Evidence map›Paper›PMID 40371028›Full record

ReviewIndian journal of microbiology2025

Nanotechnology-Based Modern Biosensors for the Detection of SARS-CoV-2 Virus.

Sandhya Devi, Neha Yadav, Rakesh Yadav

Abstract readReview
In one paragraph

Review in Indian journal of microbiology, 2025. 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

3 authors.

Sandhya DeviDepartment of Biotechnology formerly known as Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001 India.
Neha YadavDepartment of Biotechnology formerly known as Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001 India.
Rakesh YadavDepartment of Biotechnology formerly known as Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001 India.ORCID 0000-0002-8612-3874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of the COVID-19 pandemic has pointed out the urgent need for rapid and accurate diagnostic tools to detect the SARS-CoV-2 virus. Nanotechnology-based biosensors have emerged as a promising solution due to their high sensitivity, specificity, and speed in detecting biological molecules. This article focuses on the advancements in using nanotechnology for the development of modern biosensors tailored for the detection of the SARS-CoV-2 virus. Various nanomaterials, such as quantum dots, metallic nanoparticles, and nanowires, have been harnessed to enhance the performance of biosensors, offering improved detection limits and specificity. Besides this, innovative detection platforms, such as field-effect transistors, surface plasmon resonance, and electrochemical sensors, have revolutionized the landscape of SARS-CoV-2 diagnostics. These nanotechnology-based biosensors demonstrate the potential for point-of-care testing, enabling rapid and on-site detection with minimal sample preparation. The scalability, cost-effectiveness, and portability of these biosensors make them suitable for mass screening efforts in various healthcare settings, including hospitals, clinics, and community centers. The development of reliable biosensors for SARS-CoV-2 detection aligns with global efforts to curb the spread of the virus through early identification and containment strategies.

Indexed as

BiosensorCOVID-19DetectionNanomaterialsNanotechnologySARS-CoV-2

Identifiers

PMID40371028
PMCPMC12069202

What OpenQuestion holds

Textmetadata
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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.