Evidence map›Paper›PMID 39635473›Full record

ArticleNanophotonics (Berlin, Germany)2023

On-chip multivariant COVID 19 photonic sensor based on silicon nitride double-microring resonators.

Arieh Grosman, Tal Duanis-Assaf, Noa Mazurski, Roy Zektzer, Christian Frydendahl, Liron Stern, Meital Reches, Uriel Levy

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Arieh GrosmanDepartment of Applied Physics, The Benin School of Engineering and Computer Science, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.ORCID https://orcid.org/0000-0001-9430-2832
Tal Duanis-AssafThe Institute of Chemistry, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
Noa MazurskiDepartment of Applied Physics, The Benin School of Engineering and Computer Science, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
Roy ZektzerDepartment of Applied Physics, The Benin School of Engineering and Computer Science, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
Christian FrydendahlDepartment of Applied Physics, The Benin School of Engineering and Computer Science, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.ORCID https://orcid.org/0000-0003-4734-9923
Liron SternDepartment of Applied Physics, The Benin School of Engineering and Computer Science, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
Meital RechesThe Institute of Chemistry, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
Uriel LevyDepartment of Applied Physics, The Benin School of Engineering and Computer Science, The Hebrew University of Jerusalem, 91904, Jerusalem, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a newly emerging human infectious disease that continues to develop new variants. A crucial step in the quest to reduce the infection is the development of rapid and reliable virus detectors. Here, we report a chip scale photonic sensing device consisting of a silicon-nitride double microring resonator (MRR) for detecting SARS-CoV-2 in clinical samples. The sensor is implemented by surface activation of one of the MRRs, acting as a probe, with DNA primers for SARS-CoV-2 RNA, whereas the other MRR is used as a reference. The performance of the sensor is determined by applying different amounts of SARS-CoV-2 complementary RNA. As will be shown in the paper, our device detects the RNA fragments at concentrations of 10 cp/μL and with sensitivity of 750 nm/RIU. As such, it shows a promise toward the implementation of label-free, small form factor, CMOS compatible biosensor for SARS-CoV-2, which is also environment, temperature, and pressure independent. Our approach can also be used for detecting other SARS-CoV-2 genes, as well as other viruses and pathogens.

Indexed as

biosensorsCOVID-19micro ring resonator; nanophotonics; silicon-photonics; Si3N4

Identifiers

PMID39635473
PMCPMC11501435

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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.