Evidence map›Paper›PMID 33823464›Full record

ArticleBiosensors & bioelectronics2021

Rapid and unamplified identification of COVID-19 with morpholino-modified graphene field-effect transistor nanosensor.

Jiahao Li, Ding Wu, Yi Yu, Tingxian Li, Kun Li, Meng-Meng Xiao, Yirong Li, Zhi-Yong Zhang, Guo-Jun Zhang

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
11.2field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 190 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  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. Article
  10. Review
  11. Review
  12. 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
  13. Article
  14. Article
  15. Review
  16. Recent progress on rapid diagnosis of COVID-19 by point-of-care testing platforms.Chinese chemical letters = Zhongguo hua xue kuai bao · 2023
    Review
  17. Review
  18. Article
  19. Review
  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

9 authors at 4 institutions in 1 country.

Jiahao LiSchool of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, PR China.
Ding WuDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, 169 East Lake Road, Wuhan, 430071, PR China.
Yi YuSchool of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, PR China.
Tingxian LiSchool of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, PR China.
Kun LiSchool of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, PR China.
Meng-Meng XiaoHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, PR China.
Yirong LiDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, 169 East Lake Road, Wuhan, 430071, PR China. Electronic address: liyirong838@163.com.
Zhi-Yong ZhangHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, PR China. Electronic address: zyzhang@pku.edu.cn.
Guo-Jun ZhangSchool of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, PR China. Electronic address: zhanggj@hbtcm.edu.cn.
Hubei University of Chinese Medicine · CNWuhan University · CNHunan Institute of Engineering · CNHunan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 RNA is identified as a pivotal player to bolster energizing zones of COVID-19 detection. Herein, we develop a rapid and unamplified nanosensing platform for detection of SARS-CoV-2 RNA in human throat swab specimens. A gold nanoparticle (AuNP)-decorated graphene field-effect transistor (G-FET) sensor was fabricated, after which complementary phosphorodiamidate morpholino oligos (PMO) probe was immobilized on the AuNP surface. This sensor allowed for highly sensitive testing of SARS-CoV-2 RdRp as PMO does not have charges, leading to low background signal. Not only did the method present a low limit of detection in PBS (0.37 fM), throat swab (2.29 fM), and serum (3.99 fM), but also it achieved a rapid response to COVID-19 patients' samples within 2 min. The developed nanosensor was capable of analyzing RNA extracts from 30 real clinical samples. The results show that the sensor could differentiate the healthy people from infected people, which are in high agreement with RT-PCR results (Kappa index = 0.92). Furthermore, a well-defined distinction between SARS-CoV-2 RdRp and SARS-CoV RdRp was also made. Therefore, we believe that this work provides a satisfactory, attractive option for COVID-19 diagnosis.

Indexed as

Biosensing TechniquesCOVID-19GraphiteMetal NanoparticlesCOVID-19 TestingGoldHumansLimit of DetectionMorpholinosRNA, ViralSARS-CoV-2Sensitivity and SpecificityGoldGraphiteMorpholinosRNA, ViralAmplification-freeDetectionFast responseField-effect transistorRdRpSARS-CoV-2

Identifiers

PMID33823464
PMCPMC8008786
OpenAlexW3141530029

What OpenQuestion holds

Textmetadata
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.