4.7 Article

Development of Fe3O4@Au nanoparticles coupled to Au@Ag core-shell nanoparticles for the sensitive detection of zearalenone

Journal

ANALYTICA CHIMICA ACTA
Volume 1180, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.aca.2021.338888

Keywords

Surface-enhanced Raman scattering; Aptasensor; Nanoparticle; Aptamer; Zearalenone

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A universal surface-enhanced Raman scattering (SERS) aptasensor was developed for the detection of Zearalenone (ZEN) with a linear detection range from 0.005 to 500 ng mL(-1) and a detection limit of 0.001 ng mL(-1). The sensor showed excellent performance for analytical applications with real-world samples.
Agricultural products are frequently contaminated by mycotoxins; thus, the accurate detection of mycotoxins is important to food safety. Zearalenone (ZEN), a mycotoxin produced by certain Fusarium and Gibberella species, is a group III carcinogen. We developed a universal surface-enhanced Raman scattering (SERS) aptasensor for the detection of ZEN. The SERS biosensor consists of two functional nanomaterials: sulfhydryl (SH)-ZEN aptamer complementary DNA-modified Fe3O4@Au was used as a capture probe and SH-ZEN aptamer-modified Au@Ag core-shell nanoparticles served as reporter probes. In the absence of ZEN, the highest Raman signal was obtained owing to the SERS effects of Fe3O4@Au and Au@Ag core-shell nanoparticles. Conversely, the addition of ZEN triggered the release of Au@Ag core-shell nanoparticles from Fe3O4@Au, leading to a decrease in SERS intensity after magnetic separation. Hybridization of the ZEN aptamer and its complementary strand generated a strong SERS signal from the reporter probe. Moreover, preferential binding of the ZEN aptamer to ZEN was observed. The signal intensity in SERS decreased linearly when the capture probes released the reporter. For ZEN detection, a linear range from 0.005 to 500 ng mL(-1), with an R-2 of 0.9981, was obtained. The detection limit was 0.001 ng mL(-1). The SERS aptasensor showed excellent performance for analytical applications with real-world samples (beer and wine). This study presents a new model for the detection of mycotoxins based on simple changes in aptamers. (C) 2021 Elsevier B.V. All rights reserved.

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