Evidence map›Paper›PMID 38339574›Full record

ArticleSensors (Basel, Switzerland)2024

Pathogen Detection via Impedance Spectroscopy-Based Biosensor.

Tharun Reddy Kandukuri, Ioannis Prattis, Pelumi Oluwasanya, Luigi G Occhipinti

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Tharun Reddy KandukuriElectrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, UK.ORCID 0009-0006-3053-8102
Ioannis PrattisElectrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, UK.ORCID 0000-0002-6397-7201
Pelumi OluwasanyaElectrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, UK.ORCID 0000-0002-2090-3202
Luigi G OcchipintiElectrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, UK.ORCID 0000-0002-9067-2534

Funding

CAPE Blue Sky RG73513
6 · The paper itself

Abstract

This paper presents the development of a miniaturized sensor device for selective detection of pathogens, specifically Influenza A Influenza virus, as an enveloped virus is relatively vulnerable to damaging environmental impacts. In consideration of environmental factors such as humidity and temperature, this particular pathogen proves to be an ideal choice for our study. It falls into the category of pathogens that pose greater challenges due to their susceptibility. An impedance biosensor was integrated into an existing platform and effectively separated and detected high concentrations of airborne pathogens. Bio-functionalized hydrogel-based detectors were utilized to analyze virus-containing particles. The sensor device demonstrated high sensitivity and specificity when exposed to varying concentrations of Influenza A virus ranging from 0.5 to 50 μg/mL. The sensitivity of the device for a 0.5 μg/mL analyte concentration was measured to be 695 Ω· mL/μg. Integration of this pathogen detector into a compact-design air quality monitoring device could foster the advancement of personal exposure monitoring applications. The proposed sensor device offers a promising approach for real-time pathogen detection in complex environmental settings.

Indexed as

Air PollutionBiosensing TechniquesDielectric SpectroscopyElectric Impedanceambient airbio-functionalized hydrogelcapacitive biosensorsInfluenza Ainterdigitated electrodes (IDE)pathogen detection

Identifiers

PMID38339574
PMCPMC10857222

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.