Evidence map›Paper›PMID 31057821›Full record

ArticleMicrosystems & nanoengineering2016

Chemical-sensitive graphene modulator with a memory effect for internet-of-things applications.

Haiyu Huang, Li Tao, Fei Liu, Li Ji, Ye Hu, Mark Ming-Cheng Cheng, Pai-Yen Chen, Deji Akinwande

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Revealing operando surface defect-dependent electrocatalytic performance of Pt at the subparticle level.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Review
  5. Review on Recent Advances and Applications of Passive Harmonic RFID Systems.IEEE journal of radio frequency identification · 2023
    Article
  6. 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

8 authors.

Haiyu HuangDepartment of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX 78712, USA.
Li TaoDepartment of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX 78712, USA.
Fei LiuSchool of Medicine, Stanford University, Stanford, CA 94305, USA.
Li JiDepartment of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX 78712, USA.
Ye HuHouston Methodist Hospital Research Institute, Houston, TX 77030, USA.
Mark Ming-Cheng ChengDepartment of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA.
Pai-Yen ChenDepartment of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA.
Deji AkinwandeDepartment of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX 78712, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern internet of things (IoTs) and ubiquitous sensor networks could potentially take advantage of chemically sensitive nanomaterials and nanostructures. However, their heterogeneous integration with other electronic modules on a networked sensor node, such as silicon-based modulators and memories, is inherently challenging because of compatibility and integration issues. Here we report a novel paradigm for sensing modulators: a graphene field-effect transistor device that directly modulates a radio frequency (RF) electrical carrier signal when exposed to chemical agents, with a memory effect in its electrochemical history. We demonstrated the concept and implementation of this graphene-based sensing modulator through a frequency-modulation (FM) experiment conducted in a modulation cycle consisting of alternating phases of air exposure and ethanol or water treatment. In addition, we observed an analog memory effect in terms of the charge neutrality point of the graphene,

Indexed as

chemical sensing microsystemsCVD graphenegraphene field-effect sensorsinternet of nano-thingsmicrosensor networksRF and analog microdevices

Identifiers

PMID31057821
PMCPMC6444719

What OpenQuestion holds

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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.