Evidence map›Paper›PMID 35371413›Full record

ArticleNano research2022

Highly sensitive, scalable, and rapid SARS-CoV-2 biosensor based on In

Mingrui Chen, Dingzhou Cui, Zhiyuan Zhao, Di Kang, Zhen Li, Shahad Albawardi, Shahla Alsageer, Faisal Alamri, Abrar Alhazmi, Moh R Amer and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Nano research, 2022. 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
2.8field-weighted citation impact, top 8% 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, 29 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

11 authors at 2 institutions in 2 countries.

Mingrui Chen *Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089 USA.
Dingzhou Cui *Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089 USA.
Zhiyuan ZhaoMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089 USA.
Di KangeDNA Biotech, Pasadena, California 91107 USA.
Zhen LiDepartment of Physics and Astronomy, University of Southern California, Los Angeles, California 90089 USA.
Shahad AlbawardiCenter of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
Shahla AlsageerCenter of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
Faisal AlamriCenter of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
Abrar AlhazmiCenter of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
Moh R AmerCenter of Excellence for Green Nanotechnologies, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
Chongwu ZhouMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089 USA.
King Abdulaziz City for Science and Technology · SAUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing convenient and accurate SARS-CoV-2 antigen test and serology test is crucial in curbing the global COVID-19 pandemic. In this work, we report an improved indium oxide (In Electronic Supplementary Material: Supplementary material (materials and methods for device fabrication, functionalization of In

Indexed as

biosensorindium oxide transistorphosphataseSARS-CoV-2 spike IgG antibodySARS-CoV-2 spike protein

Identifiers

PMID35371413
PMCPMC8959552
OpenAlexW4220800576

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.