Evidence map›Paper›PMID 33592725›Full record

ReviewTalanta2021

Current methods and prospects of coronavirus detection.

Jiaqi Bu, Zhiwei Deng, Hui Liu, Jiacheng Li, De Wang, Yanjing Yang, Shian Zhong

Open access · greenAbstract readReview
In one paragraph

Review in Talanta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Jiaqi BuCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China.
Zhiwei DengCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China.
Hui LiuCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China.
Jiacheng LiCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China.
De WangCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China.
Yanjing YangCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China. Electronic address: yangyanjing@csu.edu.cn.
Shian ZhongCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China. Electronic address: zhongshian@aliyun.com.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-COV-2 is a novel coronavirus discovered in Wuhan in December 30, 2019, and is a family of SARS-COV (severe acute respiratory syndrome coronavirus), that is, coronavirus family. After infection with SARS-COV-2, patients often experience fever, cough, gas prostration, dyspnea and other symptoms, which can lead to severe acute respiratory syndrome (SARS), kidney failure and even death. The SARS-COV-2 virus is particularly infectious and has led to a global infection crisis, with an explosion in the number of infections. Therefore, rapid and accurate detection of the virus plays a vital role. At present, many detection methods are limited in their wide application due to their defects such as high preparation cost, poor stability and complex operation process. Moreover, some methods need to be operated by professional medical staff, which can easily lead to infection. In order to overcome these problems, a Surface molecular imprinting technology (SM-MIT) is proposed for the first time to detect SARS-COV-2 virus. For this SM-MIT method, this review provides detailed detection principles and steps. In addition, this method not only has the advantages of low cost, high stability and good specificity, but also can detect whether it is infected at designated points. Therefore, we think SM-MIT may have great potential in the detection of SARS-COV-2 virus.

Indexed as

Molecular ImprintingCOVID-19HumansMagnetite NanoparticlesMicrospheresOvalbuminPolymersSARS-CoV-2Sensitivity and SpecificityViral ProteinsMagnetite NanoparticlesOvalbuminPolymersViral ProteinsCoronavirusDetectionSARS-COV-2SM-MIT

Identifiers

PMID33592725
PMCPMC7833523
OpenAlexW3119996482

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.