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Research article - Peer-reviewed, 2020

Functional Up-Conversion Nanoparticle-Based Immunochromatography Assay for Simultaneous and Sensitive Detection of Residues of Four Tetracycline Antibiotics in Milk

Xu, Ying; Ma, Biao; Chen, Erjing; Yu, Xiaoping; Sun, Chuanxin; Zhang, Mingzhou

Abstract

An ultrahigh-sensitivity lateral flow immunochromatography (LFIC) assay based on up-converting nanoparticles (UCNPs) was developed to carry out a multi-residue detection of tetracycline in milk. The sensitivity of the immunoassay was greatly improved by the use of a broad-spectrum monoclonal antibody attached to UCNPs to form a signal probe. Under the optimal conditions, the UCNP-LFIC assay enabled sensitive detection of tetracycline (TC) as well as of oxytetracycline (OTC), chlortetracycline (CTC), and doxycycline (DOX) within 10 min, withIC(50)values of 0.32, 0.32, 0.26, 0.22 ng/mL, respectively. There was no cross-reactivity with ten other antibiotics. Similarly, we evaluated the experimental results for matrix effects. Experiments involving spiking showed the four tetracycline antibiotics displaying mean recoveries ranging from 93.95 to 111.90% with relative standard deviations (RSDs) of < 9.95%. The detection results of actual samples using the developed method showed a good correlation (R-2 >= 0.98) with the results using high-performance liquid chromatography (HPLC). Thus, the assay can achieve an ultrahighly sensitive detection of antibiotics in milk, and can hence promote human health and provides promising applications in the bio-detection field.

Keywords

up-conversion nanoparticle; tetracycline; immunoassay; multi-residue detection; milk

Published in

Frontiers in Chemistry
2020, volume: 8, article number: 759
Publisher: FRONTIERS MEDIA SA

Authors' information

Xu, Ying
China Jiliang University
Ma, Biao
China Jiliang University
Chen, Erjing
China Jiliang University
Yu, Xiaoping
China Jiliang University
Swedish University of Agricultural Sciences, Department of Plant Biology
Zhang, Mingzhou
China Jiliang University

UKÄ Subject classification

Analytical Chemistry

Publication Identifiers

DOI: https://doi.org/10.3389/fchem.2020.00759

URI (permanent link to this page)

https://res.slu.se/id/publ/108629