Evidence map›Paper›PMID 35516774›Full record

ReviewRSC advances2020

Non-ionic small amphiphile based nanostructures for biomedical applications.

Badri Parshad, Suchita Prasad, Sumati Bhatia, Ayushi Mittal, Yuanwei Pan, Prashant Kumar Mishra, Sunil K Sharma, Ljiljana Fruk

Abstract readReview
In one paragraph

Review in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A molecular grammar for programmable multiphase protein-RNA vesicles.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

8 authors.

Badri ParshadDepartment of Chemical Engineering and Biotechnology, University of Cambridge Cambridge CB3 0AS UK lf389@cam.ac.uk bp448@cam.ac.uk.
Suchita PrasadDepartment of Chemistry, University of Delhi Delhi 110 007 India.
Sumati BhatiaInstitut für Chemie und Biochemie, Freie Universität Berlin Takustraße 3 14195 Berlin Germany.ORCID https://orcid.org/0000-0002-5123-4937
Ayushi MittalDepartment of Chemistry, University of Delhi Delhi 110 007 India.
Yuanwei PanInstitut für Chemie und Biochemie, Freie Universität Berlin Takustraße 3 14195 Berlin Germany.
Prashant Kumar MishraSchool of Chemical and Process Engineering, University of Leeds Leeds LS2 9JT UK.
Sunil K SharmaDepartment of Chemistry, University of Delhi Delhi 110 007 India.ORCID https://orcid.org/0000-0001-7295-0441
Ljiljana FrukDepartment of Chemical Engineering and Biotechnology, University of Cambridge Cambridge CB3 0AS UK lf389@cam.ac.uk bp448@cam.ac.uk.ORCID https://orcid.org/0000-0003-2104-5817

Funding

Cancer Research UK 27887
6 · The paper itself

Abstract

Self-assembly of non-ionic amphiphilic architectures into nanostructures with defined size, shape and morphology has garnered substantial momentum in the recent years due to their extensive applications in biomedicine. The manifestation of a wide range of morphologies such as micelles, vesicles, fibers, tubes, and toroids is thought to be related to the structure of amphiphilic architectures, in particular, the choice of the hydrophilic and hydrophobic parts. In this review, we look at different types of non-ionic small amphiphilic architectures and the factors that influence their self-assembly into various nanostructures in aqueous medium. In particular, we focus on the explored structural parameters that guide the formation of various nanostructures, and the ways these structures can be used in applications ranging from drug delivery to cell imaging.

Identifiers

PMID35516774
PMCPMC9058284

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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.