Evidence map›Paper›PMID 28638783›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2017

Recent Advances of Activatable Molecular Probes Based on Semiconducting Polymer Nanoparticles in Sensing and Imaging.

Yan Lyu, Kanyi Pu

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2017. 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
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  7. Covered Rutile-TiOPlants (Basel, Switzerland) · 2023
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. The Challenges of OInternational journal of molecular sciences · 2022
    Review
  13. Review
  14. Highly Thermally Conductive Adhesion Elastomer Enhanced by Vertically Aligned Folded Graphene.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  15. Article
  16. Article
  17. A HNature communications · 2021
    Article
  18. Review
  19. Article
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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

2 authors.

Yan LyuSchool of Chemical and Biomedical Engineering Nanyang Technological University 70 Nanyang Drive Singapore 637457.
Kanyi PuSchool of Chemical and Biomedical Engineering Nanyang Technological University 70 Nanyang Drive Singapore 637457.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular probes that change their signals in response to the target of interest have a critical role in fundamental biology and medicine. Semiconducting polymer nanoparticles (SPNs) have recently emerged as a new generation of purely organic photonic nanoagents with desirable properties for biological applications. In particular, tunable optical properties of SPNs allow them to be developed into photoluminescence, chemiluminescence, and photoacoustic probes, wherein SPNs usually serve as the energy donor and internal reference for luminescence and photoacoustic probes, respectively. Moreover, facile surface modification and intraparticle engineering provide the versatility to make them responsive to various biologically and pathologically important substances and indexes including small-molecule mediators, proteins, pH and temperature. This article focuses on recent advances in the development of SPN-based activatable molecular probes for sensing and imaging. The designs and applications of these probes are discussed in details, and the present challenges to further advance them into life science are also analyzed.

Indexed as

activatable probesnanoparticlesphotoacoustic imagingsemiconducting polymerssensing

Identifiers

PMID28638783
PMCPMC5473328

What OpenQuestion holds

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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.