Evidence map›Paper›PMID 40234325›Full record

ReviewDiscover nano2025

Hydrogen sensors based on polyaniline and its hybrid materials: a mini review.

Perizat Askar, Dana Kanzhigitova, Aslan Tapkharov, Kamshat Umbetova, Sagydat Duisenbekov, Salimgerey Adilov, Nurxat Nuraje

Abstract readReview
In one paragraph

Review in Discover nano, 2025. 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. Review
  2. 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

7 authors.

Perizat AskarDepartment of Chemical and Materials Engineering, School of Engineering and Digital Science, Nazarbayev University, 010000, Astana, Kazakhstan.
Dana KanzhigitovaDepartment of Chemical and Materials Engineering, School of Engineering and Digital Science, Nazarbayev University, 010000, Astana, Kazakhstan.
Aslan TapkharovDepartment of Chemistry, School of Sciences and Humanities, Nazarbayev University, 010000, Astana, Kazakhstan.
Kamshat UmbetovaSchool of Chemical Engineering, Kazakh-British Technical University, 050000, Almaty, Kazakhstan.
Sagydat DuisenbekovDepartment of Chemical and Materials Engineering, School of Engineering and Digital Science, Nazarbayev University, 010000, Astana, Kazakhstan.
Salimgerey AdilovDepartment of Chemistry, School of Sciences and Humanities, Nazarbayev University, 010000, Astana, Kazakhstan.
Nurxat NurajeDepartment of Chemical and Materials Engineering, School of Engineering and Digital Science, Nazarbayev University, 010000, Astana, Kazakhstan. nurxat.nuraje@nu.edu.kz.

Funding

Ministry of Education and Science of the Republic of Kazakhstan BR21882439Nazarbayev University 20122022FD4114
6 · The paper itself

Abstract

This mini-review examines the potential of polyaniline (PANI) composites in hydrogen sensing applications, emphasizing the mechanisms underlying PANI-hydrogen interactions. It highlights the properties and synthesis methods of different nanostructured pure PANI, PANI-carbon-based composites, and PANI-metal oxide-based composites, emphasizing approaches and PANI's hydrogen sensing performance. The review explores the electrical and morphological properties of PANI and different hybrid materials' nanocomposites, focusing on their enhanced sensitivity in hydrogen detection. Additionally, it addresses challenges such as poor solubility and low thermal stability, while outlining future research directions to advance this critical field.

Indexed as

Conducting polymerHydrogen sensorNanomaterialsPolyaniline

Identifiers

PMID40234325
PMCPMC12000493

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.