Evidence map›Paper›PMID 36346093›Full record

ArticleIEEE sensors journal2022

SPR Based Biosensing Chip for COVID-19 Diagnosis-A Review.

Purnendu Shekhar Pandey, Sanjeev Kumar Raghuwanshi, Azhar Shadab, Md Tauseef Iqbal Ansari, Umesh Kumar Tiwari, Santosh Kumar

Open access · bronzeAbstract read
In one paragraph

Article in IEEE sensors journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
12.5field-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

28 citing papers in PubMed, 127 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

6 authors at 3 institutions in 2 countries.

Purnendu Shekhar PandeyOptical Fiber Sensor LaboratoryDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India.ORCID https://orcid.org/0000-0003-1276-5388
Sanjeev Kumar RaghuwanshiDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India.ORCID https://orcid.org/0000-0003-3820-2890
Azhar ShadabOptical Fiber Sensor LaboratoryDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India.
Md Tauseef Iqbal AnsariOptical Fiber Sensor LaboratoryDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India.ORCID https://orcid.org/0000-0002-1813-7051
Umesh Kumar TiwariAdvanced Materials and Sensors DivisionCentral Scientific Instruments Organisation (CSIO) Chandigarh 160030 India.ORCID https://orcid.org/0000-0002-4641-3391
Santosh KumarShandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information TechnologyLiaocheng University Liaocheng 252059 China.ORCID https://orcid.org/0000-0003-4149-0096
Indian Institute of Technology Dhanbad · INCentral Scientific Instruments Organisation · INLiaocheng University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface Plasmon Resonance (SPR) techniques are highly accurate in detecting biomolecular like blood group measurement, food adulteration, milk adulteration and recently developing as a rapid detection for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In order to validate the clinical diagnosis, Real-time reverse transcriptase-polymerase chain reaction (RT-PCR) of nasopharyngeal swabs has been utilized, which is time consuming and expensive. For fast and accurate detection of the SARS-CoV-2 virus, SPR based biosensing chips are described in this review article. SPR sensors have the potential to be employed for fast, accurate, and portable SARS-CoV-2 virus diagnosis. To combat the SARS-CoV-2 pandemic, there is considerable interest in creating innovative biosensors that are quick, reliable, and sensitive for COVID-19 diagnosis.

Indexed as

2-D materialsbiosensorKretschmann configurationSARS-CoV-2Surface plasmon resonance

Identifiers

PMID36346093
PMCPMC9423036
OpenAlexW4285183587

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.