Evidence map›Paper›PMID 42601507›Full record

ArticleNature nanotechnology2026

Bioresorbable and optically readable triboelectric implants enabled by nanoscale iridophosphors.

Xiangchun Meng, Yong Hyun Kwon, Bojun Wang, Xiao Xiao, Jie Chen, Hyeon Mo, Yoojin Park, Sera Jeon, Eunbi Cho, Byung-Ok Choi and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature nanotechnology, 2026. 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. 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

13 authors.

Xiangchun Meng *Department of Materials Science and Engineering, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-0116-3154
Yong Hyun Kwon *Department of Materials Science and Engineering, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0005-8411-8309
Bojun Wang *Obscura Intelligence Lab, Obscura Intelligence Technology Co. Ltd, Hangzhou, People's Republic of China.ORCID http://orcid.org/0000-0002-7988-4608
Xiao XiaoDepartment of Materials Science and Engineering, Yonsei University, Seoul, Republic of Korea.
Jie ChenState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, People's Republic of China.ORCID http://orcid.org/0000-0002-5356-0453
Hyeon MoDepartment of Materials Science and Engineering, Yonsei University, Seoul, Republic of Korea.
Yoojin ParkDepartment of Materials Science and Engineering, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0005-3756-6619
Sera JeonDepartment of Materials Science and Engineering, Yonsei University, Seoul, Republic of Korea.
Eunbi ChoDepartment of Materials Science and Engineering, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0000-9720-6870
Byung-Ok ChoiDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Peng TaoDepartment of Chemistry and Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China. pengtao@polyu.edu.hk.ORCID http://orcid.org/0000-0003-1932-557X
Wai-Yeung WongDepartment of Chemistry and Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China. wai-yeung.wong@polyu.edu.hk.ORCID http://orcid.org/0000-0002-9949-7525
Sang-Woo KimDepartment of Materials Science and Engineering, Yonsei University, Seoul, Republic of Korea. kimsw1@yonsei.ac.kr.ORCID http://orcid.org/0000-0002-0079-5806

Funding

Hong Kong Polytechnic University (Hong Kong PolyU) PolyU 15301922National Natural Science Foundation of China (National Science Foundation of China) 61905120, P0035922National Research Foundation of Korea (NRF) RS-2022-NR070716, RS-2025-18362970, RS-2020-NR049541
6 · The paper itself

Abstract

Implantable bioelectronics are typically inaccessible once implanted, and therefore structural damage, degradation and functional loss often go undetected until complications arise. Reliance on batteries further exacerbates these risks by imposing limited lifetimes, leakage hazards and non-resorbable components that may require surgical removal. Here we report a battery-free, bioresorbable triboelectric implant that enables externally readable, on-demand visualization of device status while generating electrical output. A data-driven materials-to-device workflow combines machine-learning-assisted photophysical screening with molecular-dipole-moment-based selection to identify nanoscale iridium(III) complexes optimized for both optical reporting and triboelectric charge generation. The resulting devices integrate a transcutaneous phosphorescent readout with ultrasound-driven energy harvesting, producing outlines visible to the unaided eye under handheld illumination and generating up to 3.6 V

Identifiers

PMID42601507

What OpenQuestion holds

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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.