Evidence map›Paper›PMID 39870637›Full record

ArticleNature communications2025

Tailorable biosensors for real-time monitoring of stress distribution in soft biomaterials and living tissues.

Fenghou Yuan, Huitang Qi, Binghui Song, Yuntian Cui, Junsheng Zhang, Huan Liu, Bo Liu, Hai Lei, Tian Liu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Drop-Shaped Optical Microfiber Enabled Biomechanical Sensor.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. 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

9 authors.

Fenghou YuanMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, China.
Huitang QiMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, China.
Binghui SongMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, China.
Yuntian CuiMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, China.
Junsheng ZhangSchool of Chemistry and Chemical Engineering, Ningxia University, Yinchuan, China.
Huan LiuMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, China.
Bo LiuSchool of Biomedical Engineering, Liaoning Key Lab of Integrated Circuit and Bio-medical Electronic System, Dalian University of Technology, Dalian, China.ORCID http://orcid.org/0000-0002-5375-0505
Hai LeiSchool of Physics, Institute for Advanced Study in Physics, Zhejiang University, Hangzhou, China. leihai@zju.edu.cn.ORCID http://orcid.org/0000-0001-9089-0841
Tian LiuMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, China. tianliu@dlut.edu.cn.ORCID http://orcid.org/0000-0001-9768-5496

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32170502National Natural Science Foundation of China (National Science Foundation of China) T2222019
6 · The paper itself

Abstract

Visualizing mechanical stress distribution in soft and live biomaterials is essential for understanding biological processes and improving material design. However, it remains challenging due to their complexity, dynamic nature, and sensitivity requirements, necessitating innovative techniques. Since polysaccharides are common in various biomaterials, a biosensor integrating a Förster resonance energy transfer (FRET)-based tension sensor module and carbohydrate-binding modules (FTSM-CBM) has been designed for real-time monitoring of the stress distribution of these biomaterials. By simple dripping or soaking, FTSM-CBM enables fast, reproducible and semiquantitative detection of both 2D and 3D stress distributions in polysaccharide-based hydrogels. Additionally, it provides valuable information such as microstructure hints and fracture site warnings. FTSM-CBM can also monitor the locomotion of maggots, which is not feasible with most existing techniques. Furthermore, by changing the CBM, FTSM-CBM can be expanded for various polysaccharide-based biomaterials. This study provides a powerful tool that may promote related research in life and materials science.

Indexed as

Biocompatible MaterialsBiosensing TechniquesStress, MechanicalAnimalsFluorescence Resonance Energy TransferHydrogelsPolysaccharidesBiocompatible MaterialsHydrogelsPolysaccharides

Identifiers

PMID39870637
PMCPMC11772616

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.