Evidence map›Paper›PMID 34901384›Full record

ArticleAdvanced materials technologies2021

Ultrasensitive Detection of Dopamine, IL-6 and SARS-CoV-2 Proteins on Crumpled Graphene FET Biosensor.

Michael Taeyoung Hwang, Insu Park, Mohammad Heiranian, Amir Taqieddin, Seungyong You, Vahid Faramarzi, Angela A Pak, Arend M van der Zande, Narayana R Aluru, Rashid Bashir

Abstract read
In one paragraph

Article in Advanced materials technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Recent Advances in Xenes Based FET for Biosensing Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  5. Review
  6. Article
  7. AlHeliyon · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
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  20. 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

10 authors.

Michael Taeyoung HwangDepartment of BioNano Technology Gachon University 1342 Seongnam-Daero, Sujeong-Gu Seongnam Gyeonggi 13120 Republic of Korea.ORCID https://orcid.org/0000-0003-1109-1836
Insu ParkMicro and Nanotechnology Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA.
Mohammad HeiranianDepartment of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA.
Amir TaqieddinDepartment of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA.
Seungyong YouMicro and Nanotechnology Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA.
Vahid FaramarziDepartment of Bioengineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA.
Angela A PakMaterials Research Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA.
Arend M van der ZandeDepartment of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA.
Narayana R AluruMaterials Research Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA.
Rashid BashirMicro and Nanotechnology Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA.ORCID https://orcid.org/0000-0002-7225-9180

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Universal platforms for biomolecular analysis using label-free sensing modalities can address important diagnostic challenges. Electrical field effect-sensors are an important class of devices that can enable point-of-care sensing by probing the charge in the biological entities. Use of crumpled graphene for this application is especially promising. It is previously reported that the limit of detection (LoD) on electrical field effect-based sensors using DNA molecules on the crumpled graphene FET (field-effect transistor) platform. Here, the crumpled graphene FET-based biosensing of important biomarkers including small molecules and proteins is reported. The performance of devices is systematically evaluated and optimized by studying the effect of the crumpling ratio on electrical double layer (EDL) formation and bandgap opening on the graphene. It is also shown that a small and electroneutral molecule dopamine can be captured by an aptamer and its conformation change induced electrical signal changes. Three kinds of proteins were captured with specific antibodies including interleukin-6 (IL-6) and two viral proteins. All tested biomarkers are detectable with the highest sensitivity reported on the electrical platform. Significantly, two COVID-19 related proteins, nucleocapsid (N-) and spike (S-) proteins antigens are successfully detected with extremely low LoDs. This electrical antigen tests can contribute to the challenge of rapid, point-of-care diagnostics.

Indexed as

COVID‐19 antigen testCOVID‐19 proteins detectioncrumpled graphene FET biosensordopamine detectionS‐ and N‐protein

Identifiers

PMID34901384
PMCPMC8646936

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.