Evidence map›Paper›PMID 38892147›Full record

ReviewInternational journal of molecular sciences2024

Multimodal Biosensing of Foodborne Pathogens.

Najeeb Ullah, Tracy Ann Bruce-Tagoe, George Adu Asamoah, Michael K Danquah

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. From conventional to biosensor-based detection ofFood and waterborne parasitology · 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.

Najeeb UllahDepartment of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0002-0173-7982
Tracy Ann Bruce-TagoeDepartment of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA.
George Adu AsamoahDepartment of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA.
Michael K DanquahDepartment of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA.

Funding

National Science Foundation 2130658
6 · The paper itself

Abstract

Microbial foodborne pathogens present significant challenges to public health and the food industry, requiring rapid and accurate detection methods to prevent infections and ensure food safety. Conventional single biosensing techniques often exhibit limitations in terms of sensitivity, specificity, and rapidity. In response, there has been a growing interest in multimodal biosensing approaches that combine multiple sensing techniques to enhance the efficacy, accuracy, and precision in detecting these pathogens. This review investigates the current state of multimodal biosensing technologies and their potential applications within the food industry. Various multimodal biosensing platforms, such as opto-electrochemical, optical nanomaterial, multiple nanomaterial-based systems, hybrid biosensing microfluidics, and microfabrication techniques are discussed. The review provides an in-depth analysis of the advantages, challenges, and future prospects of multimodal biosensing for foodborne pathogens, emphasizing its transformative potential for food safety and public health. This comprehensive analysis aims to contribute to the development of innovative strategies for combating foodborne infections and ensuring the reliability of the global food supply chain.

Indexed as

Biosensing TechniquesFoodborne DiseasesFood MicrobiologyFood SafetyHumansbiosensingelectrochemicalfoodborne pathogensfood safetymultimodal biosensingoptical

Identifiers

PMID38892147
PMCPMC11172999

What OpenQuestion holds

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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.