Evidence map›Paper›PMID 36671972›Full record

ReviewBiosensors2023

Semiconducting Polymer Dots for Point-of-Care Biosensing and In Vivo Bioimaging: A Concise Review.

Sile Deng, Lingfeng Li, Jiaxi Zhang, Yongjun Wang, Zhongchao Huang, Haobin Chen

Abstract readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. 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

6 authors.

Sile DengDepartment of Biomedical Engineering, School of Basic Medical Sciences, Central South University, Changsha 410013, China.
Lingfeng LiDepartment of Biomedical Engineering, School of Basic Medical Sciences, Central South University, Changsha 410013, China.
Jiaxi ZhangDepartment of Biomedical Engineering, School of Basic Medical Sciences, Central South University, Changsha 410013, China.
Yongjun WangDepartment of Biomedical Engineering, School of Basic Medical Sciences, Central South University, Changsha 410013, China.ORCID 0000-0001-7188-8260
Zhongchao HuangDepartment of Biomedical Engineering, School of Basic Medical Sciences, Central South University, Changsha 410013, China.
Haobin ChenDepartment of Biomedical Engineering, School of Basic Medical Sciences, Central South University, Changsha 410013, China.ORCID 0000-0003-3111-9824

Funding

National Natural Science Foundation of China 82202296
6 · The paper itself

Abstract

In recent years, semiconducting polymer dots (Pdots) have attracted much attention due to their excellent photophysical properties and applicability, such as large absorption cross section, high brightness, tunable fluorescence emission, excellent photostability, good biocompatibility, facile modification and regulation. Therefore, Pdots have been widely used in various types of sensing and imaging in biological medicine. More importantly, the recent development of Pdots for point-of-care biosensing and in vivo imaging has emerged as a promising class of optical diagnostic technologies for clinical applications. In this review, we briefly outline strategies for the preparation and modification of Pdots and summarize the recent progress in the development of Pdots-based optical probes for analytical detection and biomedical imaging. Finally, challenges and future developments of Pdots for biomedical applications are given.

Indexed as

PolymersSemiconductorsFluorescenceFluorescent DyesPoint-of-Care SystemsFluorescent DyesPolymersbiosensorsfluorescent probesmolecular imagingpolymer dotssemiconducting polymers

Identifiers

PMID36671972
PMCPMC9855952

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.