Evidence map›Paper›PMID 37590297›Full record

ArticlePloS one2023

A capacitive laser-induced graphene based aptasensor for SARS-CoV-2 detection in human saliva.

Geisianny Moreira, Hanyu Qian, Shoumen Palit Austin Datta, Nikolay Bliznyuk, Jeremiah Carpenter, Delphine Dean, Eric McLamore, Diana Vanegas

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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  5. Article
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.

Geisianny MoreiraEnvironmental Engineering and Earth Sciences, Clemson University, Clemson, South Carolina, United States of America.ORCID 0000-0002-7008-0363
Hanyu QianDepartment of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida, United States of America.
Shoumen Palit Austin DattaDepartment of Mechanical Engineering, MIT Auto-ID Labs, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Nikolay BliznyukDepartment of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida, United States of America.ORCID 0000-0001-7118-7907
Jeremiah CarpenterCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, South Carolina, United States of America.
Delphine DeanCenter for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, South Carolina, United States of America.ORCID 0000-0002-8631-2640
Eric McLamoreEnvironmental Engineering and Earth Sciences, Clemson University, Clemson, South Carolina, United States of America.
Diana VanegasEnvironmental Engineering and Earth Sciences, Clemson University, Clemson, South Carolina, United States of America.ORCID 0000-0001-9858-0960

Funding

Tissue Structural and Neural Remodeling in Human Sacroiliac JointP20GM121342 · NIGMS · CLEMSON UNIVERSITY · PI Peng Chen · 2018 to 2026
$24.7M
Development of an Automated Diagnostic Platform for SARS-CoV-2 Monitoring in Vulnerable AreasU01AA029328 · NIAAA · CLEMSON UNIVERSITY · PI VANEGAS-GAMBOA, DIANA CAROLINA · 2021 to 2022
$897k
NIAAA NIH HHS U01 AA029328NIGMS NIH HHS P20 GM121342
6 · The paper itself

Abstract

SARS-CoV-2 virus induced CoVID-19 pandemic has accelerated the development of diagnostic tools. Devices integrated with electrochemical biosensors may be an interesting alternative to respond to the high demand for testing, particularly in contexts where access to standard detection technologies is lacking. Aptamers as recognition elements are useful due to their stability, specificity, and sensitivity to binding target molecules. We have developed a non-invasive electrochemical aptamer-based biosensor targeting SARS-CoV-2 in human saliva. The aptamer is expected to detect the Spike protein of SARS-CoV-2 wildtype and its variants. Laser-induced graphene (LIG) electrodes coated with platinum nanoparticles were biofunctionalized with a biotin-tagged aptamer. Electrochemical Impedance Spectroscopy (EIS) for BA.1 sensing was conducted in sodium chloride/sodium bicarbonate solution supplemented with pooled saliva. To estimate sensing performance, the aptasensor was tested with contrived samples of UV-attenuated virions from 10 to 10,000 copies/ml. Selectivity was assessed by exposing the aptasensor to non-targeted viruses (hCoV-OC43, Influenza A, and RSV-A). EIS data outputs were further used to select a suitable response variable and cutoff frequency. Capacitance increases in response to the gradual loading of the attenuated BA.1. The aptasensor was sensitive and specific for BA.1 at a lower viral load (10-100 copies/ml) and was capable of discriminating between negative and positive contrived samples (with strain specificity against other viruses: OC43, Influenza A, and RSV-A). The aptasensor detected SARS-CoV-2 with an estimated LOD of 1790 copies/ml in contrived samples. In human clinical samples, the aptasensor presents an accuracy of 72%, with 75% of positive percent of agreement and 67% of negative percent of agreement. Our results show that the aptasensor is a promising candidate to detect SARS-CoV-2 during early stages of infection when virion concentrations are low, which may be useful for preventing the asymptomatic spread of CoVID-19.

Indexed as

COVID-19GraphiteInfluenza, HumanMetal NanoparticlesHumansLasersOligonucleotidesPandemicsPlatinumSalivaSARS-CoV-2GraphiteOligonucleotidesPlatinum

Identifiers

PMID37590297
PMCPMC10434860

What OpenQuestion holds

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LicenceCC BY
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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.