Evidence map›Paper›PMID 38828360›Full record

ReviewHeliyon2024

A systematic review on green synthesis of silver nanoparticles using plants extract and their bio-medical applications.

Mst Sanjida Akhter, Md Ataur Rahman, Rezaul Karim Ripon, Mahfuza Mubarak, Mahmuda Akter, Shamim Mahbub, Firoj Al Mamun, Md Tajuddin Sikder

RetractedAbstract readReviewRetracted Publication
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Biochemistry and biophysics reports · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Synthesis of Silver Nanoparticles by UsingMolecules (Basel, Switzerland) · 2025
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mst Sanjida AkhterHealth and Environmental Epidemiology Laboratory (HEEL), Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.
Md Ataur RahmanDepartment of Pharmacy, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh.
Rezaul Karim RiponDepartment of Environmental Health Epidemiology, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA.
Mahfuza MubarakHealth and Environmental Epidemiology Laboratory (HEEL), Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.
Mahmuda AkterFaculty of Arts and Science, New York University Shanghai, Shanghai, China.
Shamim MahbubNuclear Safety, Security & Safeguards Division, Bangladesh Atomic Energy Regulatory Authority, 12/A, Shahid Shahabuddin Shorok, Agargaon, Dhaka, 1207, Bangladesh.
Firoj Al MamunDepartment of Public Health, University of South Asia, Dhaka, Bangladesh.
Md Tajuddin SikderHealth and Environmental Epidemiology Laboratory (HEEL), Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles have recently become considered as a crucial player in contemporary medicine, with therapeutic uses ranging from contrast agents in imaging to carriers for the transport of drugs and genes into a specific target. Nanoparticles have the ability to have more precise molecular interactions with the human body in order to target specific cells and tissues with minimal adverse effects and maximal therapeutic outcomes. With the least number of side effects and the greatest possible therapeutic benefit, nanoparticles can target particular cells and tissues through more precise molecular interactions with the human body. The majority of global public health problems are now treated with green synthesized silver nanoparticles (AgNPs), which substantially affect the fundamental structure of DNA and proteins and thus display their antimicrobial action. AgNPs can inhibit the proliferation of tumor cells and induce oxidative stress. By inhibiting vascular endothelial growth factor (HIF)-1, pro-inflammatory mediators generated by silver nanoparticles are reduced, mucin hypersecretion is lessened, and gene activity is subsequently regulated to prevent infections. The biogenic synthesis of silver nanoparticles (AgNPs) using various plants and their applications in antibacterial, antifungal, antioxidant, anticancer, anti-inflammatory, and antidiabetic activities have been extensively discussed in this article. Also, because only natural substances are utilized in the manufacturing process, the particles that are created naturally are coated, stabilized, and play a vital role in these biomedical actions. The characterization of AgNPs, possibility of preparing AgNPSs with different shapes using biological method and their impact on functions and toxicities, impact of size, shape and other properties on AgNPs functions and toxicity profiles, limitations, and future prospects of green-mediated AgNPs have also been reported in this study. The major goal of this study is to provide readers with a comprehensive, informed, and up-to-date summary of the various AgNPs production and characterization methods and their under-investigational antioxidant, antibacterial, and anticancer, antidiabetic, antifungal and anti-inflammatory properties. This review provides instructions and suggestions for additional studies based on AgNPs. This evaluation also pushes researchers to look into natural resources like plant parts in order to create useful nanobiotechnology.

Identifiers

PMID38828360
PMCPMC11140609

What OpenQuestion holds

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Registered trials

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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.