Evidence map›Paper›PMID 40860064›Full record

ReviewRSC advances2025

Point-of-care biosensors for infectious disease diagnosis: recent updates and prospects.

Mansi Parihar, Niharika W N, Sahana, Rajib Biswas, Budheswar Dehury, Nirmal Mazumder

Abstract readReview
In one paragraph

Review in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

6 authors.

Mansi PariharDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education Manipal 576104 India budheswar.dehury@manipal.edu.
Niharika W NDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education Manipal 576104 India budheswar.dehury@manipal.edu.
SahanaDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education Manipal 576104 India budheswar.dehury@manipal.edu.
Rajib BiswasDepartment of Physics, Tezpur University Assam India.ORCID https://orcid.org/0000-0001-6246-2196
Budheswar DehuryDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education Manipal 576104 India budheswar.dehury@manipal.edu.
Nirmal MazumderDepartment of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education Manipal Karnataka 576104 India nirmal.mazumder@manipal.edu.ORCID https://orcid.org/0000-0001-8068-6484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing demand for rapid, accurate, accessible diagnostics has significantly increased point-of-care (POC) biosensors. This review provides an overview of diverse biosensors, focusing on their principles, components, detection mechanisms, and applications in infectious disease diagnosis. We explore how these biosensors utilize various transduction techniques-such as current modulation, refractive index shifts, and mechanical resonance to convert biorecognition events into measurable signals. The importance of biosensors in detecting infectious diseases such as COVID-19, HIV, Tuberculosis, and Malaria is highlighted, particularly for early detection in resource-limited settings. However, persistent challenges remain in achieving integrated, miniaturized platforms capable of real-time, multianalyte detection. Additionally, the full potential of biosensors is yet to be realized owing to limited clinical translation, scalability issues, and insufficient integration with digital health technologies. This review identifies these critical areas for future innovation and discusses strategies to increase diagnostic accuracy, accessibility, and global health impact.

Identifiers

PMID40860064
PMCPMC12377050

What OpenQuestion holds

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LicenceCC BY
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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.