Evidence map›Paper›PMID 40916927›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

All-In-One Iontronic Sensing Aligner for High-Precision 3D Orthodontic Force Monitoring.

Jiahao Guo, Qin Niu, Jilei Xu, Liyan Wang, Xiangyang Wang, Jiangdong Gong, Hanfei Zhu, Ruojiang Wang, Yu Chang, Tingrui Pan and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. All-In-One Iontronic Sensing Aligner for High-Precision 3D Orthodontic Force Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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

11 authors.

Jiahao GuoSchool of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230026, China.ORCID https://orcid.org/0009-0006-6390-8827
Qin NiuDepartment of Orthodontics, National Center for Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, NHC Key Laboratory of Digital Stomatology, NMPA Key Laboratory for Dental Materials, Peking University School and Hospital of Stomatology, No.22, Zhongguancun South Avenue, Haidian, Beijing, 100081, China.
Jilei XuSchool of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Liyan WangSchool of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Xiangyang WangSchool of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Jiangdong GongSchool of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Hanfei ZhuSchool of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Ruojiang WangSchool of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Yu ChangSchool of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230026, China.ORCID https://orcid.org/0000-0002-9220-2974
Tingrui PanSchool of Biomedical Engineering, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Si ChenDepartment of Orthodontics, National Center for Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, NHC Key Laboratory of Digital Stomatology, NMPA Key Laboratory for Dental Materials, Peking University School and Hospital of Stomatology, No.22, Zhongguancun South Avenue, Haidian, Beijing, 100081, China.

Funding

Beijing Natural Science Foundation L232108China Postdoctoral Science Foundation 2024M763177Innovation &Entrepreneurship leader program of Suzhou ZXL2023153National Key R&D Program of China 2022YFB3204800National Natural Science Foundation of China 62401536Natural Science Foundation of Shenzhen JCYJ20220818101207017
6 · The paper itself

Abstract

Clear aligners offer aesthetic and comfort advantages in orthodontics, yet their ability to deliver effective forces relies heavily on empirical judgment or large-scale optical scanning, lacking real-time quantitative evaluation. Integrating pressure sensors into aligners is a promising solution, but challenges in miniaturization, multi-dimensional sensing, measurement accuracy, and biocompatibility hinder clinical application. Here, an all-in-one Orthodontic Force Acquisition System (OFAS) is presented that enables real-time, 3D force monitoring using a cross-shaped iontronic sensing array and an origami-inspired, wireless battery-free readout circuit miniaturized for single-tooth placement. The system employs a cross-linked polyelectrolyte with low creep and high repeatability, achieving 1.14% measurement accuracy. A 15-day in vivo study demonstrates that OFAS accurately captured dynamic force profiles with strong correlation to tooth displacement (R

Indexed as

OrthodonticsTooth Movement TechniquesHumansclear alignerconformal integrationiontronic sensingorthodontic force measurementtooth movement

Identifiers

PMID40916927
PMCPMC12631939

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.