Evidence map›Paper›PMID 35763566›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Rapid self-test of unprocessed viruses of SARS-CoV-2 and its variants in saliva by portable wireless graphene biosensor.

Deependra Kumar Ban, Tyler Bodily, Abhijith G Karkisaval, Yongliang Dong, Shreyam Natani, Anirudh Ramanathan, Armando Ramil, Sunil Srivastava, Prab Bandaru, Gennadi Glinsky and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
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  5. Amplification-free, OR-gated CRISPR-Cascade reaction for pathogen detection in blood samples.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Aptamers 101: aptamer discovery andChemical science · 2023
    Review
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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 1 country.

Deependra Kumar BanDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.ORCID 0000-0001-7662-3675
Tyler BodilyDepartment of Bioengineering, University of California, San Diego, CA 92093.ORCID 0000-0003-4808-9633
Abhijith G KarkisavalDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.ORCID 0000-0002-4029-0490
Yongliang DongDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.ORCID 0000-0003-2988-7875
Shreyam NataniDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.ORCID 0000-0003-3633-3408
Anirudh RamanathanDepartment of Bioengineering, University of California, San Diego, CA 92093.ORCID 0000-0002-7426-3933
Armando RamilDepartment of Bioengineering, University of California, San Diego, CA 92093.ORCID 0000-0003-2959-9566
Sunil SrivastavaAdministration, Ampera Life, Inc., La Jolla, CA 92037.
Prab BandaruDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.
Gennadi GlinskyInstitute of Engineering in Medicine, University of California, San Diego, CA 92093.ORCID 0000-0002-2523-8264
Ratnesh LalDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093.
University of California San Diego · USHarvard University Press · US

Funding

Designing array-AFM to study cellular interactions mediating transmission and progression of AD pathophysiology in brainR56AG058069 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LAL, RATNESHWAR · 2018 to 2019
$755k
NIA NIH HHS R56 AG058069
6 · The paper itself

Abstract

We have developed a DNA aptamer-conjugated graphene field-effect transistor (GFET) biosensor platform to detect receptor-binding domain (RBD), nucleocapsid (N), and spike (S) proteins, as well as viral particles of original Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) coronavirus and its variants in saliva samples. The GFET biosensor is a label-free, rapid (≤20 min), ultrasensitive handheld wireless readout device. The limit of detection (LoD) and the limit of quantitation (LoQ) of the sensor are 1.28 and 3.89 plaque-forming units (PFU)/mL for S protein and 1.45 and 4.39 PFU/mL for N protein, respectively. Cognate spike proteins of major variants of concern (N501Y, D614G, Y453F, Omicron-B1.1.529) showed sensor response ≥40 mV from the control (aptamer alone) for fM to nM concentration range. The sensor response was significantly lower for viral particles and cognate proteins of Middle East Respiratory Syndrome (MERS) compared to SARS-CoV-2, indicating the specificity of the diagnostic platform for SARS-CoV-2 vs. MERS viral proteins. During the early phase of the pandemic, the GFET sensor response agreed with RT-PCR data for oral human samples, as determined by the negative percent agreement (NPA) and positive percent agreement (PPA). During the recent Delta/Omicron wave, the GFET sensor also reliably distinguished positive and negative clinical saliva samples. Although the sensitivity is lower during the later pandemic phase, the GFET-defined positivity rate is in statistically close alignment with the epidemiological population-scale data. Thus, the aptamer-based GFET biosensor has a high level of precision in clinically and epidemiologically significant SARS-CoV-2 variant detection. This universal pathogen-sensing platform is amenable for a broad range of public health applications and real-time environmental monitoring.

Indexed as

Biosensing TechniquesCOVID-19GraphiteSARS-CoV-2Wireless TechnologyHumansSalivaSelf-TestingGraphiteaptamerbiosensorCOVID-19grapheneSARS-CoV-2

Identifiers

PMID35763566
PMCPMC9282385
OpenAlexW4283709420

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.