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Peer-reviewedCC BY 4.0Food Chemistry: X

Veterinary drug residues in animal-derived foods: From analytical detection to intelligent and sustainable surveillance

  • Marzieh Ramezani Farani1
  • Danial Mirzaee2
  • Anahita Voosough2
  • Afrooz Hatami2
  • Kong Chanmey1
  • Seyed-Hassan Miraei Ashtiani3
  • Aliya Sheik1
  • Iraj Alipourfard4
  • Alexandros Ch. Stratakos5
  • Sergey A. Piletsky6
  • Seung-Kyu Hwang1
  • Yun Suk Huh1
6 affiliations
  1. 1Department of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Incheon, Republic of Korea
  2. 2Department of Biology, Faculty of Science, University of Tehran, Tehran, Iran
  3. 3Department of Animal Science and Aquaculture, Dalhousie University, Truro, Nova Scotia, Canada
  4. 4Department of Pharmacotherapy and Pharmaceutical Care, Faculty of Pharmacy, Medical University of Warsaw, Warsaw, Poland
  5. 5Centre for Sustainable Agri-Food and Environment, School of Applied Sciences, University of the West of England, Bristol, Bristol, United Kingdom
  6. 6School of Chemistry, College of Science and Engineering, University of Leicester, Leicester, United Kingdom
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Abstract

Veterinary drug residues in animal-derived foods remain a major challenge for food safety, public health, and international trade. This review examines residue control through the complementary roles of analytical technologies, digital tools and green analytical chemistry. Rapid screening can support local decisions, while liquid chromatography-tandem mass spectrometry provides laboratory confirmation. Digital tools offer opportunities to connect analytical results with treatment records and product traceability, but their value depends on data quality, interoperability and validation. Solvent reduction and miniaturization should be assessed alongside energy use and material life cycles. The proposed farm-to-fork roadmap links these approaches with regulatory requirements and One Health priorities, emphasizing reliable measurements, coordinated data use and feasibility in resource-constrained settings.

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Cite

BibTeXRIS
BibTeX
@article{farani2026veterinary,
  title = {{Veterinary drug residues in animal-derived foods: From analytical detection to intelligent and sustainable surveillance}},
  author = {Marzieh Ramezani Farani and Danial Mirzaee and Anahita Voosough and Afrooz Hatami and Kong Chanmey and Seyed-Hassan Miraei Ashtiani and Aliya Sheik and Iraj Alipourfard and Alexandros Ch. Stratakos and Sergey A. Piletsky and Seung-Kyu Hwang and Yun Suk Huh},
  journal = {Food Chemistry: X},
  year = {2026},
  month = oct,
  doi = {10.1016/j.fochx.2026.104643},
  url = {https://doi.org/10.1016/j.fochx.2026.104643},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Veterinary drug residues in animal-derived foods: From analytical detection to intelligent and sustainable surveillance
AU  - Marzieh Ramezani Farani
AU  - Danial Mirzaee
AU  - Anahita Voosough
AU  - Afrooz Hatami
AU  - Kong Chanmey
AU  - Seyed-Hassan Miraei Ashtiani
AU  - Aliya Sheik
AU  - Iraj Alipourfard
AU  - Alexandros Ch. Stratakos
AU  - Sergey A. Piletsky
AU  - Seung-Kyu Hwang
AU  - Yun Suk Huh
PY  - 2026
DA  - 2026/10/16
JO  - Food Chemistry: X
DO  - 10.1016/j.fochx.2026.104643
UR  - https://doi.org/10.1016/j.fochx.2026.104643
AB  - Veterinary drug residues in animal-derived foods remain a major challenge for food safety, public health, and international trade. This review examines residue control through the complementary roles of analytical technologies, digital tools and green analytical chemistry. Rapid screening can support local decisions, while liquid chromatography-tandem mass spectrometry provides laboratory confirmation. Digital tools offer opportunities to connect analytical results with treatment records and product traceability, but their value depends on data quality, interoperability and validation. Solvent reduction and miniaturization should be assessed alongside energy use and material life cycles. The proposed farm-to-fork roadmap links these approaches with regulatory requirements and One Health priorities, emphasizing reliable measurements, coordinated data use and feasibility in resource-constrained settings.
SN  - 2590-1575
ER  -