Evidence map›Paper›PMID 40710065›Full record

ReviewBiosensors2025

Biosensing Strategies to Monitor Contaminants and Additives on Fish, Meat, Poultry, and Related Products.

Zenebe Tadesse Tsegay, Elahesadat Hosseini, Teresa D'Amore, Slim Smaoui, Theodoros Varzakas

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

5 authors.

Zenebe Tadesse TsegayDepartment of Food Science and Post-Harvest Technology, College of Dryland Agriculture and Natural Resources, Mekelle University, Mekelle P.O. Box 231, Ethiopia.ORCID 0000-0003-3007-3596
Elahesadat HosseiniDepartment of Chemical Engineering, Payame Noor University, Tehran 19395-4697, Iran.ORCID 0000-0001-6954-6034
Teresa D'AmoreLaboratory of Preclinical and Translational Research, IRCCS CROB, Centro di Riferimento Oncologico della Basilicata, 85028 Rionero in Vulture, Italy.ORCID 0000-0002-1435-4390
Slim SmaouiLaboratory of Microbial and Enzymes Biotechnology and Biomolecules (LMEBB), Centre of Biotechnology of Sfax (CBS), University of Sfax-Tunisia, Road of Sidi Mansour Km 6, P.O. Box 1177, Sfax 3018, Tunisia.ORCID 0000-0002-8839-7377
Theodoros VarzakasDepartment of Food Science and Technology, University of the Peloponnese, Antikalamos, 24100 Kalamata, Greece.ORCID 0000-0003-3927-9056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensors have emerged as highly sensitive, rapid, and specific tools for detecting food safety hazards, particularly in perishable products, such as fish, meat, and poultry. These products are susceptible to microbial contamination and often contain additives intended to improve shelf life and flavor, which may pose health risks to consumers. Recent advances in biosensor technologies integrated with smartphones, artificial sensing systems, 3D printing, and the Internet of Things (IoT) offer promising solutions for real-time monitoring. This review explores the types, mechanisms, standardization approaches, and validation processes of biosensors used to detect contaminants and additives in animal-based food products. Furthermore, the paper highlights current challenges, technical limitations, and future perspectives regarding the broader implementation of biosensors in modern food safety monitoring systems.

Indexed as

Biosensing TechniquesFood AdditivesFood ContaminationMeatAnimalsFishesFood SafetyPoultryFood Additivesbiosensorfishmeatmonitoringqualitystandardization

Identifiers

PMID40710065
PMCPMC12293825

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.