Evidence map›Paper›PMID 41766163›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Metal-Free Submicron-Hollow-Fiber Conjugated Polymer Sponges for Efficient Pollutant Removal and Thermal Insulation.

Songah Jeong, Hyungwoo Kim

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

2 authors.

Songah JeongSchool of Polymer Science and Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, Republic of Korea.
Hyungwoo KimSchool of Polymer Science and Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, Republic of Korea.ORCID https://orcid.org/0000-0003-1958-3587

Funding

Gwangju Metropolitan Government, Republic of Korea 2025-RISE-05-011Korea government (MSIT) 2020R1A5A8018367Ministry of Education RS-2025-25404226Ministry of Education (MOE)
6 · The paper itself

Abstract

Inspired by naturally occurring tubular structures, hollow fibers offer unique advantages for a wide range of contemporary applications, such as a high surface-area-to-volume ratio, a low density, and directional mass transport. Although polymeric materials, including conjugated polymer networks, have shown promise for the fabrication of these architectures, their synthesis typically lacks design modularity and often requires sacrificial templates or metal catalysts, limiting their overall sustainability. In this study, we present a new molecular design strategy for metal-free conjugated hollow fibers that can self-assemble into a spongy monolith. Selected monomers undergo rapid Chichibabin-type condensation to form fully conjugated aromatic networks, which simultaneously self-assemble into uniform submicron hollow fibers that, in turn, become entangled to form monoliths. This transformation occurs via single-step, one-pot synthesis without the need for metals, templates, or post-processing. The designed sponge exhibits efficient light absorption, a high surface area, and excellent mass transfer, allowing it to be employed for multiple functions, including oil absorption, the photocatalytic decolorization of dyes, the capture of gas-phase iodine, and thermal insulation. This bottom-up design represents a versatile and sustainable platform for the engineering of hollow-fiber-based materials with broad utility for energy, environmental, and biomedical applications.

Indexed as

hollow fibersiodine capturepolymersself‐assemblysponges

Identifiers

PMID41766163
PMCPMC13114531

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.