Evidence map›Paper›PMID 37323463›Full record

ReviewRSC advances2023

Nano-biosensor for SARS-CoV-2/COVID-19 detection: methods, mechanism and interface design.

Yansheng Liu, Zhenle Qin, Jin Zhou, Xiaobo Jia, Hongli Li, Xiaohong Wang, Yating Chen, Zijun Sun, Xiong He, Hongda Li and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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

12 authors.

Yansheng LiuSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
Zhenle QinSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
Jin ZhouSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
Xiaobo JiaSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
Hongli LiSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
Xiaohong WangSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
Yating ChenSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
Zijun SunSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.ORCID https://orcid.org/0000-0002-3397-7032
Xiong HeSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
Hongda LiSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.ORCID https://orcid.org/0000-0002-6854-8369
Guofu WangSchool of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China.
Haixin ChangQuantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China.ORCID https://orcid.org/0000-0001-9621-4457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemic of coronavirus disease 2019 (COVID-19) was a huge disaster to human society. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which led to COVID-19, has resulted in a large number of deaths. Even though the reverse transcription-polymerase chain reaction (RT-PCR) is the most efficient method for the detection of SARS-CoV-2, the disadvantages (such as long detection time, professional operators, expensive instruments, and laboratory equipment) limit its application. In this review, the different kinds of nano-biosensors based on surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), field-effect transistor (FET), fluorescence methods, and electrochemical methods are summarized, starting with a concise description of their sensing mechanism. The different bioprobes (such as ACE2, S protein-antibody, IgG antibody, IgM antibody, and SARS-CoV-2 DNA probes) with different bio-principles are introduced. The key structural components of the biosensors are briefly introduced to give readers an understanding of the principles behind the testing methods. In particular, SARS-CoV-2-related RNA mutation detection and its challenges are also briefly described. We hope that this review will encourage readers with different research backgrounds to design SARS-CoV-2 nano-biosensors with high selectivity and sensitivity.

Identifiers

PMID37323463
PMCPMC10262965

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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.