| Literature DB >> 27433102 |
Jae-Sang Song1, Su-Jeong Park1, Jung-Yun Choi1, Jin-Sook Kim1, Myung-Hee Kang1, Bo-Kyung Choi1, Sun Jin Hur2.
Abstract
This study was conducted to determine the residual amount of veterinary drugs such as meloxicam, flunixin, and tulathromycin in animal products (beef, pork, horsemeat, and milk). Veterinary drugs have been widely used in the rearing of livestock to prevent and treat diseases. A total of 152 samples were purchased from markets located in major Korean cities (Seoul, Busan, Incheon, Daegu, Daejeon, Gwangju, Ulsan and Jeju), including Jeju. Veterinary drugs were analyzed by liquid chromatography-tandem mass spectrometry according to the Korean Food Standards Code. The resulting data, which are located within 70-120% of recovery range and less than 20% of relative standard deviations, are in compliance with the criteria of CODEX. A total of five veterinary drugs were detected in 152 samples, giving a detection rate of approximately 3.3%; and no food source violated the guideline values. Our result indicated that most of the veterinary drug residues in animal products were below the maximum residue limits specified in Korea.Entities:
Keywords: animal products; flunixin; meloxicam; tulathromycin; veterinary dugs residues
Year: 2016 PMID: 27433102 PMCID: PMC4942546 DOI: 10.5851/kosfa.2016.36.3.319
Source DB: PubMed Journal: Korean J Food Sci Anim Resour ISSN: 1225-8563 Impact factor: 2.622
Fig. 1.The chemical structures of meloxicam, flunixin, and tulathromycin. (It was downloaded from Wikipedia)
HPLC-ESI/MS conditions for the analysis of meloxicam, flunixin, and tulathromycin
| Meloxicam | Flunixin | Tulathromycin | ||
|---|---|---|---|---|
| HPLC | Shiseido performance liquid chromatography | |||
| Mobile Phase | A: 10 mM Ammonium Formate | A: 0.1% Formic acid in D.W | ||
| B: Acetonitrile | B: 0.1% Formic acid in Acetonitrile | |||
| Gradient | 60% (A: 0-9 min) → 60-50% (A: 9-12 min) → 50-20% (A: 12-16 min) → 20-60% (A: 16-20 min) | |||
| Flow rate | 0.3 mL/min | |||
| Column | Cadenza 5CD-C18(2.1 mm I.D. × 150 mm, 5 μm) | |||
| Mass Spectrometry | Thermo Finigan TSQ Quantum Discovery Max | |||
| Ion mode | ESI (Positive) | |||
| Capillary temp | 350℃ | |||
| Collision gas | Ar | |||
| Collision Energy | ||||
| Energy Precursor ion(m/z) | Fragment ion(m/z) | |||
| Meloxicam | 352 | 115,141 | ||
| Flunixin | 297 | 279,264 | ||
| Flunixin D3 | 300 | 282,264 | ||
| Tulathromycin | 577 | 116,158 | ||
| Azythromycin | 749 | 83,158 | ||
Summary detailing the region of purchase and the types of veterinary drug residues found in foods
| Beef | Pork | Milk | Horse-meat | Total | |
|---|---|---|---|---|---|
| Seoul | 15(ND) | 18(2D)b) | 10(ND)a) | 43 | |
| Busan | 10(ND) | 16(ND) | 7(ND) | 33 | |
| Inchon | 6(ND) | 9(ND) | 4(ND) | 19 | |
| Daegu | 5(ND) | 8(3D) | 3(ND) | 16 | |
| Gwangju | 4(ND) | 7(ND) | 2(ND) | 13 | |
| Daejeon | 4(ND) | 7(ND) | 2(ND) | 13 | |
| Ulsan | 3(ND) | 7(ND) | 2(ND) | 12 | |
| Jeju | 3(ND) | 3 | |||
| Total | 47(ND) | 72(5D) | 30(ND) | 3(ND) | 152(5D) |
a)ND, Not Detected (below the detection limit); b)D, Detected.
The average recovery and RSD of meloxicam, flunixin, and tulathromycin
| Compound | Spiked (mg/kg) | Beef | Pig | Milk | Horse | ||||
|---|---|---|---|---|---|---|---|---|---|
| Recovery (%) | RSD | Recovery (%) | RSD | Recovery (%) | RSD | Recovery (%) | RSD | ||
| Meloxicam | 0.02 | 92.9 | 7.7 | 89.8 | 1.5 | - | - | - | - |
| 0.015 | - | - | - | - | 90.8 | 5.7 | - | - | |
| Flunixin | 0.02 | 86.7 | 3.9 | - | - | 90.4 | 5.3 | - | - |
| 0.05 | - | - | 82.4 | 5.1 | - | - | - | - | |
| 0.01 | - | - | - | - | - | - | 85.5 | 6.5 | |
| Tulathromycin | 0.1 | 87.2 | 6.1 | 89.8 | 2.6 | - | - | - | - |
Tulathromycin levels detected in the samples
| Region | Sample (Pork) | Level (mg/kg) | MRLs (mg/kg) | |
|---|---|---|---|---|
| Tulathromycin | Seoul | P-11 | 0.0013 | 0.1 |
| Seoul | P-12 | 0.0012 | ||
| Daegu | P-137 | 0.0011 | ||
| Daegu | P-138 | 0.0010 | ||
| Daegu | P-139 | 0.0013 |
The number of samples from each city
| Beef | Pork | Milk | Horse-meat | Total | |
|---|---|---|---|---|---|
| Seoul | 15 | 18 | 10 | 43 | |
| Busan | 10 | 16 | 7 | 33 | |
| Inchon | 6 | 9 | 4 | 19 | |
| Daegu | 5 | 8 | 3 | 16 | |
| Gwangju | 4 | 7 | 2 | 13 | |
| Daejeon | 4 | 7 | 2 | 13 | |
| Ulsan | 3 | 7 | 2 | 12 | |
| Jeju | 3 | 3 | |||
| Total | 47 | 72 | 30 | 3 | 152 |