Evidence map›Paper›PMID 34834039›Full record

ArticleMolecules (Basel, Switzerland)2021

Ultrasensitive Detection of COVID-19 Causative Virus (SARS-CoV-2) Spike Protein Using Laser Induced Graphene Field-Effect Transistor.

Tian-Rui Cui, Yan-Cong Qiao, Jian-Wei Gao, Chun-Hua Wang, Yu Zhang, Lin Han, Yi Yang, Tian-Ling Ren

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

18 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. 2D Materials in Advanced Electronic Biosensors for Point-of-Care Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  7. Article
  8. Review
  9. Two-Dimensional (2D) materials in the detection of SARS-CoV-2.Microchemical journal : devoted to the application of microtechniques in all branches of science · 2023
    Article
  10. Article
  11. Batteryless wireless magnetostrictive FeSensors and actuators. A, Physical · 2023
    Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. 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 at 2 institutions in 1 country.

Tian-Rui CuiSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.ORCID 0000-0003-2425-5924
Yan-Cong QiaoSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Jian-Wei GaoInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.
Chun-Hua WangInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.
Yu ZhangInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.
Lin HanInstitute of Marine Science and Technology, Shandong University, Qingdao 266237, China.ORCID 0000-0003-0461-2031
Yi YangSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Tian-Ling RenSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Shandong University of Science and Technology · CNTsinghua University · CN

Funding

Beijing Innovation Center for Future Chip, Beijing Natural Science Foundation 4184091National Key R&D Program of China 2017YFB0405400National Key R&D Program of China 2018YFC2001202National Natural Science Foundation of China 51861145202National Natural Science Foundation of China 61434001National Natural Science Foundation of China 61574083National Natural Science Foundation of China 61874065National Natural Science Foundation of China U20A20168Natural Science Foundation for Distinguished Young Scientist of Shandong Province JQ201814Shenzhen Science and Technology Program JCYJ20150831192224146Tsinghua-Fuzhou Institute for Date Technology TFIDT2018008
6 · The paper itself

Abstract

COVID-19 is a highly contagious human infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the war with the virus is still underway. Since no specific drugs have been made available yet and there is an imbalance between supply and demand for vaccines, early diagnosis and isolation are essential to control the outbreak. Current nucleic acid testing methods require high sample quality and laboratory conditions, which cannot meet flexible applications. Here, we report a laser-induced graphene field-effect transistor (LIG-FET) for detecting SARS-CoV-2. The FET was manufactured by different reduction degree LIG, with an oyster reef-like porous graphene channel to enrich the binding point between the virus protein and sensing area. After immobilizing specific antibodies in the channel, the FET can detect the SARS-CoV-2 spike protein in 15 min at a concentration of 1 pg/mL in phosphate-buffered saline (PBS) and 1 ng/mL in human serum. In addition, the sensor shows great specificity to the spike protein of SARS-CoV-2. Our sensors can realize fast production for COVID-19 rapid testing, as each LIG-FET can be fabricated by a laser platform in seconds. It is the first time that LIG has realized a virus sensing FET without any sample pretreatment or labeling, which paves the way for low-cost and rapid detection of COVID-19.

Indexed as

Biosensing TechniquesClinical Laboratory TechniquesCOVID-19COVID-19 TestingGraphiteHumansLasersMicroscopy, ConfocalMicroscopy, Electron, ScanningSARS-CoV-2Spike Glycoprotein, CoronavirusTransistors, ElectronicGraphiteSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2biosensorCOVID-19flexible devicesLIG-FETSARS-CoV-2

Identifiers

PMID34834039
PMCPMC8621829
OpenAlexW3214212952

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.