Evidence map›Paper›PMID 41613226›Full record

ArticleRSC advances2026

Tailorable conductivity of 3D PEDOT-based conductive nanostructures with pH-responsivity

Qingbin Zhou, Yucheng Long, Shichao Song, Zilan Deng, Xiangping Li, Yaoyu Cao

Abstract read
In one paragraph

Article in RSC advances, 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
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0citing papers in PubMed
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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

6 authors.

Qingbin ZhouInstitute of Photonic Technology, College of Physics and Optoelectronic Engineering, Jinan University Guangzhou Guangdong 510632 China songsc@jnu.edu.cn yaoyucao@jnu.edu.cn.
Yucheng LongInstitute of Photonic Technology, College of Physics and Optoelectronic Engineering, Jinan University Guangzhou Guangdong 510632 China songsc@jnu.edu.cn yaoyucao@jnu.edu.cn.
Shichao SongInstitute of Photonic Technology, College of Physics and Optoelectronic Engineering, Jinan University Guangzhou Guangdong 510632 China songsc@jnu.edu.cn yaoyucao@jnu.edu.cn.ORCID https://orcid.org/0000-0003-0394-7980
Zilan DengInstitute of Photonic Technology, College of Physics and Optoelectronic Engineering, Jinan University Guangzhou Guangdong 510632 China songsc@jnu.edu.cn yaoyucao@jnu.edu.cn.ORCID https://orcid.org/0000-0003-3861-6014
Xiangping LiInstitute of Photonic Technology, College of Physics and Optoelectronic Engineering, Jinan University Guangzhou Guangdong 510632 China songsc@jnu.edu.cn yaoyucao@jnu.edu.cn.ORCID https://orcid.org/0000-0003-0955-2613
Yaoyu CaoInstitute of Photonic Technology, College of Physics and Optoelectronic Engineering, Jinan University Guangzhou Guangdong 510632 China songsc@jnu.edu.cn yaoyucao@jnu.edu.cn.ORCID https://orcid.org/0000-0003-1530-2346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although conductive polymers such as poly(3,4-ethylenedioxythiophene) (PEDOT) are pivotal for flexible organic electronics, achieving tunable conductivity in high-resolution micro/nanoarchitectures remains a significant challenge. Conventional methods like inkjet writing and laser ablation not only offer limited resolution but also fail to provide the dynamic conductivity control required for advanced applications. To address these challenges, we developed a two-step nanofabrication strategy to produce PEDOT-based nanoarchitectures with tunable conductivities. A femtosecond direct laser writing technique was utilized to firstly create 3,4-ethylenedioxythiophene (EDOT)-based pH responsive nanostructures, and subsequently chemical oxidation was employed to convert EDOT-based nanostructures into conductive PEDOT-based ones, which enabled high-resolution conductive nanostructures with feature sizes as small as 250 nm and conductivity of 679 S m

Identifiers

PMID41613226
PMCPMC12848884

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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.