Recent Advances in Biosensor Technologies for Meat Production Chain
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| Publicado en: | Foods vol. 14, no. 5 (2025), p. 744 |
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| Autor Principal: | |
| Outros autores: | , , , , |
| Publicado: |
MDPI AG
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| Acceso en liña: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Nastasijevic, Ivan |u Institute of Meat Hygiene and Technology, Kacanskog 13, 11000 Belgrade, Serbia | |
| 245 | 1 | |a Recent Advances in Biosensor Technologies for Meat Production Chain | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Biosensors are innovative and cost-effective analytical devices that integrate biological recognition elements (bioreceptors) with transducers to detect specific substances (biomolecules), providing a high sensitivity and specificity for the rapid and accurate point-of-care (POC) quantitative detection of selected biomolecules. In the meat production chain, their application has gained attention due to the increasing demand for enhanced food safety, quality assurance, food fraud detection, and regulatory compliance. Biosensors can detect foodborne pathogens (Salmonella, Campylobacter, Shiga-toxin-producing E. coli/STEC, L. monocytogenes, etc.), spoilage bacteria and indicators, contaminants (pesticides, dioxins, and mycotoxins), antibiotics, antimicrobial resistance genes, hormones (growth promoters and stress hormones), and metabolites (acute-phase proteins as inflammation markers) at different modules along the meat chain, from livestock farming to packaging in the farm-to-fork (F2F) continuum. By providing real-time data from the meat chain, biosensors enable early interventions, reducing the health risks (foodborne outbreaks) associated with contaminated meat/meat products or sub-standard meat products. Recent advancements in micro- and nanotechnology, microfluidics, and wireless communication have further enhanced the sensitivity, specificity, portability, and automation of biosensors, making them suitable for on-site field applications. The integration of biosensors with blockchain and Internet of Things (IoT) systems allows for acquired data integration and management, while their integration with artificial intelligence (AI) and machine learning (ML) enables rapid data processing, analytics, and input for risk assessment by competent authorities. This promotes transparency and traceability within the meat chain, fostering consumer trust and industry accountability. Despite biosensors’ promising potential, challenges such as scalability, reliability associated with the complexity of meat matrices, and regulatory approval are still the main challenges. This review provides a broad overview of the most relevant aspects of current state-of-the-art biosensors’ development, challenges, and opportunities for prospective applications and their regular use in meat safety and quality monitoring, clarifying further perspectives. | |
| 653 | |a Pesticides | ||
| 653 | |a Animal welfare | ||
| 653 | |a Livestock | ||
| 653 | |a Food products | ||
| 653 | |a Internet of Things | ||
| 653 | |a Wireless communications | ||
| 653 | |a Salmonella | ||
| 653 | |a Quality assurance | ||
| 653 | |a Campylobacter | ||
| 653 | |a Meat products | ||
| 653 | |a Food quality | ||
| 653 | |a Biosensors | ||
| 653 | |a Antimicrobial resistance | ||
| 653 | |a Contaminants | ||
| 653 | |a Data integration | ||
| 653 | |a Metabolites | ||
| 653 | |a Automation | ||
| 653 | |a Risk assessment | ||
| 653 | |a Machine learning | ||
| 653 | |a Meat | ||
| 653 | |a Foodborne diseases | ||
| 653 | |a Transducers | ||
| 653 | |a Nanotechnology | ||
| 653 | |a Listeria | ||
| 653 | |a Quality standards | ||
| 653 | |a Spoilage | ||
| 653 | |a Food contamination | ||
| 653 | |a Antibiotics | ||
| 653 | |a Fraud | ||
| 653 | |a Sustainability | ||
| 653 | |a Hormones | ||
| 653 | |a Meat production | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Food safety | ||
| 653 | |a Livestock farming | ||
| 653 | |a E coli | ||
| 653 | |a Real time | ||
| 653 | |a Acute phase proteins | ||
| 653 | |a Integration | ||
| 653 | |a Animal care | ||
| 653 | |a Health risks | ||
| 653 | |a Meat processing | ||
| 653 | |a Volatile organic compounds--VOCs | ||
| 653 | |a Pathogens | ||
| 653 | |a Data processing | ||
| 653 | |a Data acquisition | ||
| 653 | |a Emissions | ||
| 653 | |a Consumer protection | ||
| 653 | |a Chemical contaminants | ||
| 653 | |a Biomolecules | ||
| 653 | |a Foodborne pathogens | ||
| 653 | |a Microfluidics | ||
| 653 | |a Consumers | ||
| 653 | |a Process controls | ||
| 653 | |a Toxins | ||
| 653 | |a Mycotoxins | ||
| 653 | |a Emission standards | ||
| 653 | |a Climate change | ||
| 653 | |a Enzymes | ||
| 653 | |a Drug resistance | ||
| 700 | 1 | |a Kundacina, Ivana |u University of Novi Sad, Biosense Institute, Dr Zorana Djindjica 1a, 21000 Novi Sad, Serbia; <email>ivana.kundacina@biosense.rs</email> (I.K.); <email>sjaric@biosense.rs</email> (S.J.); <email>zoran.pavlovic@biosense.rs</email> (Z.P.); <email>marrad@biosense.rs</email> (M.R.); <email>vasarad@biosense.rs</email> (V.R.) | |
| 700 | 1 | |a Jaric, Stefan |u University of Novi Sad, Biosense Institute, Dr Zorana Djindjica 1a, 21000 Novi Sad, Serbia; <email>ivana.kundacina@biosense.rs</email> (I.K.); <email>sjaric@biosense.rs</email> (S.J.); <email>zoran.pavlovic@biosense.rs</email> (Z.P.); <email>marrad@biosense.rs</email> (M.R.); <email>vasarad@biosense.rs</email> (V.R.) | |
| 700 | 1 | |a Pavlovic, Zoran |u University of Novi Sad, Biosense Institute, Dr Zorana Djindjica 1a, 21000 Novi Sad, Serbia; <email>ivana.kundacina@biosense.rs</email> (I.K.); <email>sjaric@biosense.rs</email> (S.J.); <email>zoran.pavlovic@biosense.rs</email> (Z.P.); <email>marrad@biosense.rs</email> (M.R.); <email>vasarad@biosense.rs</email> (V.R.) | |
| 700 | 1 | |a Radovic, Marko |u University of Novi Sad, Biosense Institute, Dr Zorana Djindjica 1a, 21000 Novi Sad, Serbia; <email>ivana.kundacina@biosense.rs</email> (I.K.); <email>sjaric@biosense.rs</email> (S.J.); <email>zoran.pavlovic@biosense.rs</email> (Z.P.); <email>marrad@biosense.rs</email> (M.R.); <email>vasarad@biosense.rs</email> (V.R.) | |
| 700 | 1 | |a Radonic, Vasa |u University of Novi Sad, Biosense Institute, Dr Zorana Djindjica 1a, 21000 Novi Sad, Serbia; <email>ivana.kundacina@biosense.rs</email> (I.K.); <email>sjaric@biosense.rs</email> (S.J.); <email>zoran.pavlovic@biosense.rs</email> (Z.P.); <email>marrad@biosense.rs</email> (M.R.); <email>vasarad@biosense.rs</email> (V.R.) | |
| 773 | 0 | |t Foods |g vol. 14, no. 5 (2025), p. 744 | |
| 786 | 0 | |d ProQuest |t Agriculture Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3176386929/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3176386929/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3176386929/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |