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,"/> <font face="Verdana">Study on Prediction Model of Eprinomectin Residue in Bovine Tissues After Subcutaneous Administration#br# </font>

Scientia Agricultura Sinica ›› 2010, Vol. 43 ›› Issue (13): 2813-2819 .doi: 10.3864/j.issn.0578-1752.2010.13.023

• VETERINARY SCIENCE • Previous Articles     Next Articles

Study on Prediction Model of Eprinomectin Residue in Bovine Tissues After Subcutaneous Administration#br#

JIANG Hai-yang,WU Cong-ming, DING Shuang-yang, ZHAO Si-jun, XU Fei, LI Jian-cheng,XIA Xi, LIU Jin-feng, SHEN Jian-zhong#br#   

  1. (中国农业大学动物医学院/国家兽药残留基准实验室)
  • Received:2009-12-31 Revised:2010-04-26 Online:2010-07-01 Published:2010-07-01
  • Contact: SHEN Jian-zhong

Abstract:

【Objective】 The aim of this research is to find the relationship to eprinomectin (EPR) residue amount in bovine blood, urine, feces, hair and tissues including muscle, liver, kidney and fat and develop prediction models. 【Method】 Twenty-four parasite-free cross cattle were administered subcutaneously with 1% EPR injectable oil formulation at a dose of 0.5 mg?kg-1 body weight. Three treated animals (two males and one female) were selected randomly and killed at 1, 3, 7, 14, 21, 28, 42 and 56 days after injection. The samples mentioned above were collected and analyzed. 【Results】 The relative coefficients of prediction model regress equations fitted using SPSS 13.0 software with EPR residue concentration in blood in elimination phrase as independent variable were more than 0.9. The F test was used to analyze goodness of fit for equations with P values lower than 0.001. The relative coefficients of prediction model regress equations with EPR residue concentration in feces in elimination phrase as independent variable were more than 0.8. The F test used to analyze goodness of fit for equations with P values was lower than 0.001. 【Conclusion】 These results demonstrated that the prediction models had statistical significance and furthermore revealed that there is a strong correlation between amounts of EPR residue in blood or feces and edible tissues.

Key words: eprinomectin')">eprinomectin, cattle, high performance chromatography, residue, prediction model

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