Evidence map›Paper›PMID 41816622›Full record

ReviewChemical science2026

Deep excitation afterglow luminescent probes for biomedical applications.

Yiqian Hao, Yuxia Liu, Xi Liu, Siyue Ma, Chao Wang, Qing Miao, Linlin Wang, Pu Chen, Dongliang Su, Jonathan L Sessler and 3 more

Abstract readReview
In one paragraph

Review in Chemical science, 2026. 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

13 authors.

Yiqian HaoShaanxi Key Laboratory of Chemical Additives for Industry, College of Chemistry and Chemical Engineering, Shaanxi University of Science & Technology Xi'an 710021 China chenandguang@163.com liuyuxia2008@163.com.
Yuxia LiuShaanxi Key Laboratory of Chemical Additives for Industry, College of Chemistry and Chemical Engineering, Shaanxi University of Science & Technology Xi'an 710021 China chenandguang@163.com liuyuxia2008@163.com.ORCID https://orcid.org/0000-0003-1139-8563
Xi LiuDepartment of Chemistry, University of Bath Bath BA2 7AY UK t.d.james@bath.ac.uk xizai901226@163.com.
Siyue MaShaanxi Key Laboratory of Chemical Additives for Industry, College of Chemistry and Chemical Engineering, Shaanxi University of Science & Technology Xi'an 710021 China chenandguang@163.com liuyuxia2008@163.com.
Chao WangShaanxi Key Laboratory of Chemical Additives for Industry, College of Chemistry and Chemical Engineering, Shaanxi University of Science & Technology Xi'an 710021 China chenandguang@163.com liuyuxia2008@163.com.ORCID https://orcid.org/0000-0002-0216-2965
Qing MiaoShaanxi Key Laboratory of Chemical Additives for Industry, College of Chemistry and Chemical Engineering, Shaanxi University of Science & Technology Xi'an 710021 China chenandguang@163.com liuyuxia2008@163.com.
Linlin WangShaanxi Key Laboratory of Chemical Additives for Industry, College of Chemistry and Chemical Engineering, Shaanxi University of Science & Technology Xi'an 710021 China chenandguang@163.com liuyuxia2008@163.com.
Pu ChenNingbo Key Laboratory of All-Solid-State Battery, Eastern Institute for Advanced Study, Eastern Institute of Technology Ningbo 315200 China puchen@eitech.edu.cn.ORCID https://orcid.org/0000-0002-6706-8291
Dongliang SuYimingtai Biotechnology Co., Ltd No. 507 Binhe Avenue, Development Zone Taian 271200 China.
Jonathan L SesslerDepartment of Chemistry, The University of Texas at Austin Texas 78712-1224 USA sessler@cm.utexas.edu.ORCID https://orcid.org/0000-0002-9576-1325
Bo TangCollege of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University Jinan 250014 China tangb@sdnu.edu.cn.ORCID https://orcid.org/0000-0002-8712-7025
Tony D JamesDepartment of Chemistry, University of Bath Bath BA2 7AY UK t.d.james@bath.ac.uk xizai901226@163.com.ORCID https://orcid.org/0000-0002-4095-2191
Guang ChenShaanxi Key Laboratory of Chemical Additives for Industry, College of Chemistry and Chemical Engineering, Shaanxi University of Science & Technology Xi'an 710021 China chenandguang@163.com liuyuxia2008@163.com.ORCID https://orcid.org/0000-0002-0454-1686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to the high sensitivity, excellent spatio-temporal resolution and powerful real-time imaging capabilities, biomedical applications impose high demands on imaging techniques. Unfortunately, conventional imaging relies on the real-time excitation and suffers from limited tissue penetration. In contrast, afterglow imaging can provide continuous and deep luminescence once the probe is excited by NIR-light, X-ray or ultrasound. As such, it can effectively avoid autofluorescence and improve the imaging sensitivity and signal-to-background ratio. Moreover, X-ray-activated afterglow probes benefit from enhanced depth of penetration, thereby allowing more effective imaging of deep-seated lesions. Such advantages have attracted the interest of researchers, which should speed up the translation of biomedical afterglow research for clinical applications. With this perspective, we provided a comparative and analytical summary of the latest advances while highlighting the most promising afterglow probes. This perspective also outlines forward-looking strategies for molecular design, working mechanisms, and clinical prospects. Moreover, future challenges and research directions are discussed. As such this perspective describes how to formulate the most promising chemical strategies through mechanistic understanding, molecular design, and functional integration, thereby maximizing the successful development of clinical probes for visualization in humans.

Identifiers

PMID41816622
PMCPMC12973314

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Registered trials

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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.