Veterinary Drug Residues in Food Chains: Sources, Exposure Pathways, Health Impacts, Mitigation, and Safety Assurance
Abstract
1. Introduction
2. The Sources of Veterinary Drug Residues in Food Chains
2.1. Feed Contamination
2.2. Irrational Use of Drugs
2.3. Too Short a Withdrawal Period
2.4. Environmental Pollution
3. Human Exposure to Veterinary Drug Residues
3.1. Food Intake
3.2. Potable Water
3.3. Occupational Exposure
4. Toxic Effects of Drug Residues in Food
4.1. Acute and Chronic Toxic Effects
4.2. Development of Bacterial Resistance
4.3. Causes of Dysbiosis of the Flora
4.4. Carcinogenic, Teratogenic, and Mutagenic Effects
4.5. Anaphylaxis
5. Mitigation Strategies for Drug Residues in Animal-Derived Foods
5.1. Rational Use of Antibiotics in Animal Farming
5.2. Strengthening the Supervision and Education of Veterinary Drugs
5.3. Developing Alternative Varieties of Antibiotics
5.3.1. Probiotics
5.3.2. Phage
5.3.3. Organic Acids
5.3.4. Antimicrobial Peptide
5.3.5. Botanical Extracts
5.3.6. Nanoparticles
5.3.7. Antibodies
6. Food Safety Assurance Measures
6.1. Chemical Analysis Method
6.1.1. Gas Chromatography
6.1.2. Liquid Chromatography
6.2. Immunological Technique
6.2.1. Enzyme-Linked Immunosorbent Assay
6.2.2. Colloidal Gold Immunoassay Assay
6.2.3. Chemiluminescence Immunoassay Assay
6.2.4. Fluorescence Polarization Immunoassay Assay
6.2.5. Fluorescence Immunoassay Assay
6.2.6. Time-Resolved Fluoro Immunoassay Assay
6.3. Spectrum Technology
6.3.1. Surface-Enhanced Raman Spectroscopy
6.3.2. Near-Infrared Spectroscopy
6.4. Biosensor Technology
6.5. Molecular Biological Technique
6.5.1. Biochip Technology
6.5.2. Molecular Imprinting Technique
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| 5-HT | 5-hydroxytryptamine |
| ADI | Acceptable Daily Intake |
| APIs | Active pharmaceutical ingredients |
| AGPs | Antibiotic growth promoters |
| ARGs | Antibiotic resistance genes |
| ARB | Antibiotic-resistant bacteria |
| Abs | Antibodies |
| AMR | Antimicrobial resistance |
| CLIA | Chemiluminescence immunoassay assay |
| CGIA | Colloidal gold immunoassay assay |
| DG SANTE | Directorate-General for Health and Food Safety |
| ELISA | Enzyme-linked immunosorbent assay |
| EU | European Union |
| FLISA | Fluorescence immunoassay assay |
| FPIA | Fluorescence polarization immunoassay assay |
| FAO | Food and Agriculture Organization |
| FDA | Food and Drug Administration |
| FSIS | Food Safety and Inspection Service |
| GC | Gas chromatography |
| GLASS | Global Antimicrobial Resistance and Use Surveillance System |
| GEMS/Food | Global Environment Monitoring System-Food Contamination Monitoring and Assessment Programme |
| HRMS | High-resolution mass spectrometry |
| HGT | Horizontal gene transfer |
| ICD | Inspection Classification Database |
| JECFA | Joint FAO/WHO Expert Committee on Food Additives |
| LC | Liquid chromatography |
| MRLs | Maximum Residue Limits |
| MGEs | Mobile genetic elements |
| MIPs | Molecularly imprinted polymers |
| MDR | Multidrug resistance |
| NIRS | Near-infrared spectroscopy |
| ND | Not Detected |
| RASFF | Rapid Alert System for Food and Feed |
| SAMR | State Administration for Market Regulation |
| SERS | Surface-enhanced Raman spectroscopy |
| TRFIA | Time-resolved fluoroimmunoassay assay |
| UNEP | United Nations Environment Programme |
| US | United States |
| VDRs | Veterinary drug residues |
| WHO | World Health Organization |
| WOAH | World Organization for Animal Health |
| ZnSQDs | Zinc sulfide quantum dots |
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| Product Category | Veterinary Drug Class/Name | EU MRL | US MRL | China MRL | Codex MRL | Key Data Sources (Links) |
|---|---|---|---|---|---|---|
| Milk | Penicillin G (β-lactams) | 4 µg/kg | ND | 4 µg/kg | - | [43,44,45,46] |
