Evidence map›Paper›PMID 35628585›Full record

ReviewInternational journal of molecular sciences2022

Ag Nanoparticles for Biomedical Applications-Synthesis and Characterization-A Review.

Alexandra Nicolae-Maranciuc, Dan Chicea, Liana Maria Chicea

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Green Synthesis and Characterization of Silver Nanoparticles UsingInternational journal of nanomedicine · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors.

Alexandra Nicolae-MaranciucResearch Center for Complex Physical Systems, Faculty of Sciences, Lucian Blaga University of Sibiu, Dr. Ion Raţiu Street 5-7, 550012 Sibiu, Romania.ORCID 0000-0003-0742-241X
Dan ChiceaResearch Center for Complex Physical Systems, Faculty of Sciences, Lucian Blaga University of Sibiu, Dr. Ion Raţiu Street 5-7, 550012 Sibiu, Romania.ORCID 0000-0001-8074-9107
Liana Maria ChiceaFaculty of Medicine, Lucian Blaga University of Sibiu, 550169 Sibiu, Romania.

Funding

Knowledge Transfer Center of the Lucian Blaga University of Sibiu LBUS-HPI-ERG-2020-07
6 · The paper itself

Abstract

Silver nanoparticles have been intensively studied over a long period of time because they exhibit antibacterial properties in infection treatments, wound healing, or drug delivery systems. The advantages that silver nanoparticles offer regarding the functionalization confer prolonged stability and make them suitable for biomedical applications. Apart from functionalization, silver nanoparticles exhibit various shapes and sizes depending on the conditions used through their fabrications and depending on their final purpose. This paper presents a review of silver nanoparticles with respect to synthesis procedures, including the polluting green synthesis. Currently, the most commonly used characterization techniques required for nanoparticles investigation in antibacterial treatments are described briefly, since silver nanoparticles possess differences in their structure or morphology.

Indexed as

Metal NanoparticlesSilverAnti-Bacterial AgentsPlant ExtractsWound HealingAnti-Bacterial AgentsPlant ExtractsSilverAgcharacterization techniquesfunctionalizationshapesilver nanoparticlessizesynthesis

Identifiers

PMID35628585
PMCPMC9146088

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.