Evidence map›Paper›PMID 35855937›Full record

ArticleSensing and Bio-Sensing Research2022

Piezoelectric point-of-care biosensor for the detection of SARS-COV-2 (COVID-19) antibodies.

Debdyuti Mandal, Mustahseen M Indaleeb, Alexandra Younan, Sourav Banerjee

Abstract read
In one paragraph

Article in Sensing and Bio-Sensing Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Emerging point-of-care technologies for bacterial pathogen detection.Journal of Zhejiang University. Science. B · 2026
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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

4 authors.

Debdyuti MandalIntegrated Material Assessment and Predictive Simulation Laboratory, University of South Carolina, Columbia, SC, USA.
Mustahseen M IndaleebIntegrated Material Assessment and Predictive Simulation Laboratory, University of South Carolina, Columbia, SC, USA.
Alexandra YounanIntegrated Material Assessment and Predictive Simulation Laboratory, University of South Carolina, Columbia, SC, USA.
Sourav BanerjeeIntegrated Material Assessment and Predictive Simulation Laboratory, University of South Carolina, Columbia, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is always challenging to diagnose a disease using a biosensor reliably, and quickly with high sensitivity and selectivity, simultaneosuly. Recently the world experienced a global pandemic caused by a novel coronavirus (COVID-19). Although the vaccines are available, COVID-19 resulted a huge threat to the entire world with high mortality rates. Irrespective of a specific disease, there is a constant need for a cheaper and faster in-vitro, lab-on-a-chip sensor with high sensitivity and selectivity. Such sensors will not only facilitate the disease detection but will expedite and vaccine development process through detection of its corresponding antibodies when developed. In this article, we present an ultrasonic guided wave sensor using 128° YX lithium niobate piezoelectric wafer, specially designed in a shape of a multi-threaded comb with cantilever beams which is equally selective and sensitive for the detection of corresponding antigen-antibody assays. As a proof of concept in this article, the diagnostic sensor is created and tested for detection of SARS-COV-2 antibodies. Sensors were functionalized with SARS-COV-2 antigens and target antibody for the same was detected. Unique and judicially tuned acoustic features are analyzed for successful detection of the right antibodies. The proposed lab-on-a-chip device utilizes a wide range of diagnostic frequencies resulting into a highly sensitive platform for the diagnostics even to the slightest biophysical changes. The proposed sensor is also believed to extend to the detection of various other antigens/antibodies of different diseases in the future.

Indexed as

Covid-19Piezoelectric biosensorPOC biosensorSARSSAWSurface acoustic waves

Identifiers

PMID35855937
PMCPMC9279182

What OpenQuestion holds

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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.