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An indirect competitive assay-based method for the sensitive determination of tetracycline residue using a real-time fluorescence-based quantitative polymerase chain reaction.
Sheng, Tianying; Chen, Hanyu; Lei, Yingying; Zhang, Baozhong; Zhu, Huina.
Affiliation
  • Sheng T; School of Environmental Engineering, Henan University of Technology, Zhengzhou 450001, PR China. chy071@haut.edu.cn.
  • Chen H; School of Environmental Engineering, Henan University of Technology, Zhengzhou 450001, PR China. chy071@haut.edu.cn.
  • Lei Y; School of Environmental Engineering, Henan University of Technology, Zhengzhou 450001, PR China. chy071@haut.edu.cn.
  • Zhang B; School of Environmental Engineering, Henan University of Technology, Zhengzhou 450001, PR China. chy071@haut.edu.cn.
  • Zhu H; School of Environmental Engineering, Henan University of Technology, Zhengzhou 450001, PR China. chy071@haut.edu.cn.
Anal Methods ; 15(37): 4892-4899, 2023 Sep 28.
Article in En | MEDLINE | ID: mdl-37718682
Tetracycline (TC) is an effective antibiotic used to treat humans and livestock, but its inappropriate use imposes toxic effects, including pollution, on environmental ecology and food. Currently, sensitive, accurate, and cost-effective methods that can detect lower concentrations of TC residues in environmental and food samples are needed. In this study, a novel indirect competitive assay-based aptamer method was developed for detecting TC residues through signal amplification by real-time fluorescence-based quantitative polymerase chain reaction. The response surface methodology was introduced to optimize the optimal concentrations (influencing factors) of the three types of single-stranded DNA in the competitive assay process. The optimal conditions for the three types of ssDNA were 112 nM for the specific aptamer of TC (Apt40), 115 nM for the signal DNA, and 83 nM for the DNA catcher. As expected, under optimal conditions, the Ct value was linearly related to the logarithm of TC concentration. The calibration curve equation was Ct = -0.34516 log[TC] + 9.9345 (R2 = 0.998) in the range of 10-3-103 ng mL-1, and the limit of detection was 7.02 × 10-5 ng mL-1. The new method was effectively applied to detect TC residues in wastewater, honey, and milk samples. It achieved an average recovery rate of 101.19% with a small variation of 5.16%. The validation was carried out using an enzyme-linked immunosorbent assay. This approach demonstrates high sensitivity and selectivity, making it well suited for detecting leftover antibiotics in food when using suitable aptamers.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Anal Methods Year: 2023 Document type: Article Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Anal Methods Year: 2023 Document type: Article Country of publication: United kingdom