A novel electrochemical sensor for the detection of zearalenone in food matrices using PEGylated Fe3O4 nanoparticles supported by in-silico and multidetector AF4-Reference-Cited by-同舟云学术

A novel electrochemical sensor for the detection of zearalenone in food matrices using PEGylated Fe3O4 nanoparticles supported by in-silico and multidetector AF4

Published:2023-04 Issue: Volume:935 Page:117363
ISSN:1572-6657
Container-title:Journal of Electroanalytical Chemistry
language:en
Short-container-title:Journal of Electroanalytical Chemistry

Author:

Naidoo Lyndon^ORCID,Uwaya Gloria Ebube,Meier Florian^ORCID,Bisetty Krishna^ORCID

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering,Analytical Chemistry

Reference43 articles.

1. Electrochemical aptasensor based on Ce3NbO7/CeO2@Au hollow nanospheres by using Nb.BbvCI-triggered and bipedal DNA walker amplification strategy for zearalenone detection;Yan;Journal of Hazardous Materials,2022

2. Research Progress of Safety of Zearalenone: A Review;Han;Toxins,2022

3. Investigation of the mechanism of zearalenone metabolization in different systems: Electrochemical and theoretical approaches;Rogowska;Toxicon,2022

4. Zearalenone toxicosis on reproduction as estrogen receptor selective modulator and alleviation of zearalenone biodegradative agent in pregnant sows;Zhou;Journal of Animal Science and Biotechnology,2022

5. A simple rapid portable immunoassay of trace zearalenone in feed ingredients and agricultural food;Hao;Journal of Food Composition and Analysis,2022

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2. Core-Shell Fe3O4@C Nanoparticles as Highly Effective T2 Magnetic Resonance Imaging Contrast Agents: In Vitro and In Vivo Studies;Nanomaterials;2024-01-12

3. A novel molecularly imprinted electrochemical sensor based on graphitic carbon nitride nanosheets decorated bovine serum albumin@MnO2 nanocomposite for zearalenone detection;Journal of Food Composition and Analysis;2024-01

4. A novel MB-tagged aptasensor for Aflatoxin B1 detection in food using Fe3O4 nanoparticles substantiated with in silico modelling;Biosensors and Bioelectronics: X;2023-12