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http://dx.doi.org/10.5187/jast.2022.e67

Evaluating sulfoxaflor residues in pig tissues using animal modeling  

Hyun-Woo, Cho (National Institute of Animal Science, Rural Development Administration)
Kangmin, Seo (National Institute of Animal Science, Rural Development Administration)
Jin Young, Jeong (National Institute of Animal Science, Rural Development Administration)
Ju Lan, Chun (National Institute of Animal Science, Rural Development Administration)
Ki Hyun, Kim (National Institute of Animal Science, Rural Development Administration)
Publication Information
Journal of Animal Science and Technology / v.64, no.5, 2022 , pp. 911-921 More about this Journal
Abstract
Maximum residue limits (MRL) for pesticides in feed have been set to protect public health and produce safe livestock products. In vivo experiments to establish MRL are essential, as livestock are commonly used to obtain reliable in vivo quantitative information. Here, we aimed to evaluate whether small laboratory animals can replace or reduce monogastric livestock in experiments to quantify pesticide residues in vivo after oral consumption through feed. First, 24 pigs and rats were randomly assigned to four groups and fed 0, 3, 9, or 30 mg/kg of sulfoxaflor. After four weeks, serum, muscle, fat, liver, kidney, and small intestine samples were collected, and sulfoxaflor residues were analyzed using liquid chromatography - tandem mass spectrometry. Sulfoxaflor residues in pig tissues were significantly correlated with those in rat tissues. Model equations were formulated based on the residual sulfoxaflor amount in pig and rat tissues. The calculated and measured sulfoxaflor residues in pigs and rats showed more than 90% similarity. Sulfoxaflor did not affect body weight gain, feed intake, or the feed conversion ratio. Therefore, we concluded that pesticide residue quantification in vivo to establish MRL could be performed using small laboratory animals instead of livestock animals. This would contribute to obtaining in vivo pesticide residue information and reducing large-scale livestock animal experiments.
Keywords
Pesticide residue; Maximum residue limits; Experimental animal; Livestock; Modeling;
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