| Enrofloxacin and ciprofloxacin | 100 µg/kg | - | 100 µg/kg | - | ||
| Sulfonamides (total) | 100 µg/kg | 10 µg/kg | 100 µg/kg | 25 µg/kg | ||
| Chicken (muscle) | Tetracyclines (total) | 100 µg/kg | 2000 µg/kg | 100 µg/kg | 200 µg/kg | |
| Gentamicin (Aminoglycosides) | - | 100 µg/kg | 100 µg/kg | - | ||
| Chloramphenicol | ND | ND | ND | ND | ||
| Eggs | Enrofloxacin (Fluoroquinolones) | ND | ND | 10 µg/kg | - | |
| Gentamicin | - | ND | ND | - | ||
| Tetracyclines (e.g., Chlortetracycline) | 200 µg/kg | 400 µg/kg | 400 µg/kg | 400 µg/kg |
| Alternative Strategy Against Antibiotics | Mechanism of Action | Key Advantages | Major Limitations | References |
|---|---|---|---|---|
| probiotics | Competitive exclusion of intestinal pathogens is achieved, alongside the secretion of antimicrobial metabolites, to modulate gut microbiota and enhance barrier function. | High safety profile; promotes growth and improves gut health; cost-effective and easy to administer. | Efficacy is strain-, dose-, and host-dependent; influenced by environmental factors. | [103,104] |
| phage | Genetic material is injected into host bacteria for specific infection, followed by replication using host cellular machinery, ultimately leading to cell lysis. | High target specificity, sparing commensal flora; self-replicating; effective against ARB; biodegradable with low environmental impact. | Narrow host range; potential for bacterial resistance development; susceptible to gastric acid and immune clearance | [105,106] |
| Organic Acids | Modulation of gut microbiota and inhibition of pathogenic bacteria by lowering gastrointestinal pH. | Broad antimicrobial spectrum; enhances digestive enzyme activity and nutrient absorption; low risk of resistance; economical. | High doses may reduce palatability; efficacy affected by dietary buffering capacity. | [107,108] |
| antimicrobial peptide | Primary disruption of bacterial cell membrane integrity, with some variants also exhibiting immunomodulatory properties. | Rapid action; low propensity for resistance development; multifunctional (e.g., immune modulation). | High production cost; susceptible to proteolytic degradation in vivo; challenging to produce at scale. | [109,110] |
| botanical extracts | Complex actions including disruption of bacterial membranes, inhibition of quorum sensing, and provision of antioxidant and anti--inflammatory effects. | Natural origin; low resistance risk; often multifunctional (antioxidant, anti-inflammatory, immune-supporting). | Variable active ingredient content; potential palatability issues; optimal dosage and mechanisms require further research. | [111,112] |
| Nanoparticles | Membrane disruption, ROS generation, DNA/protein damage, and metal ion release collectively lead to bacterial cell death. | Multi-mechanistic action reduces resistance risk; can serve as targeted delivery vehicles. | Biosafety concerns (e.g., toxicity, bioaccumulation) are not fully defined; high cost; difficult to scale production. | [113,114] |
| antibody | Direct targeting of the bacterial surface or indirect neutralization of bacterial toxins and virulence factors that causezation of the bacterial toxins and virulence factors that give rise to infections. | Exceptional specificity and safety; no residue concerns. | High production cost; limited to single targets; oral delivery often inefficient (typically administered via injection or yolk antibodies). | [115,116] |
| Classification | Method | Sensitivity | Cost | Analysis Principle | Examples | References |
|---|---|---|---|---|---|---|
