Evidence map›Paper›PMID 34901383›Full record

ArticleAdvanced materials technologies2022

A Rapid Detection of COVID-19 Viral RNA in Human Saliva Using Electrical Double Layer-Gated Field-Effect Transistor-Based Biosensors.

Akhil K Paulose, Chih-Cheng Huang, Po-Hsuan Chen, Adarsh Tripathi, Pin-Hsuan Chen, Yu-Shan Huang, Yu-Lin Wang

Open access · bronzeAbstract read
In one paragraph

Article in Advanced materials technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 25 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

7 authors at 1 institution in 1 country.

Akhil K PauloseInstitute of Nanoengineering and Microsystems National Tsing Hua University Hsinchu 30013 Taiwan.
Chih-Cheng HuangInstitute of Nanoengineering and Microsystems National Tsing Hua University Hsinchu 30013 Taiwan.ORCID https://orcid.org/0000-0002-0972-6444
Po-Hsuan ChenInstitute of Nanoengineering and Microsystems National Tsing Hua University Hsinchu 30013 Taiwan.
Adarsh TripathiInstitute of Molecular Medicine National Tsing Hua University Hsinchu 30013 Taiwan.
Pin-Hsuan ChenDepartment of Power Mechanical Engineering National Tsing Hua University Hsinchu 30013 Taiwan.
Yu-Shan HuangInstitute of Nanoengineering and Microsystems National Tsing Hua University Hsinchu 30013 Taiwan.
Yu-Lin WangInstitute of Nanoengineering and Microsystems National Tsing Hua University Hsinchu 30013 Taiwan.ORCID https://orcid.org/0000-0002-4791-936X
National Tsing Hua University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In light of the swift outspread and considerable mortality, coronavirus disease 2019 (COVID-19) necessitates a rapid screening tool and a precise diagnosis. Saliva is considered as an alternative specimen to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since the viral load is comparable to what are found in a throat and a nasal cavity. The electrical double layer (EDL)-gated field-effect transistor-based biosensor (BioFET) emerges as a promising candidate for salivary COVID-19 tests due to a high sensitivity, a portable configuration, a label-free operation, and a matrix insensitivity. In this work, the authors utilize EDL-gated BioFETs to detect complementary DNAs (cDNAs) and viral RNAs with various testing conditions such as switches of probes, temperature treatments, and matrices. The selectivity is confirmed with cDNA and noncomplementary DNA (ncDNA), exhibiting an eightfold difference in electrical signals. The matrix insensitivity is evaluated, and BioFETs successfully validate the detection of SARS-CoV-2 N-gene RNA down to 1 fm in diluted human saliva with a 95°C- and a 25°C-treatment, respectively. This proposed system has a high potential to be deployed for an on-site COVID-19 screening, improving the disease control and benefitting frontline healthcare system.

Indexed as

COVID‐19EDL‐gated BioFETportable biosensorssaliva‐based diagnosticsSARS‐CoV‐2viral RNA screening

Identifiers

PMID34901383
PMCPMC8646907
OpenAlexW3201443865

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.