Evidence map›Paper›PMID 31459969›Full record

ArticleACS omega2019

Green Nanotechnology-Driven Drug Delivery Assemblies.

Rohini Kanwar, Jyoti Rathee, Deepak B Salunke, Surinder K Mehta

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Utilizing nanotechnology to diagnose and treat central nervous system disorders.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  5. Article
  6. The Antimicrobial and Antibiofilm Potential ofArchives of Razi Institute · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Nanomaterials (Basel, Switzerland) · 2023
    Review
  20. Review
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

4 authors.

Rohini KanwarDepartment of Chemistry and Center of Advanced Studies in Chemistry, Panjab University, Chandigarh U.T. 160014, India.
Jyoti RatheeDepartment of Chemistry and Center of Advanced Studies in Chemistry, Panjab University, Chandigarh U.T. 160014, India.
Deepak B SalunkeDepartment of Chemistry and Center of Advanced Studies in Chemistry, Panjab University, Chandigarh U.T. 160014, India.
Surinder K MehtaDepartment of Chemistry and Center of Advanced Studies in Chemistry, Panjab University, Chandigarh U.T. 160014, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green nanotechnology incorporates the principles of green chemistry and green engineering to fabricate innocuous and eco-friendly nanoassemblies to combat the problems affecting the human health or environment. Subsequently, amalgamation of green nanotechnology with drug delivery area has actually commenced a new realm of "green nanomedicine". The burgeoning demand for green nanotechnology-driven drug delivery systems has led to the development of different types of delivery devices, like inorganic (metallic) nanoparticles, quantum dots, organic polymeric nanoparticles, mesoporous silica nanoparticles, dendrimers, nanostructured lipid carriers, solid lipid nanoparticles, etc. The present article deals with a brief account of delivery devices produced from green methods and describes site-specific drug delivery systems (including their pros and cons) and their relevance in the field of green nanomedicine.

Identifiers

PMID31459969
PMCPMC6648705

What OpenQuestion holds

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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.