Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154234
Title: Silver nanoprism-based plasmonic ELISA for sensitive detection of fluoroquinolones
Authors: Yuan, Meifang
Xiong, Qirong
Zhang, Ganggang
Xiong, Zhijuan
Liu, Daofeng
Duan, Hongwei
Lai, Weihua
Keywords: Engineering::Chemical engineering
Issue Date: 2020
Source: Yuan, M., Xiong, Q., Zhang, G., Xiong, Z., Liu, D., Duan, H. & Lai, W. (2020). Silver nanoprism-based plasmonic ELISA for sensitive detection of fluoroquinolones. Journal of Materials Chemistry B, 8(16), 3667-3675. https://dx.doi.org/10.1039/c9tb02776a
Project: ING000383-ENG
Journal: Journal of Materials Chemistry B
Abstract: Fluoroquinolones are synthetic antibiotics that are commonly used in animal husbandry, and the consumption of animal products with fluoroquinolone residues has imposed a serious threat to human health. Here, we report a plasmonic enzyme-linked immunosorbent assay (pELISA) method based on oxidative etching of silver nanoprisms (AgNPRs) for the quantitative and qualitative detection of danofloxacin (DAN), a fluoroquinolone antibiotic. AgNPRs that undergo colorimetric changes upon oxidative etching by H2O2 serve as the signal transducer in our design. An indirect competitive pELISA was constructed by introducing biotinylated monoclonal antibody (mAb), streptavidin and biotinylated glucose oxidase, which catalyzes the generation of H2O2 for etching AgNPRs. The quantitative detection limit of the proposed method was 0.24 ng mL-1 for DAN. The qualitative detection limit for DAN reached 0.32 ng mL-1, which was 32-fold lower than that of the assay using 3,3',5,5'-tetramethylbenzidine (TMB) as the signal transducer. The average recoveries of DAN in milk ranged from 103% to 121%, with a coefficient of variation of 0.6-3.41%. The recovery results were further confirmed using liquid chromatography-tandem mass spectrometry. In summary, the proposed AgNPR-etching pELISA exhibits high sensitivity, good accuracy and excellent reliability for the quantitative and qualitative detection of DAN in milk.
URI: https://hdl.handle.net/10356/154234
ISSN: 2050-750X
DOI: 10.1039/c9tb02776a
Schools: School of Chemical and Biomedical Engineering 
Rights: © 2020 The Royal Society of Chemistry. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCBE Journal Articles

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