| Chemical analysis method | GC | Ppb level | Medium–High cost. Moderate instrument cost, increases with high-sensitivity detectors (e.g., MS). | The sample components are carried by the carrier gas after vaporization, and the separation action of the chromatography column separates different components. Finally, the detection signal is obtained at the detector. | A column-pretreatment derivatization-GC–MS/MS method for determining decoquinate residues in chicken tissue | [122] |
| LC | Ppb level | Medium–High cost. Moderate instrument cost, increases with high-sensitivity detectors (e.g., MS). | The sample solution is introduced into the chromatographic column via a high-pressure pump, where the sample components undergo varying degrees of distribution between the mobile phase and the stationary phase, thereby achieving separation. | UPLC-QTOF-MS technique was employed for the simultaneous quantification of residues of 20 veterinary drugs and their metabolites; PRiME extraction and UHPLC-Q-LIT/electrostatic field orbitrap HRMS were utilized for the detection of various veterinary drugs in sheep milk products. | [123,124] | |
| immunological technique | ELISA | Ppb level | Low–Medium cost. Low instrument cost; costs mainly from kits or antibody development. | Based on the specific binding between antigen and Ab, the separation and detection of target substances are achieved. | A highly sensitive colorimetric biosensor based on nanofiber membrane for on-site detection of chloramphenicol was developed by combining ELISA with nanofiber membrane; utilized the principle of aptamer-based competitive recognition to achieve quantitative detection of chloramphenicol in fish; developed HRP-labeled nanobodies for the detection of enrofloxacin in milk and animal tissues. | [125,126,127] |
| CGIA | Ppb-ppm level | Very low cost. Low test strip production cost; no instrument needed. | Using colloidal gold as a tracer label, the reaction is completed during chromatography through the principle of specific antigen-Ab binding, thereby achieving the purpose of detection. | Rapid, on-site, semiquantitative detection of tetracycline in seawater; detection of aldicarb in agricultural products and the environment. | [128,129] | |
| CLIA | Ppb level | Medium–High cost. | Combining high-sensitivity chemiluminescence detection technology with high-specificity immune reactions, the immune recognition process generates corresponding detectable light signals. | CLEIA for the quantitative measurement of sulfamethoxazole; CLEIA based on HRP-luminol-hydrogen peroxide (H2O2) chemiluminescence system for the detection of enrofloxacin. | [130,131] | |
| FPIA | Ppb level | Medium cost. | A known concentration of fluorescently labeled antigen is employed to compete with the target (antigen) for a fixed quantity of Ab. The detection is accomplished by measuring the relationship between the fluorescently labeled antigen and the polarization of the fluorescence. | Detecting amantadine in chicken meat; testing for ractopamine in pork. | [132,133] | |
| FLISA | Ppb level | Medium cost. | Detection is performed based on the optical properties of quantum dots and the principle of specific antigen-Ab binding. | Precise quantification of florfenicol residues in animal-derived food and feed; Simultaneous, sensitive, and visual detection of streptomycin, tetracycline, and PC-G in milk. | [134,135] | |
| TRFIA | Ppt-ppb level | High cost. Requires time-resolved fluorescence analyzer. | Lanthanide elements are labeled onto Abs or antigens as tracers. When labeled antigens and Abs form immunocomplexes, the fluorescence intensity of these complexes can be measured using a time-resolved fluorescence analyzer. | The strip test based on TRFMs-LFIA has achieved accurate quantitative and qualitative analysis for both ceftiofur and desfuroylceftiofur. | [136] | |
