Evidence map›Paper›PMID 39613847›Full record

ArticleScientific reports2024

Development of green synthesised AgNPs decorated on MWCNT modified guar gum-based self-healing hydrogel for strain sensors.

Aamir Khan, Nichakan Nichakornpong, Tawan Wongsalam, Peerawat Prathumrat, Chutiwat Likitaporn, Pornnapa Kasemsiri, Manunya Okhawilai

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Smart Hydrogels in Wearable Electronics for Wound Treatments.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  2. Review
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

7 authors.

Aamir KhanNanoscience and Technology Interdisciplinary Program, Graduate School, Chulalongkorn University, Bangkok, 10330, Thailand.
Nichakan NichakornpongDepartment of Materials Science, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Tawan WongsalamMetallurgy and Materials Science Research Institute, Chulalongkorn University, Bangkok, 10330, Thailand.
Peerawat PrathumratMetallurgy and Materials Science Research Institute, Chulalongkorn University, Bangkok, 10330, Thailand.
Chutiwat LikitapornMetallurgy and Materials Science Research Institute, Chulalongkorn University, Bangkok, 10330, Thailand.
Pornnapa KasemsiriSustainable Infrastructure Research and Development Center, Department of Chemical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, 40002, Thailand.
Manunya OkhawilaiNanoscience and Technology Interdisciplinary Program, Graduate School, Chulalongkorn University, Bangkok, 10330, Thailand. Manunya.o@chula.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible conductive hydrogel strain sensors are gaining popularity due to their exceptional stretchability, sensitivity, and potential for wearable devices. However, their widespread use is hindered by significant issues, such as poor electrical conductivity and weak response time. To address these challenges, new hydrogels based on guar gum, borax, and glycerol have been fabricated via a green synthesis technique. These hydrogels were reinforced with functionalised multiwalled carbon nanotubes (f-MWCNTs) and silver nanoparticle decorated multiwalled carbon nanotubes (AgNP-MWCNTs). The resulting conductive hydrogels exhibited a self-healing capability of 83.2% and effective strain sensing with a gauge factor of 6.58. The incorporation of AgNP-MWCNTs significantly improved the electrical conductivity up to 3.05 ± 0.02 S m

Indexed as

AgNP-MWCNTsGreen synthesisHydrogelsSelf-healingStrain sensors

Identifiers

PMID39613847
PMCPMC11607411

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.