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Lateral flow immunoassay for analyzing sulfadimethoxine residues in muscle tissue of olive flounder (Paralichthys olivaceus) KCI 등재

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예방수의학회지 (Journal of Preventive Veterinary Medicine)
한국예방수의학회(구 한국수의공중보건학회) (The Korean Society of Preventive Veterinary Medicine)
초록

Antibiotic Detection Kit (Combination I), a lateral flow immunoassay (LFIA) developed for detecting antibiotic residues in milk, was utilized for the analysis of antibiotic residues in the muscle tissue of olive flounder. After 5-h treatment of samples by placing them in water dosed with sulfadimethoxine (SDM; 200 g/ton water), the residue depletion of SDM was investigated in 25 cultured olive flounders (Paralichthys olivaceus). Muscles from fish were sampled before treatment and on the 1st, 2nd, 3rd, 4th and 5th days after treatment. The concentration of SDM in the muscle was then determined by LFIA. The absorbance ratio of the sample to the control blank (Bs/Bo) was employed as an index to determine the residue in olive flounder muscle. To investigate the recovery rate, standard solutions were added to muscle samples to obtain final concentrations of 25 and 50 ng/mL in the muscle. The recovery rates of all spiked samples were >96.6% of the spiked value. SDM was detectable in the muscle of fish treated with the drug until the 1st day of the withdrawal period. The present study shows that the LFIA can be easily adopted to detect SDM residues in the tissue of farmed fish.

목차
Abstract
 INTRODUCTION
 MATERIALS AND METHODS
  Reagents and immunoassay kit
  Drug treatment and collection of samples
  Analysis of SDM residues in muscle samples
  Preparation of standard curve
  Recovery test
 RESULTS
  Standard curve of SDM
  Analysis of SDM residues in muscle samples
 DISCUSSION
 REFERENCES
저자
  • Chun Nam Cha(Engineering Research Institute, Department of Industrial Systems Engineering, Gyeongsang National University)
  • Soo-Mi Lee(Department of Environmental Health, Graduate School of Public Health, Gyeongsang National University)
  • Eun Kee Park(Department of Medical Humanities and Social Medicine, College of Medicine, Kosin University)
  • Chang-Yeul Yoo(Department of Computer Information, Gyeongnam Provincial Namhae College)
  • Suk Kim(Research Institute of Life Sciences, College of Veterinary Medicine, Gyeongsang National University)
  • Hu Jang Lee(Research Institute of Life Sciences, College of Veterinary Medicine, Gyeongsang National University) Corresponding Author