scholarly journals Analytical Methods for the Determination of Veterinary Drug Residues in Food Products of Animal Origin

2011 ◽  
Vol 94 (2) ◽  
pp. 359-359
Author(s):  
Badar Shaikh
2021 ◽  
pp. 1650-1664
Author(s):  
Jagdish Kumar Parmar ◽  
Kundan Kumar Chaubey ◽  
Vikas Gupta ◽  
Manthena Nava Bharath

The veterinary drugs are broad-spectrum antibacterial antibiotics; it uses to cure the animal disease. Many countries have banned veterinary drug residues like nitrofurans metabolites, chloramphenicol. However, the people were administrated veterinary drugs to animals as illegal to increase the milk production in animals for economic benefit. The results of illegally use of veterinary drugs remain as a residue in animal product like milk and it is very harmful to whom consume it cause cancer and allergic for human being which has entered the concern among milk consumers. To control illegal use of veterinary drugs, the government of India has restricted its use in animals. For the identification and confirmation of veterinary drug residues in animal products, analytical techniques such as liquid chromatography and mass spectrometry are available. These are very sophisticated equipments which are available nowadays and their methodologies for the analytical method validation are described by European commission 2002/657/EC. The use of veterinary drugs is a big challenge to effectively identify and authorization of their use. There are so many analytical techniques are using very effectively and taking very less time to protect the consumers from their adverse effects. These techniques take very less time to identify more groups of compounds such as tetracycline, sulfonamides, anthelmintic, and macrolides in single multi-residue method. These methods having validation parameters include system precision, calibration curve, accuracy, limit of detection, and quantification. Therefore, improvement in the existing technologies and accessibility of new screening methodologies will give opportunities for automation that helps in obtaining the results in very less time and improved sensitivity and specificity which contribute to better safety assurance, standard, and quality of various food products of animal origin.


2019 ◽  
Vol 40 (3) ◽  
pp. 308-341 ◽  
Author(s):  
Anaïs Léger ◽  
Lis Alban ◽  
Anouk Veldhuis ◽  
Gerdien van Schaik ◽  
Katharina D. C. Stärk

2014 ◽  
Vol 6 (16) ◽  
pp. 6285 ◽  
Author(s):  
Jian Kang ◽  
Chun-Lin Fan ◽  
Qiao-Ying Chang ◽  
Ming-Nan Bu ◽  
Zhi-Yuan Zhao ◽  
...  

Author(s):  
Aurélien Desmarchelier ◽  
Thomas Bessaire ◽  
Marie-Claude Savoy ◽  
Adrienne Tarres ◽  
Claudia Mujahid ◽  
...  

Abstract Background Veterinary drug residues in food are substances (>200 compounds) exhibiting potential health risks for consumers, thus being regulated in national legislations and the Codex Alimentarius. Most of the compounds are regulated based upon a maximum residue limit (MRL) while a few of them are banned in food for humans. The food sector needs a reliable and consensus analytical platform able to monitor these substances in a wide range of food commodities. Objective Several confirmatory methods based on liquid chromatography-mass spectrometry are available in the literature for either screening or quantification of veterinary drug residues in food, but usually applicable to limited scope of matrices. The current work describes the single-laboratory validation (SLV) of a method for screening 154 veterinary drug residues in several food categories. Methods This work describes a streamlined platform making use of liquid chromatography-tandem mass spectrometry (LC-MS/MS) for screening 105 antibiotics, 41 antiparasitics, 5 anti-inflammatory agents and 3 tranquilizers in foods of animal origin. For the best performance across the commodities (dairy-, meat-, fish- and egg-based materials) four method streams were established. As a screening tool, probabilities of detection (PODs) were assessed at the screening target concentration (STC < MRL) and the blank. Results The SLV led to PODs at the STC >94% and PODs in the blank < 4%. Conclusion Performance is in agreement with the acceptance criteria defined in SMPR 2018.010. Highlights The Expert Review Panel approved the present method as AOAC Official First Action 2020.04.


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