inhabiting

methodsA fungus biomass was used as a reducing and stabilising agent in the process of NPs synthesis and then characterisation done by SEM, TEM, UV-Vis. Finally, the antimicrobial activity of the synthesised AgNPs was determined.

resultsSynthesised AgNPs with a spherical and quasi-spherical shape with an average diameter of 50 nm were effective to inhibit

conclusionsBiosynthesised AgNPs can be used as an effective fungicide and nematicide for food safety and security and improvement of agricultural production, but further agricultural field trials are required to observe their effect on environment and other factors.

Indexed as

Metal NanoparticlesSilverAgricultureSilverAgNPsAspergillus flavusMeloidogyne incognitaPurpureocillium lilacinum

Identifiers

PMID35204674
PMCPMC8961611
OpenAlexW4206808000

What OpenQuestion holds

Textmetadata
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.