Evidence map›Paper›PMID 35890467›Full record

ArticlePlants (Basel, Switzerland)2022

Antimicrobial Activities against Opportunistic Pathogenic Bacteria Using Green Synthesized Silver Nanoparticles in Plant and Lichen Enzyme-Assisted Extracts.

Aistė Balčiūnaitienė, Paulina Štreimikytė, Viktorija Puzerytė, Jonas Viškelis, Žaneta Štreimikytė-Mockeliūnė, Žaneta Maželienė, Vaidė Sakalauskienė, Pranas Viškelis

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. 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
2.5field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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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

8 authors at 2 institutions in 1 country.

Aistė BalčiūnaitienėLithuanian Research Centre for Agriculture and Forestry, Institute of Horticulture, 54333 Babtai, Lithuania.
Paulina ŠtreimikytėLithuanian Research Centre for Agriculture and Forestry, Institute of Horticulture, 54333 Babtai, Lithuania.
Viktorija PuzerytėLithuanian Research Centre for Agriculture and Forestry, Institute of Horticulture, 54333 Babtai, Lithuania.
Jonas ViškelisLithuanian Research Centre for Agriculture and Forestry, Institute of Horticulture, 54333 Babtai, Lithuania.ORCID 0000-0002-1074-8384
Žaneta Štreimikytė-MockeliūnėInstitute of Microbiology and Virology, Lithuanian University of Health Sciences, Eivenių g. 2, 50161 Kaunas, Lithuania.
Žaneta MaželienėInstitute of Microbiology and Virology, Lithuanian University of Health Sciences, Eivenių g. 2, 50161 Kaunas, Lithuania.
Vaidė SakalauskienėMėlynė JSC, Sodų Str. 5, 54334 Babtai, Lithuania.
Pranas ViškelisLithuanian Research Centre for Agriculture and Forestry, Institute of Horticulture, 54333 Babtai, Lithuania.ORCID 0000-0001-5546-0168
Lithuanian Research Centre for Agriculture and Forestry · LTLithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzyme-assisted extraction is a valuable tool for mild and environmentally-friendly extraction conditions to release bioactive compounds and sugars, essential for silver nanoparticle (AgNP) green synthesis as capping and reducing agents. In this research, plant and fungal kingdoms were selected to obtain the enzyme-assisted extracts, using green synthesized AgNPs. For the synthesis, pseudo-cereal

Indexed as

Cetraria islandicaenzyme-assisted extractionFagopyrum esculentumgreen synthesissilver nanoparticlesTrichoderma reesei

Identifiers

PMID35890467
PMCPMC9322591
OpenAlexW4285392446

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.