AIMC Topic: Veterinary Drugs

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A Surface-Enhanced Raman Spectroscopy Platform Integrating Dual Signal Enhancement and Machine Learning for Rapid Detection of Veterinary Drug Residues in Meat Products.

ACS applied materials & interfaces Mar 2, 2025
The detection and quantification of veterinary drug residues in meat remain a significant challenge due to the complex background interference inherent to the meat matrix, which compromises the stability and accuracy of spectroscopic analysis. This s...
Animals Spectrum Analysis, Raman Machine Learning Drug Residues Veterinary Drugs Metal Nanoparticles Meat Products Food Contamination
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Monitoring of veterinary drug residues in mutton based on hyperspectral combined with explainable AI: A case study of OFX.

Food chemistry Jan 27, 2025
Veterinary drug residues in meat seriously harm human health. Rapid and accurate detection of veterinary drug residues is necessary to minimize contamination. Taking ofloxacin (OFX) residues in mutton as an example, the near-infrared hyperspectral im...
Food Contamination Neural Networks, Computer Hyperspectral Imaging Animals Veterinary Drugs Meat Drug Residues Anti-Bacterial Agents Ofloxacin
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A Support Vector Machine-Assisted Metabolomics Approach for Non-Targeted Screening of Multi-Class Pesticides and Veterinary Drugs in Maize.

Molecules (Basel, Switzerland) Jun 26, 2024
The contamination risks of plant-derived foods due to the co-existence of pesticides and veterinary drugs (P&VDs) have not been fully understood. With an increasing number of unexpected P&VDs illegally added to foods, it is essential to develop a non...
Support Vector Machine Food Contamination Metabolomics Principal Component Analysis Pesticides Veterinary Drugs Chromatography, High Pressure Liquid Tandem Mass Spectrometry Zea mays
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Enhancement of multianalyte mass spectrometry detection through response surface optimization by least squares and artificial neural network modelling.

Journal of chromatography. A Oct 10, 2019
In this work, the use of design of experiments and posterior data modelling by artificial neural network (ANN) and least squares (LS) is presented as a suitable analytical tool for the performance optimization of a tandem mass spectrometric detector ...
Veterinary Drugs Electricity Solvents Chromatography, High Pressure Liquid Neural Networks, Computer Tandem Mass Spectrometry Least-Squares Analysis
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Development of machine learning-based quantitative structure-activity relationship models for predicting plasma half-lives of drugs in six common food animal species.

Toxicological sciences : an official journal of the Society of Toxicology Jan 1, 2025
Plasma half-life is a crucial pharmacokinetic parameter for estimating extralabel withdrawal intervals of drugs to ensure the safety of food products derived from animals. This study focuses on developing a quantitative structure-activity relationshi...
Quantitative Structure-Activity Relationship Veterinary Drugs Sheep Turkeys Cattle Chickens Goats Half-Life Animals Neural Networks, Computer Swine Algorithms Machine Learning
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Hypercalcemia and acute renal insufficiency following use of a veterinary supplement.

Jornal brasileiro de nefrologia Jan 1, 2017
A previously healthy 24 yo male presented with a two-month history of epigastric pain, nausea, vomiting, fatigue and malaise. He reported abuse of different substances, including an injectable veterinary vitamin compound, which contains high doses of...
Vitamin E Male Acute Kidney Injury Humans Veterinary Drugs Young Adult Vitamin D Vitamin A Vitamins Hypercalcemia
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