Evidence map›Paper›PMID 32838127›Full record

ArticleAdvanced theory and simulations2020

Investigation of Plasmonic Detection of Human Respiratory Virus.

Chandreyee Manas Das, Yan Guo, Lixing Kang, Ho-Pui Ho, Ken-Tye Yong

Open access · bronzeAbstract read
In one paragraph

Article in Advanced theory and simulations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 22 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

5 authors at 3 institutions in 3 countries.

Chandreyee Manas DasCINTRA CNRS/NTU/THALES, UMI 3288 Research Techno Plaza 50 Nanyang Drive, Border X Block Singapore 637553 Singapore.
Yan GuoSchool of Automation Hangzhou Dianzi University Hangzhou Zhejiang 310018 China.
Lixing KangCINTRA CNRS/NTU/THALES, UMI 3288 Research Techno Plaza 50 Nanyang Drive, Border X Block Singapore 637553 Singapore.
Ho-Pui HoDepartment of Biomedical Engineering The Chinese University of Hong Kong New Territories Hong Kong SAR 999077 China.
Ken-Tye YongCINTRA CNRS/NTU/THALES, UMI 3288 Research Techno Plaza 50 Nanyang Drive, Border X Block Singapore 637553 Singapore.ORCID https://orcid.org/0000-0001-7936-2941
Nanyang Technological University · SGChinese University of Hong Kong · HKHangzhou Dianzi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 virus has been recently identified as a new species of virus that can cause severe infections such as pneumonia. The sudden outbreak of this disease is being considered a pandemic. Given all this, it is essential to develop smart biosensors that can detect pathogens with minimum time delay. Surface plasmon resonance (SPR) biosensors make use of refractive index (RI) changes as the sensing parameter. In this work, based on actual data taken from previous experimental works done on plasmonic detection of viruses, a detailed simulation of the SPR scheme that can be used to detect the COVID-19 virus is performed and the results are extrapolated from earlier schemes to predict some outcomes of this SPR model. The results indicate that the conventional Kretschmann configuration can have a limit of detection (LOD) of 2E-05 in terms of RI change and an average sensitivity of 122.4 degRIU

Indexed as

COVID‐19grapheneskretschmann layoutplasmonic bio‐sensingsimulations

Identifiers

PMID32838127
PMCPMC7300606
OpenAlexW3033357106

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.