Evidence map›Paper›PMID 40718805›Full record

ArticleAdvanced fiber materials2025

Adaptive Printing of Conductive Microfibers for Seamless Functional Enhancement Across Diverse Surfaces and Shapes.

Stanley Gong Sheng Ka, Wenyu Wang, Henry Giddens, Zhuo Chen, Ahsan Noor Khan, Yuan Shui, Andre Sarker Andy, Shuyu Lyu, Tawfique Hasan, Yang Hao and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced fiber materials, 2025. 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
0cells of the map it votes in
0citing 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

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

11 authors.

Stanley Gong Sheng Ka *Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ UK.
Wenyu Wang *Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ UK.
Henry GiddensSchool of Electronic Engineering and Computer Science, Queen Mary University of London, 10 Godward Square, London, E1 4FZ UK.
Zhuo ChenCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Ave., Cambridge, CB3 0FA UK.
Ahsan Noor KhanSchool of Electronic Engineering and Computer Science, Queen Mary University of London, 10 Godward Square, London, E1 4FZ UK.
Yuan ShuiDepartment of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ UK.
Andre Sarker AndySchool of Electronic Engineering and Computer Science, Queen Mary University of London, 10 Godward Square, London, E1 4FZ UK.
Shuyu LyuDepartment of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ UK.
Tawfique HasanCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Ave., Cambridge, CB3 0FA UK.
Yang HaoSchool of Electronic Engineering and Computer Science, Queen Mary University of London, 10 Godward Square, London, E1 4FZ UK.
Yan Yan Shery HuangDepartment of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ UK.ORCID 0000-0003-2619-730X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing methods to non-destructively deposit conductive materials onto existing objects can enhance their functionalities on-demand. However, designing and creating such structures to accommodate diverse shapes and surface textures of pre-fabricated objects remains challenging. We report an on-demand printing strategy for creating substrate-less, conducting microfiber patterns that can be adaptively deposited onto a wide range of objects, including daily-use stationery, tools, smartwatches, and unconventional materials like porous graphene aerogels. Solution-drawn microfibers are directly deposited onto the object in a semi-wet state upon synthesis, enabling seamless fiber-object integration in a single step. The design and format of the microfiber patterns can be tuned on-demand to adapt to the shapes and surface textures of target objects, ensuring compatibility with user-specific applications. These air-permissive, highly transparent layers minimally obstruct the original appearance and functions of the objects while equipping them with additional sensing, energy conversion, and electronic connectivity capabilities. Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s42765-025-00561-6.

Indexed as

CustomizationFiberFiber-of-things (FoT)FunctionalizationSensorTransient electronics

Identifiers

PMID40718805
PMCPMC12287195

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.