Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
8.7
4.6
Journals
Antibiotics
Special Issues
Veterinary Antibiotics in Food-Producing Animals: Residue Detection, Risk Assessment and...
share announcement

Veterinary Antibiotics in Food-Producing Animals: Residue Detection, Risk Assessment and Regulatory Advances

A special issue of Antibiotics (ISSN 2079-6382). This special issue belongs to the section "Antibiotics in Animal Health".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 360

Special Issue Editors

Dr. Liliana J.G. Silva

E-Mail Website
Guest Editor
Faculty of Pharmacy of the University of Coimbra, Polo III, Azinhaga de Stª Comba, 3000-548, Coimbra, Coimbra, Portugal
Interests: analytical chemistry; food safety; LC-MS; mycotoxins
Special Issues, Collections and Topics in MDPI journals
Dr. Marta Leite

E-Mail Website
Guest Editor Assistant
1. Associated Laboratory for Green Chemistry (LAQV) of the Network of Chemistry and Technology (REQUIMTE), Faculty of Pharmacy, University of Coimbra, R. D. Manuel II, 4051-401 Porto, Portugal
2. National Institute for Agricultural and Veterinary Research (INIAV), Rua dos Lágidos, Lugar da Madalena, 4485-655 Vila do Conde, Portugal
Interests: analytical chemistry; food safety; mycotoxins; veterinary drugs; mass spectrometry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The widespread and often misuse of veterinary antibiotics to control infectious diseases in food-producing animals now stands at the connection between animal health, food safety, and antimicrobial resistance (AMR) management. This Special Issue will gather cutting-edge research and reviews that highlight three important areas of research.

Residue detection includes advances in sampling strategies, chromatographic–mass-spectrometric methods, rapid biosensors, and multi-omics fingerprints for quantification of veterinary drugs and their metabolites in different animal-based products (e.g., meat, milk, eggs, fish, honey, pollen, royal jelly, and propolis).

Risk assessment involves toxicological, ecological, and One-Health studies that trace how antibiotic residues influence animal and environmental microbiomes, select for resistant pathogens, migrate through the food chain, and influence consumer exposure.

Regulatory advances include contributions that compare national surveillance data, model maximum-residue-limit compliance, evaluate policies, and explore alternative therapeutics that reduce antibiotic dependence.

By integrating analytical chemistry, microbiology, toxicology, and policy science, this collection aims to chart evidence-based pathways toward sustainable animal husbandry, safe animal-based products, and standardized global guidelines.

Dr. Liliana J.G. Silva
Guest Editor

Dr. Marta Leite
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Antibiotics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • veterinary drugs
  • analytical chemistry
  • food safety
  • risk assessment
  • regulatory frameworks

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

26 pages, 57341 KB  
Article
AI-Powered Embedded System for Rapid Detection of Veterinary Antibiotic Residues in Food-Producing Animals
by Ximing Li, Lanqi Chen, Qianchao Wang, Mengting Zhou, Jingheng Long, Xi Chen, Jiangsan Zhao, Junjun Yu and Yubin Guo
Antibiotics 2025, 14(9), 917; https://doi.org/10.3390/antibiotics14090917 - 11 Sep 2025
Viewed by 153
Abstract
Background: Veterinary antibiotics are widely used in food-producing animals, raising public health concerns due to drug residues and the risk of antimicrobial resistance. Rapid and reliable detection systems are critical to ensure food safety and regulatory compliance. Colloidal gold immunoassay (CGIA)-based antigen–antibody test [...] Read more.
Background: Veterinary antibiotics are widely used in food-producing animals, raising public health concerns due to drug residues and the risk of antimicrobial resistance. Rapid and reliable detection systems are critical to ensure food safety and regulatory compliance. Colloidal gold immunoassay (CGIA)-based antigen–antibody test cards are widely used in food safety for the rapid screening of veterinary antibiotic residues. However, manual interpretation of test cards remains inefficient and inconsistent. Methods: To address this, we propose a complete AI-based detection system for veterinary antibiotic residues. The system is built on the Rockchip RK3568 platform and integrates a five-megapixel OV5640 autofocus USB camera (60° field of view) with a COB LED strip (6000 K, rated 5 W/m). It enables high-throughput, automated interpretation of colloidal gold test cards and can generate structured detection reports for regulatory documentation and quality control. The core challenge lies in achieving accurate and fast inference on resource-constrained embedded devices, where traditional detection networks often struggle to balance model size and performance. To this end, we propose VetStar, a lightweight detection algorithm specifically optimized for this task. VetStar integrates StarBlock, a shallow feature extractor, and Depthwise Separable-Reparameterization Detection Head (DR-head), a compact, partially decoupled detection head that accelerates inference while preserving accuracy. Results: Despite its compact size, with only 0.04 M parameters and 0.3 GFLOPs, VetStar maintains strong performance after distillation with the Bridging Cross-task Protocol Inconsistency Knowledge Distillation (BCKD) method. For our custom Veterinary Drug Residue Rapid Test Card (VDR-RTC) dataset, it achieves an mAP50 of 97.4 and anmAP50-95of 89.5. When deployed on the RK3568 device, it delivers results in just 5.4 s—substantially faster than comparable models. Conclusions: These results highlight the system’s strong potential for high-throughput, cost-effective, and rapid veterinary antibiotic residue screening, supporting food safety surveillance efforts. Full article
(This article belongs to the Special Issue Veterinary Antibiotics in Food-Producing Animals: Residue Detection, Risk Assessment and Regulatory Advances)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop