Evidence map›Paper›PMID 34832840›Full record

ReviewMicromachines2021

Recent Advances and Challenges of Nanomaterials-Based Hydrogen Sensors.

Bei Wang, Ling Sun, Martin Schneider-Ramelow, Klaus-Dieter Lang, Ha-Duong Ngo

Abstract readReview
In one paragraph

Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Characterization and Modeling of a Pt-InSensors (Basel, Switzerland) · 2022
    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

5 authors.

Bei WangDepartment of Microsystem Technology, University of Applied Sciences Berlin, 12459 Berlin, Germany.ORCID 0000-0003-4329-7396
Ling SunDepartment of Mathematics, Free University Berlin, 14195 Berlin, Germany.
Martin Schneider-RamelowFraunhofer Institute for Reliability and Microintegration IZM, 13355 Berlin, Germany.
Klaus-Dieter LangFraunhofer Institute for Reliability and Microintegration IZM, 13355 Berlin, Germany.
Ha-Duong NgoDepartment of Microsystem Technology, University of Applied Sciences Berlin, 12459 Berlin, Germany.ORCID 0000-0002-0294-537X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safety is a crucial issue in hydrogen energy applications due to the unique properties of hydrogen. Accordingly, a suitable hydrogen sensor for leakage detection must have at least high sensitivity and selectivity, rapid response/recovery, low power consumption and stable functionality, which requires further improvements on the available hydrogen sensors. In recent years, the mature development of nanomaterials engineering technologies, which facilitate the synthesis and modification of various materials, has opened up many possibilities for improving hydrogen sensing performance. Current research of hydrogen detection sensors based on both conservational and innovative materials are introduced in this review. This work mainly focuses on three material categories, i.e., transition metals, metal oxide semiconductors, and graphene and its derivatives. Different hydrogen sensing mechanisms, such as resistive, capacitive, optical and surface acoustic wave-based sensors, are also presented, and their sensing performances and influence based on different nanostructures and material combinations are compared and discussed, respectively. This review is concluded with a brief outlook and future development trends.

Indexed as

catalytic sensinggraphenegraphene oxidehydrogen safetyhydrogen sensormetal oxide semiconductorsmicro and nanosensorsreduced graphene oxidetransition metals

Identifiers

PMID34832840
PMCPMC8626019

What OpenQuestion holds

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LicenceCC BY
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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.