Evidence map›Paper›PMID 42011401›Full record

ArticleiScience2026

Carbon nanotube fibers as high-fidelity sensors for carbon nanotube/polymer nanocomposites.

Sergei P Shadrov, Hassaan A Butt, Aliya R Vildanova, Ekaterina E Agafonova, Veronika A Dmitrieva, Vladislav A Kondrashov, Yaotian Yan, Junlei Qi, Zeyu Wang, Dmitry V Krasnikov and 2 more

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Article in iScience, 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
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

12 authors.

Sergei P ShadrovSkolkovo Institute of Science and Technology, Nobel 3, Moscow 121205, Russia.
Hassaan A ButtSkolkovo Institute of Science and Technology, Nobel 3, Moscow 121205, Russia.
Aliya R VildanovaSkolkovo Institute of Science and Technology, Nobel 3, Moscow 121205, Russia.
Ekaterina E AgafonovaSkolkovo Institute of Science and Technology, Nobel 3, Moscow 121205, Russia.
Veronika A DmitrievaSkolkovo Institute of Science and Technology, Nobel 3, Moscow 121205, Russia.
Vladislav A KondrashovSkolkovo Institute of Science and Technology, Nobel 3, Moscow 121205, Russia.
Yaotian YanState Key Laboratory of Precision Welding and Joining of Materials and Structures, Harbin Institute of Technology, Harbin 150001, China.
Junlei QiState Key Laboratory of Precision Welding and Joining of Materials and Structures, Harbin Institute of Technology, Harbin 150001, China.
Zeyu WangDepartment of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, China.
Dmitry V KrasnikovSkolkovo Institute of Science and Technology, Nobel 3, Moscow 121205, Russia.
Omid AkhavanDepartment of Physics, Sharif University of Technology, P.O. Box 11155-9161, Tehran, Islamic Republic of Iran.
Albert G NasibulinSkolkovo Institute of Science and Technology, Nobel 3, Moscow 121205, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon nanotube fibers (CNTFs) enable real-time dual-stage monitoring of CNT/epoxy nanocomposites via single-step embedding during manufacturing. Although highly sensitive, CNTF responses can be influenced by environmental and processing factors that introduce sensor artifacts and response lag. Here, we quantitatively assess, for the first time, the accuracy of CNTF sensing in multifunctional epoxy nanocomposites. CNTFs were fabricated via the wet-pulling of single-walled CNT (SWCNT) thin films (18, 39, and 59 nm thickness) and embedded in epoxy containing 0.005 and 0.5 wt. % single- and multiwalled CNTs (MWCNTs). Electrical measurements were conducted using 2- and 4-point techniques. CNTFs showed negligible measurement inaccuracy of less than 10

Indexed as

devicesmaterials characterizationmaterials science

Identifiers

PMID42011401
PMCPMC13092065

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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.