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Antibiotic residues, generated by the irrational use of drugs and environmental pollution, have always been a great challenge to aquaculture safety. Therefore, a quick, convenient, and performance-excellent way to detect antibiotic residues in aquaculture fish is urgently required. In this study, a multiplex immunochromatographic strip biosensor based on gold nanoparticles was developed for the simultaneous detection of five classes of antibiotic residues (24 β-lactam antibiotics, 26 sulfonamides, five tetracyclines, 24 quinolones, and four amphenicols) in aquaculture fish within 10 min. The detection ranges of five representative antibiotics, penicillin G, sulfamethazine, tetracycline, enrofloxacin, and chloramphenicol, were 2.33–38.4, 0.688–17.1, 1.4–48.1, 1.45–32.9, and 0.537–9.06 µg/kg, respectively. The accuracy and stability of these measurements were demonstrated by analyzing spiked fish samples, with recovery rates of 87.5%–115.2% and a coefficient of variation < 9.5%. The cross-reaction rates, based on the five representative antibiotics, were 3.77%–202% for β-lactams, 3.95%–137% for sulfonamides, 9.19%–100% for tetracyclines, 4.9%–145% for quinolones, and 3.2%–100% for amphenicols. The excellent testing performance of the biosensor strip to most of antibiotic residues in aquaculture fish ensures they meet the maximum residue limits required by countries or organizations. Therefore, this multiplex immunochromatographic strip biosensor is potentially applicable to the rapidly on-site determination of antibiotic residues in aquaculture fish.


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Gold-nanoparticle-based multiplex immuno-strip biosensor for simultaneous determination of 83 antibiotics

Show Author's information Xianlu Lei1,2Xinxin Xu1,2Liqiang Liu1,2Liguang Xu1,2Li Wang1,2Hua Kuang1,2( )Chuanlai Xu1,2( )
State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China

Abstract

Antibiotic residues, generated by the irrational use of drugs and environmental pollution, have always been a great challenge to aquaculture safety. Therefore, a quick, convenient, and performance-excellent way to detect antibiotic residues in aquaculture fish is urgently required. In this study, a multiplex immunochromatographic strip biosensor based on gold nanoparticles was developed for the simultaneous detection of five classes of antibiotic residues (24 β-lactam antibiotics, 26 sulfonamides, five tetracyclines, 24 quinolones, and four amphenicols) in aquaculture fish within 10 min. The detection ranges of five representative antibiotics, penicillin G, sulfamethazine, tetracycline, enrofloxacin, and chloramphenicol, were 2.33–38.4, 0.688–17.1, 1.4–48.1, 1.45–32.9, and 0.537–9.06 µg/kg, respectively. The accuracy and stability of these measurements were demonstrated by analyzing spiked fish samples, with recovery rates of 87.5%–115.2% and a coefficient of variation < 9.5%. The cross-reaction rates, based on the five representative antibiotics, were 3.77%–202% for β-lactams, 3.95%–137% for sulfonamides, 9.19%–100% for tetracyclines, 4.9%–145% for quinolones, and 3.2%–100% for amphenicols. The excellent testing performance of the biosensor strip to most of antibiotic residues in aquaculture fish ensures they meet the maximum residue limits required by countries or organizations. Therefore, this multiplex immunochromatographic strip biosensor is potentially applicable to the rapidly on-site determination of antibiotic residues in aquaculture fish.

Keywords: biosensor, antibiotic, aquaculture, immunochromatographic, strip

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Publication history
Copyright
Acknowledgements

Publication history

Received: 16 May 2022
Revised: 26 June 2022
Accepted: 11 July 2022
Published: 23 August 2022
Issue date: January 2023

Copyright

© Tsinghua University Press 2022

Acknowledgements

Acknowledgements

This work is financially supported by the National Key Research and Development Program (No. 2020YFC1606804) and the Natural Science Foundation of Jiangsu Province (No. BK20200598).

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