Evidence map›Paper›PMID 39705341›Full record

ArticleScience advances2024

Scalable integration of photoresponsive highly aligned nanochannels for self-powered ionic devices.

Yaxin Huang, Changjin Wu, Yingnan Cao, Jing Zheng, Binglin Zeng, Xiaofeng Li, Mingliang Li, Jinyao Tang

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Optoelectronic Nanofluidic Neural Networks for Ionic Computing.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  3. 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

8 authors.

Yaxin HuangDepartment of Chemistry, The University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0003-2626-9318
Changjin WuDepartment of Chemistry, The University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-9885-9128
Yingnan CaoDepartment of Chemistry, The University of Hong Kong, Hong Kong 999077, China.
Jing ZhengState Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.ORCID 0000-0001-5829-1152
Binglin ZengDepartment of Chemistry, The University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0002-7172-5557
Xiaofeng LiDepartment of Chemistry, The University of Hong Kong, Hong Kong 999077, China.
Mingliang LiDepartment of Chemistry, The University of Hong Kong, Hong Kong 999077, China.
Jinyao TangDepartment of Chemistry, The University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0002-0051-148X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial ionic nanochannels with light perception capabilities hold promise for creating ionic devices. Nevertheless, most research primarily focuses on regulating single nanochannels, leaving the cumulative effect of numerous nanochannels and their integration underexplored. We herein develop a biomimetic photoreceptor based on photoresponsive highly aligned nanochannels (pHANCs), which exhibit uniform channel heights, phototunable surface properties, and excellent compatibility with microfabrication techniques, enabling the scalable fabrication and integration into functional ionic devices. These pHANCs demonstrate exceptional ion selectivity and permeability due to the high surface charges and well-ordered conduits, resulting in outstanding energy harvesting from concentration gradients. Large-scale fabrication of pHANCs has been successfully realized, wherein hundreds of biomimetic photoreceptors produce an ultrahigh voltage over 76 volts, which has not been achieved previously. In addition, we demonstrate that the biomimetic photoreceptor can be further upscaled to be a self-powered ionic image sensor, capable of sensing and decoding incident light information.

Identifiers

PMID39705341
PMCPMC11661449

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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.