Literature DB >> 32829245

Metal-polydopamine framework based lateral flow assay for high sensitive detection of tetracycline in food samples.

Yongming Tian1, Tong Bu1, Meng Zhang1, Xinyu Sun1, Pei Jia1, Qinzhi Wang1, Yingnan Liu1, Feier Bai1, Shuang Zhao1, Li Wang2.   

Abstract

Gold nanoparticles (AuNPs)-based lateral flow assay (LFA) enables a rapid detection of tetracycline (TET) in food samples but suffers from low sensitivity. Herein, metal-polydopamine framework (MPF), as a label, was employed to load monoclonal antibodies (mAbs) directly as the probe in LFA for highly sensitive sensing of TET. Combining zeolitic imidazolate framework (ZIF-67) and polydopamine (PDA), a stable MPF with large size, well water-dispersible, excellent affinity and optical properties was prepared through a versatile layer-by-layer assembly (LLA) strategy. Under optimized conditions, the biosensor (MPF-LFA) exhibited a great linear relationship in the range of 0.09-6 ng/mL and a detection limit of 0.045 ng/mL for TET detection, which was over 66-fold more sensitive than traditional AuNPs based LFA. Furthermore, the MPF-LFA was successfully applied to the screening of TET in fish, chicken, milk and shrimp samples with satisfied recoveries from 91% to 114%.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Food analysis; Lateral flow assay; Metal-polydopamine framework; Tetracycline

Mesh:

Substances:

Year:  2020        PMID: 32829245     DOI: 10.1016/j.foodchem.2020.127854

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Lateral flow immunoassay based on polydopamine-coated metal-organic framework for the visual detection of enrofloxacin in milk.

Authors:  Gan Zhang; Shengliang Deng; Bolong Fang; Ganggang Zhang; Xiaocui Lai; Liu Su; Weihua He; Weihua Lai
Journal:  Anal Bioanal Chem       Date:  2022-08-26       Impact factor: 4.478

2.  Latex Microsphere-Based Bicolor Immunochromatography for Qualitative Detection of Neutralizing Antibody against SARS-CoV-2.

Authors:  Zhanwei Liang; Tao Peng; Xueshima Jiao; Yang Zhao; Jie Xie; You Jiang; Bo Meng; Xiang Fang; Xiaoping Yu; Xinhua Dai
Journal:  Biosensors (Basel)       Date:  2022-02-07
  2 in total

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