Literature DB >> 31605985

Magnetic quantum dot based lateral flow assay biosensor for multiplex and sensitive detection of protein toxins in food samples.

Chongwen Wang1, Rui Xiao2, Shu Wang3, Xingsheng Yang4, Zikun Bai5, Xinying Li6, Zhen Rong7, Beifen Shen8, Shengqi Wang9.   

Abstract

Protein toxins, such as botulinum neurotoxin type A (BoNT/A) and staphylococcal enterotoxin B (SEB), easily pollute food and water and are ultra-toxic to humans and animals, thus requiring a sensitive on-site detection method. In this study, we reported a novel lateral flow assay (LFA) strip on the basis of magnetic quantum dot nanoparticles (MagQD NPs) for sensitive and multiplex protein toxin detection in food samples. A new type of MagQD NP was prepared by fixing the dense carboxylated QDs on the surface of polyethyleneimine-modified Fe3O4 magnetic NPs (MNPs) and applied in LFA with the following functions: capture and enrich target toxins from sample solutions and serve as advanced fluorescent labels for the quantitative determination of targets on the strip. Through this strategy, the assay realized quantified BoNT/A and SEB detection in 30 min with the limits of detection of 2.52 and 2.86 pg/mL, respectively. The selectivity and the ability of quantitative analysis of the method were validated in real food samples, including milk and juice. This MagQD-LFA biosensor showed considerable potential as a point-of-care testing tool for the sensitive detection of trace toxins.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Botulinum neurotoxin type A; Fluorescent lateral flow immunoassay; Magnetic-quantum dot nanoparticles; Simultaneous detection; Staphylococcal enterotoxin

Mesh:

Substances:

Year:  2019        PMID: 31605985     DOI: 10.1016/j.bios.2019.111754

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  15 in total

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Review 10.  Mimotopes for Mycotoxins Diagnosis Based on Random Peptides or Recombinant Antibodies from Phage Library.

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