Evidence map›Paper›PMID 40942360›Full record

ReviewMaterials (Basel, Switzerland)2025

Research Progress of Persistent Luminescence Nanoparticles in Biological Detection Imaging and Medical Treatment.

Kunqiang Deng, Kunfeng Chen, Sai Huang, Jinkai Li, Zongming Liu

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kunqiang DengSchool of Material Science and Engineering, University of Jinan, Jinan 250022, China.
Kunfeng ChenState Key Laboratory of Crystal Materials, Institute of Novel Semiconductors, Shandong University, Jinan 250100, China.ORCID 0000-0001-9253-1885
Sai HuangSchool of Material Science and Engineering, University of Jinan, Jinan 250022, China.
Jinkai LiSchool of Material Science and Engineering, University of Jinan, Jinan 250022, China.ORCID 0000-0003-4028-838X
Zongming LiuSchool of Material Science and Engineering, University of Jinan, Jinan 250022, China.

Funding

the "New Universities 20" Foundation of Jinan 2021GXRCO99the "New Universities 20" Foundation of Jinan T202204
6 · The paper itself

Abstract

Persistent luminescence nanoparticles (PLNPs) represent a unique class of optical materials. They possess the ability to absorb and store energy from external excitation sources and emit light persistently once excitation terminates. Because of this distinctive property, PLNPs have attracted considerable attention in various areas. Especially in recent years, PLNPs have revealed marked benefits and extensive application potential in fields such as biological detection, imaging, targeted delivery, as well as integrated diagnosis and treatment. Not only do they potently attenuate autofluorescence interference arising from biological tissues, but they also demonstrate superior signal-to-noise ratio and sensitivity in in vivo imaging scenarios. Therefore, regarding the current research, this paper firstly introduces the classification, synthesis methods, and luminescence mechanism of the materials. Subsequently, the research progress of PLNPs in biological detection and imaging and medical treatment in recent years is reviewed. The challenges faced by materials in biomedical applications and the outlook of future development trends are further discussed, which delivers an innovative thought pattern for developing and designing new PLNPs to cater to more practical requirements.

Indexed as

bioimagingbiological detectionmedical treatmentpersistent luminescent nanoparticles

Identifiers

PMID40942360
PMCPMC12429669

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.