| spectrum technology | SERS | Ppb level | Medium cost. | Analyzing the scattered light spectrum at different frequencies from the incident light can provide information on the chemical structure, phase, morphology, crystallinity, and molecular interactions of the sample, enabling rapid qualitative and quantitative analysis of different components. | SPE-SERS method is used to detect tetracycline sodium, sulfadiazine, and benzylpenicillin in dairy products; SERS is combined with spectral preprocessing techniques to detect nitrofurantoin in honey. | [137,138] |
| NIRS | Ppb-ppm level | Low–Medium cost. | By detecting the absorption or reflection spectrum of a substance in the near-infrared spectral range, chemical composition information of the sample can be obtained. | Detecting antibiotic residues in milk; Determination of Sulfadiazine and sulfamethazine in shrimp paste. | [139,140] | |
| Biosensor technology | Ppt-ppb level | Low–High cost, varies widely. | Using component recognition as the biochemical sensing unit, the appropriate energy conversion principle is used to convert recognizable biological signals into detectable electrical, optical, acoustic, or thermal signals. | An AuNCs-MLFIA sensor based on highly luminescent gold nanoclusters is used to detect clenbuterol and ractopamine; ZnSQDs and PANI nanoparticles are combined with gold electrodes and clenbuterol Abs to form a highly sensitive electrochemical immunoassay sensor for clenbuterol detection. | [141,142] | |
| molecular biological technique | biochip technology | Ppb level | High cost (R&D and manufacturing). | By relying on the specific interactions between biomolecules, a miniature biochemical analysis system can be established, in which biochemical analysis is integrated onto the same chip surface through microfabrication and microelectronics technologies, thereby enabling the detection of target biomolecules. | A paper-based microfluidic chip combining boric acid-affinity MOF and molecular imprinted polymer was designed for high-specificity and visual detection of kanamycin; A monoclonal Ab specific for enrofloxacin was immobilized on the chip based on the principle of competitive binding, enabling high dynamic range detection of enrofloxacin. | [143,144] |
| molecular imprinting technique | Ppb level | Medium cost. | MIP has a certain spatial arrangement, and the polymers are not only able to recognize the size and shape of molecules but also able to form covalent or noncovalent bonds with the target molecules to achieve specific binding and detection. | MIPs are combined with functional materials such as MOFs and COFs for VDR detection; molecularly imprinted coWO4/g-C3N4 nanomaterials are used for the detection of furazolidone. | [145,146] |
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Wang, Y.; Wang, J.; Zhang, L.; Han, S.; Pan, X.; Wen, H.; Yang, H.; Wang, X.; Peng, D. Veterinary Drug Residues in Food Chains: Sources, Exposure Pathways, Health Impacts, Mitigation, and Safety Assurance. Foods 2026, 15, 840. https://doi.org/10.3390/foods15050840
Wang Y, Wang J, Zhang L, Han S, Pan X, Wen H, Yang H, Wang X, Peng D. Veterinary Drug Residues in Food Chains: Sources, Exposure Pathways, Health Impacts, Mitigation, and Safety Assurance. Foods. 2026; 15(5):840. https://doi.org/10.3390/foods15050840
Chicago/Turabian StyleWang, Yiting, Jiacan Wang, Linwei Zhang, Shiyun Han, Xiaoming Pan, Hao Wen, Hongfei Yang, Xu Wang, and Dapeng Peng. 2026. "Veterinary Drug Residues in Food Chains: Sources, Exposure Pathways, Health Impacts, Mitigation, and Safety Assurance" Foods 15, no. 5: 840. https://doi.org/10.3390/foods15050840
APA StyleWang, Y., Wang, J., Zhang, L., Han, S., Pan, X., Wen, H., Yang, H., Wang, X., & Peng, D. (2026). Veterinary Drug Residues in Food Chains: Sources, Exposure Pathways, Health Impacts, Mitigation, and Safety Assurance. Foods, 15(5), 840. https://doi.org/10.3390/foods15050840

